Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/adapter_config.json +26 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/trainer_state.json +3530 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/adapter_config.json +28 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/trainer_state.json +0 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/adapter_config.json +28 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/trainer_state.json +0 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/adapter_config.json +26 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/trainer_state.json +0 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/adapter_config.json +26 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/trainer_state.json +0 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/adapter_config.json +28 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/trainer_state.json +0 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/README.md +9 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/adapter_config.json +26 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/adapter_model.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/config.json +221 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/generation_config.json +14 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/non_lora_trainables.bin +3 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/trainer_state.json +0 -0
- llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_all_mm_tune_512_llm/README.md +9 -0
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"up_proj",
|
18 |
+
"q_proj",
|
19 |
+
"o_proj",
|
20 |
+
"k_proj",
|
21 |
+
"v_proj",
|
22 |
+
"gate_proj",
|
23 |
+
"down_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a87db262e98cd4b8d78beb4f9e263fb293df05635b3ac4e3c51dd666bea98e88
|
3 |
+
size 1384057050
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
3 |
+
size 912
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_512_llm/trainer_state.json
ADDED
@@ -0,0 +1,3530 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": 4.85112111944993,
|
14 |
+
"learning_rate": 6.666666666666667e-07,
|
15 |
+
"loss": 1.4169,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0,
|
20 |
+
"grad_norm": 1.349335609541988,
|
21 |
+
"learning_rate": 1.3333333333333334e-06,
|
22 |
+
"loss": 0.4395,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.01,
|
27 |
+
"grad_norm": 1.8901132050817202,
|
28 |
+
"learning_rate": 2.0000000000000003e-06,
|
29 |
+
"loss": 0.5624,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.01,
|
34 |
+
"grad_norm": 1.7730611136792902,
|
35 |
+
"learning_rate": 2.666666666666667e-06,
|
36 |
+
"loss": 0.5882,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.01,
|
41 |
+
"grad_norm": 1.58151584131742,
|
42 |
+
"learning_rate": 3.3333333333333333e-06,
|
43 |
+
"loss": 0.4787,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.01,
|
48 |
+
"grad_norm": 2.655609159821099,
|
49 |
+
"learning_rate": 4.000000000000001e-06,
|
50 |
+
"loss": 0.8102,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.01,
|
55 |
+
"grad_norm": 1.5330182754444979,
|
56 |
+
"learning_rate": 4.666666666666667e-06,
|
57 |
+
"loss": 0.4769,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.02,
|
62 |
+
"grad_norm": 1.4708190466525344,
|
63 |
+
"learning_rate": 5.333333333333334e-06,
|
64 |
+
"loss": 0.5067,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.02,
|
69 |
+
"grad_norm": 1.1741416125033164,
|
70 |
+
"learning_rate": 6e-06,
|
71 |
+
"loss": 0.4245,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.02,
|
76 |
+
"grad_norm": 1.4884515435695005,
|
77 |
+
"learning_rate": 6.666666666666667e-06,
|
78 |
+
"loss": 0.4758,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.02,
|
83 |
+
"grad_norm": 0.9273383382028549,
|
84 |
+
"learning_rate": 7.333333333333333e-06,
|
85 |
+
"loss": 0.3257,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.02,
|
90 |
+
"grad_norm": 1.2746507856751552,
|
91 |
+
"learning_rate": 8.000000000000001e-06,
|
92 |
+
"loss": 0.4055,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.03,
|
97 |
+
"grad_norm": 2.014594518697626,
|
98 |
+
"learning_rate": 8.666666666666668e-06,
|
99 |
+
"loss": 0.5426,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.03,
|
104 |
+
"grad_norm": 1.8586569224695126,
|
105 |
+
"learning_rate": 9.333333333333334e-06,
|
106 |
+
"loss": 0.4112,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.03,
|
111 |
+
"grad_norm": 1.1219716136449773,
|
112 |
+
"learning_rate": 1e-05,
|
113 |
+
"loss": 0.2521,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.03,
|
118 |
+
"grad_norm": 1.1573810523787038,
|
119 |
+
"learning_rate": 9.999895105006995e-06,
|
120 |
+
"loss": 0.2143,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.03,
|
125 |
+
"grad_norm": 1.7453793880408,
|
126 |
+
"learning_rate": 9.99958042442916e-06,
|
127 |
+
"loss": 0.292,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.04,
|
132 |
+
"grad_norm": 1.132964534166692,
|
133 |
+
"learning_rate": 9.999055971469864e-06,
|
134 |
+
"loss": 0.2195,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.04,
|
139 |
+
"grad_norm": 2.129476208393603,
|
140 |
+
"learning_rate": 9.998321768134101e-06,
|
141 |
+
"loss": 0.2723,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.04,
|
146 |
+
"grad_norm": 0.9509982409945354,
|
147 |
+
"learning_rate": 9.997377845227577e-06,
|
148 |
+
"loss": 0.2238,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.04,
|
153 |
+
"grad_norm": 1.2039057738144747,
|
154 |
+
"learning_rate": 9.9962242423554e-06,
|
155 |
+
"loss": 0.2227,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.04,
|
160 |
+
"grad_norm": 0.8827305723192147,
|
161 |
+
"learning_rate": 9.99486100792044e-06,
|
162 |
+
"loss": 0.1864,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.05,
|
167 |
+
"grad_norm": 0.9315903551587646,
|
168 |
+
"learning_rate": 9.993288199121283e-06,
|
169 |
+
"loss": 0.1668,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.05,
|
174 |
+
"grad_norm": 0.6851374572709672,
|
175 |
+
"learning_rate": 9.991505881949837e-06,
|
176 |
+
"loss": 0.1307,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.05,
|
181 |
+
"grad_norm": 0.6909485913620177,
|
182 |
+
"learning_rate": 9.98951413118856e-06,
|
183 |
+
"loss": 0.16,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.05,
|
188 |
+
"grad_norm": 0.7406648593699517,
|
189 |
+
"learning_rate": 9.987313030407325e-06,
|
190 |
+
"loss": 0.1837,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.05,
|
195 |
+
"grad_norm": 0.7238996498107553,
|
196 |
+
"learning_rate": 9.984902671959911e-06,
|
197 |
+
"loss": 0.1254,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.06,
|
202 |
+
"grad_norm": 1.036829853615859,
|
203 |
+
"learning_rate": 9.982283156980133e-06,
|
204 |
+
"loss": 0.1257,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.06,
|
209 |
+
"grad_norm": 0.46928883832662704,
|
210 |
+
"learning_rate": 9.979454595377594e-06,
|
211 |
+
"loss": 0.1402,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.06,
|
216 |
+
"grad_norm": 0.7995129150340999,
|
217 |
+
"learning_rate": 9.97641710583307e-06,
|
218 |
+
"loss": 0.133,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.06,
|
223 |
+
"grad_norm": 0.7158087581331645,
|
224 |
+
"learning_rate": 9.973170815793543e-06,
|
225 |
+
"loss": 0.1721,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.06,
|
230 |
+
"grad_norm": 1.1000323699939043,
|
231 |
+
"learning_rate": 9.969715861466839e-06,
|
232 |
+
"loss": 0.2289,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.07,
|
237 |
+
"grad_norm": 0.7540364135170671,
|
238 |
+
"learning_rate": 9.966052387815923e-06,
|
239 |
+
"loss": 0.1731,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.07,
|
244 |
+
"grad_norm": 0.9083373383705893,
|
245 |
+
"learning_rate": 9.962180548552812e-06,
|
246 |
+
"loss": 0.1548,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.07,
|
251 |
+
"grad_norm": 0.7013209781158779,
|
252 |
+
"learning_rate": 9.958100506132127e-06,
|
253 |
+
"loss": 0.1093,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.07,
|
258 |
+
"grad_norm": 0.41412415464083024,
|
259 |
+
"learning_rate": 9.953812431744274e-06,
|
260 |
+
"loss": 0.1133,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.07,
|
265 |
+
"grad_norm": 0.9425192972976834,
|
266 |
+
"learning_rate": 9.94931650530827e-06,
|
267 |
+
"loss": 0.1646,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.08,
|
272 |
+
"grad_norm": 0.675296221063655,
|
273 |
+
"learning_rate": 9.944612915464183e-06,
|
274 |
+
"loss": 0.1718,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.08,
|
279 |
+
"grad_norm": 0.8388610957624392,
|
280 |
+
"learning_rate": 9.93970185956522e-06,
|
281 |
+
"loss": 0.1141,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.08,
|
286 |
+
"grad_norm": 0.5596739992412059,
|
287 |
+
"learning_rate": 9.934583543669454e-06,
|
288 |
+
"loss": 0.1183,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.08,
|
293 |
+
"grad_norm": 0.7061961098399181,
|
294 |
+
"learning_rate": 9.929258182531167e-06,
|
295 |
+
"loss": 0.1445,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.08,
|
300 |
+
"grad_norm": 0.8146238570997492,
|
301 |
+
"learning_rate": 9.923725999591846e-06,
|
302 |
+
"loss": 0.13,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.09,
|
307 |
+
"grad_norm": 0.6982418193712115,
|
308 |
+
"learning_rate": 9.917987226970811e-06,
|
309 |
+
"loss": 0.1887,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.09,
|
314 |
+
"grad_norm": 0.45737000411433804,
|
315 |
+
"learning_rate": 9.912042105455462e-06,
|
316 |
+
"loss": 0.1061,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.09,
|
321 |
+
"grad_norm": 0.49781720686446135,
|
322 |
+
"learning_rate": 9.905890884491196e-06,
|
323 |
+
"loss": 0.133,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.09,
|
328 |
+
"grad_norm": 0.5911717837670529,
|
329 |
+
"learning_rate": 9.899533822170922e-06,
|
330 |
+
"loss": 0.1108,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.09,
|
335 |
+
"grad_norm": 0.762707651269511,
|
336 |
+
"learning_rate": 9.892971185224244e-06,
|
337 |
+
"loss": 0.1585,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.1,
|
342 |
+
"grad_norm": 0.6655950445860507,
|
343 |
+
"learning_rate": 9.886203249006265e-06,
|
344 |
+
"loss": 0.1677,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.1,
|
349 |
+
"grad_norm": 0.3521712122009652,
|
350 |
+
"learning_rate": 9.879230297486034e-06,
|
351 |
+
"loss": 0.0948,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.1,
|
356 |
+
"grad_norm": 0.6177305571716366,
|
357 |
+
"learning_rate": 9.872052623234632e-06,
|
358 |
+
"loss": 0.1569,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.1,
|
363 |
+
"grad_norm": 0.6707310128698482,
|
364 |
+
"learning_rate": 9.864670527412891e-06,
|
365 |
+
"loss": 0.1821,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.1,
|
370 |
+
"grad_norm": 0.7363677911996476,
|
371 |
+
"learning_rate": 9.857084319758772e-06,
|
372 |
+
"loss": 0.1538,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.11,
|
377 |
+
"grad_norm": 0.7240548069315486,
|
378 |
+
"learning_rate": 9.849294318574353e-06,
|
379 |
+
"loss": 0.1462,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.11,
|
384 |
+
"grad_norm": 0.516881727794041,
|
385 |
+
"learning_rate": 9.841300850712479e-06,
|
386 |
+
"loss": 0.1053,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.11,
|
391 |
+
"grad_norm": 0.46953360641861996,
|
392 |
+
"learning_rate": 9.833104251563058e-06,
|
393 |
+
"loss": 0.1348,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.11,
|
398 |
+
"grad_norm": 0.593834579076815,
|
399 |
+
"learning_rate": 9.824704865038967e-06,
|
400 |
+
"loss": 0.1406,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.11,
|
405 |
+
"grad_norm": 0.7140035131215059,
|
406 |
+
"learning_rate": 9.816103043561648e-06,
|
407 |
+
"loss": 0.1422,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.12,
|
412 |
+
"grad_norm": 0.8616675617901599,
|
413 |
+
"learning_rate": 9.807299148046301e-06,
|
414 |
+
"loss": 0.1028,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.12,
|
419 |
+
"grad_norm": 0.7572015385538562,
|
420 |
+
"learning_rate": 9.798293547886748e-06,
|
421 |
+
"loss": 0.1306,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.12,
|
426 |
+
"grad_norm": 0.505293583960689,
|
427 |
+
"learning_rate": 9.789086620939936e-06,
|
428 |
+
"loss": 0.1091,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.12,
|
433 |
+
"grad_norm": 0.4393634667334124,
|
434 |
+
"learning_rate": 9.779678753510082e-06,
|
435 |
+
"loss": 0.1162,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.12,
|
440 |
+
"grad_norm": 1.0255563164443287,
|
441 |
+
"learning_rate": 9.770070340332457e-06,
|
442 |
+
"loss": 0.134,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.13,
|
447 |
+
"grad_norm": 0.6366914364146933,
|
448 |
+
"learning_rate": 9.76026178455684e-06,
|
449 |
+
"loss": 0.0967,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.13,
|
454 |
+
"grad_norm": 0.8055640228185079,
|
455 |
+
"learning_rate": 9.75025349773058e-06,
|
456 |
+
"loss": 0.1686,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.13,
|
461 |
+
"grad_norm": 0.6124730219998783,
|
462 |
+
"learning_rate": 9.740045899781353e-06,
|
463 |
+
"loss": 0.1231,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.13,
|
468 |
+
"grad_norm": 0.3953777914303892,
|
469 |
+
"learning_rate": 9.729639418999524e-06,
|
470 |
+
"loss": 0.1056,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.13,
|
475 |
+
"grad_norm": 0.5690459588115772,
|
476 |
+
"learning_rate": 9.719034492020183e-06,
|
477 |
+
"loss": 0.0993,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.14,
|
482 |
+
"grad_norm": 0.663681633150344,
|
483 |
+
"learning_rate": 9.708231563804828e-06,
|
484 |
+
"loss": 0.1537,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.14,
|
489 |
+
"grad_norm": 0.5078103691237422,
|
490 |
+
"learning_rate": 9.697231087622691e-06,
|
491 |
+
"loss": 0.0793,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.14,
|
496 |
+
"grad_norm": 0.5544023432875107,
|
497 |
+
"learning_rate": 9.68603352503172e-06,
|
498 |
+
"loss": 0.1162,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.14,
|
503 |
+
"grad_norm": 0.5887817014329297,
|
504 |
+
"learning_rate": 9.674639345859213e-06,
|
505 |
+
"loss": 0.157,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.14,
|
510 |
+
"grad_norm": 0.5573720967228267,
|
511 |
+
"learning_rate": 9.663049028182112e-06,
|
512 |
+
"loss": 0.1363,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.15,
|
517 |
+
"grad_norm": 0.5293879592609317,
|
518 |
+
"learning_rate": 9.651263058306932e-06,
|
519 |
+
"loss": 0.1177,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.15,
|
524 |
+
"grad_norm": 0.6349288469559691,
|
525 |
+
"learning_rate": 9.639281930749363e-06,
|
526 |
+
"loss": 0.1289,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.15,
|
531 |
+
"grad_norm": 1.5389342135849522,
|
532 |
+
"learning_rate": 9.627106148213521e-06,
|
533 |
+
"loss": 0.1335,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.15,
|
538 |
+
"grad_norm": 0.6030463446293332,
|
539 |
+
"learning_rate": 9.61473622157086e-06,
|
540 |
+
"loss": 0.1357,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.15,
|
545 |
+
"grad_norm": 0.845013424171041,
|
546 |
+
"learning_rate": 9.602172669838721e-06,
|
547 |
+
"loss": 0.1331,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.16,
|
552 |
+
"grad_norm": 0.6778027972809342,
|
553 |
+
"learning_rate": 9.589416020158577e-06,
|
554 |
+
"loss": 0.0741,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.16,
|
559 |
+
"grad_norm": 0.3897778551366759,
|
560 |
+
"learning_rate": 9.5764668077739e-06,
|
561 |
+
"loss": 0.093,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.16,
|
566 |
+
"grad_norm": 0.5717939081881331,
|
567 |
+
"learning_rate": 9.563325576007702e-06,
|
568 |
+
"loss": 0.0946,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.16,
|
573 |
+
"grad_norm": 0.39021049181588896,
|
574 |
+
"learning_rate": 9.549992876239753e-06,
|
575 |
+
"loss": 0.0824,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.16,
|
580 |
+
"grad_norm": 0.873387309542934,
|
581 |
+
"learning_rate": 9.536469267883432e-06,
|
582 |
+
"loss": 0.1242,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.17,
|
587 |
+
"grad_norm": 0.5796663877543419,
|
588 |
+
"learning_rate": 9.52275531836226e-06,
|
589 |
+
"loss": 0.1299,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.17,
|
594 |
+
"grad_norm": 0.54252944507829,
|
595 |
+
"learning_rate": 9.508851603086094e-06,
|
596 |
+
"loss": 0.1249,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.17,
|
601 |
+
"grad_norm": 1.372797578486964,
|
602 |
+
"learning_rate": 9.494758705426978e-06,
|
603 |
+
"loss": 0.1441,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.17,
|
608 |
+
"grad_norm": 0.5636216727890436,
|
609 |
+
"learning_rate": 9.480477216694674e-06,
|
610 |
+
"loss": 0.1091,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.17,
|
615 |
+
"grad_norm": 0.8752904523458626,
|
616 |
+
"learning_rate": 9.466007736111846e-06,
|
617 |
+
"loss": 0.1807,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.18,
|
622 |
+
"grad_norm": 0.6014787546432877,
|
623 |
+
"learning_rate": 9.451350870788922e-06,
|
624 |
+
"loss": 0.1026,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.18,
|
629 |
+
"grad_norm": 0.8350725506944692,
|
630 |
+
"learning_rate": 9.436507235698613e-06,
|
631 |
+
"loss": 0.1641,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.18,
|
636 |
+
"grad_norm": 1.0005403108385666,
|
637 |
+
"learning_rate": 9.421477453650118e-06,
|
638 |
+
"loss": 0.1163,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.18,
|
643 |
+
"grad_norm": 0.6716285942507424,
|
644 |
+
"learning_rate": 9.406262155262995e-06,
|
645 |
+
"loss": 0.138,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.18,
|
650 |
+
"grad_norm": 0.6438179692572337,
|
651 |
+
"learning_rate": 9.390861978940687e-06,
|
652 |
+
"loss": 0.1249,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.19,
|
657 |
+
"grad_norm": 0.6596989843894778,
|
658 |
+
"learning_rate": 9.37527757084375e-06,
|
659 |
+
"loss": 0.1037,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.19,
|
664 |
+
"grad_norm": 0.5493756528846595,
|
665 |
+
"learning_rate": 9.359509584862735e-06,
|
666 |
+
"loss": 0.1203,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.19,
|
671 |
+
"grad_norm": 0.6279119986783067,
|
672 |
+
"learning_rate": 9.343558682590757e-06,
|
673 |
+
"loss": 0.1399,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.19,
|
678 |
+
"grad_norm": 0.574686461780649,
|
679 |
+
"learning_rate": 9.327425533295725e-06,
|
680 |
+
"loss": 0.1416,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.19,
|
685 |
+
"grad_norm": 0.5928939130040762,
|
686 |
+
"learning_rate": 9.31111081389227e-06,
|
687 |
+
"loss": 0.1003,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.2,
|
692 |
+
"grad_norm": 0.8303152054811029,
|
693 |
+
"learning_rate": 9.29461520891335e-06,
|
694 |
+
"loss": 0.1095,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.2,
|
699 |
+
"grad_norm": 0.744634256418121,
|
700 |
+
"learning_rate": 9.277939410481507e-06,
|
701 |
+
"loss": 0.1125,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.2,
|
706 |
+
"grad_norm": 0.5926044414182606,
|
707 |
+
"learning_rate": 9.261084118279846e-06,
|
708 |
+
"loss": 0.1198,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.2,
|
713 |
+
"grad_norm": 0.589345092224048,
|
714 |
+
"learning_rate": 9.244050039522673e-06,
|
715 |
+
"loss": 0.1258,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.2,
|
720 |
+
"grad_norm": 0.4495956768162774,
|
721 |
+
"learning_rate": 9.226837888925813e-06,
|
722 |
+
"loss": 0.1405,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.21,
|
727 |
+
"grad_norm": 0.64920158414816,
|
728 |
+
"learning_rate": 9.209448388676636e-06,
|
729 |
+
"loss": 0.0981,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.21,
|
734 |
+
"grad_norm": 0.44865801609533834,
|
735 |
+
"learning_rate": 9.191882268403743e-06,
|
736 |
+
"loss": 0.093,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.21,
|
741 |
+
"grad_norm": 0.5304956297983962,
|
742 |
+
"learning_rate": 9.174140265146356e-06,
|
743 |
+
"loss": 0.134,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.21,
|
748 |
+
"grad_norm": 0.7762471405689545,
|
749 |
+
"learning_rate": 9.156223123323405e-06,
|
750 |
+
"loss": 0.1152,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.21,
|
755 |
+
"grad_norm": 0.5898727313393679,
|
756 |
+
"learning_rate": 9.13813159470227e-06,
|
757 |
+
"loss": 0.1283,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.22,
|
762 |
+
"grad_norm": 0.4616139402394573,
|
763 |
+
"learning_rate": 9.119866438367263e-06,
|
764 |
+
"loss": 0.0955,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.22,
|
769 |
+
"grad_norm": 0.4975289379033519,
|
770 |
+
"learning_rate": 9.101428420687759e-06,
|
771 |
+
"loss": 0.0832,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.22,
|
776 |
+
"grad_norm": 0.4265320746554224,
|
777 |
+
"learning_rate": 9.082818315286054e-06,
|
778 |
+
"loss": 0.081,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.22,
|
783 |
+
"grad_norm": 0.5862894990592699,
|
784 |
+
"learning_rate": 9.0640369030049e-06,
|
785 |
+
"loss": 0.1404,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.22,
|
790 |
+
"grad_norm": 0.5585869181490479,
|
791 |
+
"learning_rate": 9.045084971874738e-06,
|
792 |
+
"loss": 0.1175,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.23,
|
797 |
+
"grad_norm": 0.9547603316749469,
|
798 |
+
"learning_rate": 9.025963317080641e-06,
|
799 |
+
"loss": 0.1593,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.23,
|
804 |
+
"grad_norm": 0.4493417664599385,
|
805 |
+
"learning_rate": 9.006672740928952e-06,
|
806 |
+
"loss": 0.1034,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.23,
|
811 |
+
"grad_norm": 0.4508339845547332,
|
812 |
+
"learning_rate": 8.987214052813605e-06,
|
813 |
+
"loss": 0.0869,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.23,
|
818 |
+
"grad_norm": 0.47524415745527615,
|
819 |
+
"learning_rate": 8.967588069182184e-06,
|
820 |
+
"loss": 0.1193,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.23,
|
825 |
+
"grad_norm": 0.5773831975479189,
|
826 |
+
"learning_rate": 8.947795613501658e-06,
|
827 |
+
"loss": 0.1061,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.24,
|
832 |
+
"grad_norm": 1.697932596256695,
|
833 |
+
"learning_rate": 8.927837516223824e-06,
|
834 |
+
"loss": 0.0871,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.24,
|
839 |
+
"grad_norm": 1.1421056116230779,
|
840 |
+
"learning_rate": 8.907714614750473e-06,
|
841 |
+
"loss": 0.1202,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.24,
|
846 |
+
"grad_norm": 1.2641030779009608,
|
847 |
+
"learning_rate": 8.887427753398249e-06,
|
848 |
+
"loss": 0.1328,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.24,
|
853 |
+
"grad_norm": 0.6361326163766521,
|
854 |
+
"learning_rate": 8.866977783363219e-06,
|
855 |
+
"loss": 0.1359,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.24,
|
860 |
+
"grad_norm": 0.5093836960908875,
|
861 |
+
"learning_rate": 8.846365562685178e-06,
|
862 |
+
"loss": 0.1131,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.25,
|
867 |
+
"grad_norm": 0.6190698249115906,
|
868 |
+
"learning_rate": 8.825591956211614e-06,
|
869 |
+
"loss": 0.1556,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.25,
|
874 |
+
"grad_norm": 0.7541491658108361,
|
875 |
+
"learning_rate": 8.804657835561456e-06,
|
876 |
+
"loss": 0.1323,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.25,
|
881 |
+
"grad_norm": 0.647720482115624,
|
882 |
+
"learning_rate": 8.783564079088478e-06,
|
883 |
+
"loss": 0.0978,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.25,
|
888 |
+
"grad_norm": 0.669906338449493,
|
889 |
+
"learning_rate": 8.762311571844453e-06,
|
890 |
+
"loss": 0.1404,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.25,
|
895 |
+
"grad_norm": 0.9522809597720677,
|
896 |
+
"learning_rate": 8.74090120554202e-06,
|
897 |
+
"loss": 0.0856,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.26,
|
902 |
+
"grad_norm": 0.7776506061986043,
|
903 |
+
"learning_rate": 8.719333878517274e-06,
|
904 |
+
"loss": 0.1236,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.26,
|
909 |
+
"grad_norm": 0.4248528641074464,
|
910 |
+
"learning_rate": 8.697610495692055e-06,
|
911 |
+
"loss": 0.0934,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.26,
|
916 |
+
"grad_norm": 0.6747066450629217,
|
917 |
+
"learning_rate": 8.675731968536004e-06,
|
918 |
+
"loss": 0.1082,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.26,
|
923 |
+
"grad_norm": 0.5041768519333474,
|
924 |
+
"learning_rate": 8.653699215028298e-06,
|
925 |
+
"loss": 0.107,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.26,
|
930 |
+
"grad_norm": 0.8104039298114765,
|
931 |
+
"learning_rate": 8.63151315961915e-06,
|
932 |
+
"loss": 0.1251,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.27,
|
937 |
+
"grad_norm": 0.5705359883870549,
|
938 |
+
"learning_rate": 8.609174733191012e-06,
|
939 |
+
"loss": 0.1683,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.27,
|
944 |
+
"grad_norm": 0.5967376334947457,
|
945 |
+
"learning_rate": 8.586684873019513e-06,
|
946 |
+
"loss": 0.1194,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.27,
|
951 |
+
"grad_norm": 0.6584709702471544,
|
952 |
+
"learning_rate": 8.564044522734147e-06,
|
953 |
+
"loss": 0.1303,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.27,
|
958 |
+
"grad_norm": 0.4553899784083641,
|
959 |
+
"learning_rate": 8.541254632278667e-06,
|
960 |
+
"loss": 0.1015,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.27,
|
965 |
+
"grad_norm": 0.4542733986833433,
|
966 |
+
"learning_rate": 8.518316157871232e-06,
|
967 |
+
"loss": 0.1199,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.28,
|
972 |
+
"grad_norm": 0.36334886125035926,
|
973 |
+
"learning_rate": 8.495230061964289e-06,
|
974 |
+
"loss": 0.1212,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.28,
|
979 |
+
"grad_norm": 0.4907989038266779,
|
980 |
+
"learning_rate": 8.471997313204183e-06,
|
981 |
+
"loss": 0.1197,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.28,
|
986 |
+
"grad_norm": 0.672024265497057,
|
987 |
+
"learning_rate": 8.448618886390523e-06,
|
988 |
+
"loss": 0.1297,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.28,
|
993 |
+
"grad_norm": 0.39193548778136306,
|
994 |
+
"learning_rate": 8.425095762435274e-06,
|
995 |
+
"loss": 0.0973,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.28,
|
1000 |
+
"grad_norm": 0.4692220452901667,
|
1001 |
+
"learning_rate": 8.401428928321607e-06,
|
1002 |
+
"loss": 0.1107,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.29,
|
1007 |
+
"grad_norm": 1.6001012390203628,
|
1008 |
+
"learning_rate": 8.377619377062483e-06,
|
1009 |
+
"loss": 0.1499,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.29,
|
1014 |
+
"grad_norm": 0.41281023311178233,
|
1015 |
+
"learning_rate": 8.353668107658984e-06,
|
1016 |
+
"loss": 0.1132,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.29,
|
1021 |
+
"grad_norm": 1.4997548913764334,
|
1022 |
+
"learning_rate": 8.329576125058406e-06,
|
1023 |
+
"loss": 0.1393,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.29,
|
1028 |
+
"grad_norm": 0.9491246508670012,
|
1029 |
+
"learning_rate": 8.305344440112089e-06,
|
1030 |
+
"loss": 0.093,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.29,
|
1035 |
+
"grad_norm": 0.6368389591245665,
|
1036 |
+
"learning_rate": 8.280974069532999e-06,
|
1037 |
+
"loss": 0.1221,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.3,
|
1042 |
+
"grad_norm": 0.8801854448376024,
|
1043 |
+
"learning_rate": 8.256466035853077e-06,
|
1044 |
+
"loss": 0.1376,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.3,
|
1049 |
+
"grad_norm": 0.46974334183739896,
|
1050 |
+
"learning_rate": 8.231821367380335e-06,
|
1051 |
+
"loss": 0.0883,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.3,
|
1056 |
+
"grad_norm": 0.4563432085844253,
|
1057 |
+
"learning_rate": 8.207041098155701e-06,
|
1058 |
+
"loss": 0.0876,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.3,
|
1063 |
+
"grad_norm": 0.5143474212167232,
|
1064 |
+
"learning_rate": 8.182126267909642e-06,
|
1065 |
+
"loss": 0.0919,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.3,
|
1070 |
+
"grad_norm": 0.6064788787568761,
|
1071 |
+
"learning_rate": 8.157077922018537e-06,
|
1072 |
+
"loss": 0.1254,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.31,
|
1077 |
+
"grad_norm": 0.8717312999650924,
|
1078 |
+
"learning_rate": 8.13189711146081e-06,
|
1079 |
+
"loss": 0.1577,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.31,
|
1084 |
+
"grad_norm": 0.7624938303459425,
|
1085 |
+
"learning_rate": 8.106584892772844e-06,
|
1086 |
+
"loss": 0.1208,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.31,
|
1091 |
+
"grad_norm": 0.49154776786386456,
|
1092 |
+
"learning_rate": 8.081142328004638e-06,
|
1093 |
+
"loss": 0.1392,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.31,
|
1098 |
+
"grad_norm": 0.6282719321510984,
|
1099 |
+
"learning_rate": 8.055570484675252e-06,
|
1100 |
+
"loss": 0.1262,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.31,
|
1105 |
+
"grad_norm": 0.7673100285994615,
|
1106 |
+
"learning_rate": 8.029870435728018e-06,
|
1107 |
+
"loss": 0.1251,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.32,
|
1112 |
+
"grad_norm": 0.6854992028342847,
|
1113 |
+
"learning_rate": 8.004043259485519e-06,
|
1114 |
+
"loss": 0.1399,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.32,
|
1119 |
+
"grad_norm": 0.8294681941356243,
|
1120 |
+
"learning_rate": 7.978090039604342e-06,
|
1121 |
+
"loss": 0.1223,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.32,
|
1126 |
+
"grad_norm": 0.5036842237563715,
|
1127 |
+
"learning_rate": 7.952011865029614e-06,
|
1128 |
+
"loss": 0.1042,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.32,
|
1133 |
+
"grad_norm": 0.6473097444078603,
|
1134 |
+
"learning_rate": 7.925809829949312e-06,
|
1135 |
+
"loss": 0.1373,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.32,
|
1140 |
+
"grad_norm": 0.5425935965563373,
|
1141 |
+
"learning_rate": 7.89948503374835e-06,
|
1142 |
+
"loss": 0.1054,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.33,
|
1147 |
+
"grad_norm": 0.4622580056148776,
|
1148 |
+
"learning_rate": 7.873038580962453e-06,
|
1149 |
+
"loss": 0.1299,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.33,
|
1154 |
+
"grad_norm": 0.4647795187819019,
|
1155 |
+
"learning_rate": 7.846471581231814e-06,
|
1156 |
+
"loss": 0.1011,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.33,
|
1161 |
+
"grad_norm": 0.32064580771685813,
|
1162 |
+
"learning_rate": 7.819785149254534e-06,
|
1163 |
+
"loss": 0.0859,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.33,
|
1168 |
+
"grad_norm": 0.37761395521574226,
|
1169 |
+
"learning_rate": 7.792980404739849e-06,
|
1170 |
+
"loss": 0.0951,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.33,
|
1175 |
+
"grad_norm": 0.5879483997153534,
|
1176 |
+
"learning_rate": 7.766058472361154e-06,
|
1177 |
+
"loss": 0.1094,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.34,
|
1182 |
+
"grad_norm": 0.8113614809532544,
|
1183 |
+
"learning_rate": 7.739020481708816e-06,
|
1184 |
+
"loss": 0.1236,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.34,
|
1189 |
+
"grad_norm": 0.48352070058327146,
|
1190 |
+
"learning_rate": 7.711867567242769e-06,
|
1191 |
+
"loss": 0.1238,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.34,
|
1196 |
+
"grad_norm": 0.307579220599265,
|
1197 |
+
"learning_rate": 7.68460086824492e-06,
|
1198 |
+
"loss": 0.0789,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.34,
|
1203 |
+
"grad_norm": 0.3052462933757519,
|
1204 |
+
"learning_rate": 7.657221528771352e-06,
|
1205 |
+
"loss": 0.0826,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.34,
|
1210 |
+
"grad_norm": 0.4437060013882075,
|
1211 |
+
"learning_rate": 7.629730697604314e-06,
|
1212 |
+
"loss": 0.0956,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.35,
|
1217 |
+
"grad_norm": 0.5722033809772273,
|
1218 |
+
"learning_rate": 7.602129528204023e-06,
|
1219 |
+
"loss": 0.1377,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.35,
|
1224 |
+
"grad_norm": 0.7758402546865415,
|
1225 |
+
"learning_rate": 7.574419178660269e-06,
|
1226 |
+
"loss": 0.131,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.35,
|
1231 |
+
"grad_norm": 0.9501235850355042,
|
1232 |
+
"learning_rate": 7.546600811643816e-06,
|
1233 |
+
"loss": 0.1662,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.35,
|
1238 |
+
"grad_norm": 0.36934033674544414,
|
1239 |
+
"learning_rate": 7.5186755943576324e-06,
|
1240 |
+
"loss": 0.0929,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.35,
|
1245 |
+
"grad_norm": 0.5281959851316647,
|
1246 |
+
"learning_rate": 7.490644698487909e-06,
|
1247 |
+
"loss": 0.1002,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.36,
|
1252 |
+
"grad_norm": 0.34245725127334536,
|
1253 |
+
"learning_rate": 7.462509300154892e-06,
|
1254 |
+
"loss": 0.0887,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.36,
|
1259 |
+
"grad_norm": 0.4866946829432723,
|
1260 |
+
"learning_rate": 7.434270579863549e-06,
|
1261 |
+
"loss": 0.063,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.36,
|
1266 |
+
"grad_norm": 0.6814076859633514,
|
1267 |
+
"learning_rate": 7.405929722454026e-06,
|
1268 |
+
"loss": 0.0961,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.36,
|
1273 |
+
"grad_norm": 0.7302450675973802,
|
1274 |
+
"learning_rate": 7.3774879170519386e-06,
|
1275 |
+
"loss": 0.172,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.36,
|
1280 |
+
"grad_norm": 0.45339459954091,
|
1281 |
+
"learning_rate": 7.348946357018479e-06,
|
1282 |
+
"loss": 0.0925,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.37,
|
1287 |
+
"grad_norm": 0.4956461896960731,
|
1288 |
+
"learning_rate": 7.320306239900343e-06,
|
1289 |
+
"loss": 0.0903,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.37,
|
1294 |
+
"grad_norm": 0.6993675238341859,
|
1295 |
+
"learning_rate": 7.291568767379484e-06,
|
1296 |
+
"loss": 0.1453,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.37,
|
1301 |
+
"grad_norm": 0.5283639812348182,
|
1302 |
+
"learning_rate": 7.262735145222696e-06,
|
1303 |
+
"loss": 0.1097,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.37,
|
1308 |
+
"grad_norm": 0.7313507146714898,
|
1309 |
+
"learning_rate": 7.233806583231012e-06,
|
1310 |
+
"loss": 0.1371,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.37,
|
1315 |
+
"grad_norm": 0.4652143703796043,
|
1316 |
+
"learning_rate": 7.204784295188959e-06,
|
1317 |
+
"loss": 0.0934,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.38,
|
1322 |
+
"grad_norm": 0.8693530781527562,
|
1323 |
+
"learning_rate": 7.1756694988136165e-06,
|
1324 |
+
"loss": 0.1106,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.38,
|
1329 |
+
"grad_norm": 0.5993104635573092,
|
1330 |
+
"learning_rate": 7.14646341570353e-06,
|
1331 |
+
"loss": 0.1078,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.38,
|
1336 |
+
"grad_norm": 0.6311176939281898,
|
1337 |
+
"learning_rate": 7.117167271287453e-06,
|
1338 |
+
"loss": 0.1482,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.38,
|
1343 |
+
"grad_norm": 0.46632768555288145,
|
1344 |
+
"learning_rate": 7.0877822947729265e-06,
|
1345 |
+
"loss": 0.1217,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.38,
|
1350 |
+
"grad_norm": 0.380353772120599,
|
1351 |
+
"learning_rate": 7.05830971909472e-06,
|
1352 |
+
"loss": 0.1093,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.39,
|
1357 |
+
"grad_norm": 1.2314995066821384,
|
1358 |
+
"learning_rate": 7.028750780863078e-06,
|
1359 |
+
"loss": 0.1374,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.39,
|
1364 |
+
"grad_norm": 0.3359839639423677,
|
1365 |
+
"learning_rate": 6.999106720311846e-06,
|
1366 |
+
"loss": 0.0736,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.39,
|
1371 |
+
"grad_norm": 0.30797035180919163,
|
1372 |
+
"learning_rate": 6.969378781246436e-06,
|
1373 |
+
"loss": 0.059,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.39,
|
1378 |
+
"grad_norm": 0.3902264668766994,
|
1379 |
+
"learning_rate": 6.939568210991633e-06,
|
1380 |
+
"loss": 0.0803,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.39,
|
1385 |
+
"grad_norm": 0.4924002549898853,
|
1386 |
+
"learning_rate": 6.9096762603392595e-06,
|
1387 |
+
"loss": 0.1288,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.4,
|
1392 |
+
"grad_norm": 0.45893113202500546,
|
1393 |
+
"learning_rate": 6.8797041834956955e-06,
|
1394 |
+
"loss": 0.0421,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.4,
|
1399 |
+
"grad_norm": 0.3626386184662733,
|
1400 |
+
"learning_rate": 6.849653238029261e-06,
|
1401 |
+
"loss": 0.0868,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.4,
|
1406 |
+
"grad_norm": 0.6171909067196144,
|
1407 |
+
"learning_rate": 6.819524684817439e-06,
|
1408 |
+
"loss": 0.1303,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.4,
|
1413 |
+
"grad_norm": 0.49550909029618534,
|
1414 |
+
"learning_rate": 6.78931978799398e-06,
|
1415 |
+
"loss": 0.1094,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.4,
|
1420 |
+
"grad_norm": 0.44111730247487485,
|
1421 |
+
"learning_rate": 6.7590398148958625e-06,
|
1422 |
+
"loss": 0.1082,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.41,
|
1427 |
+
"grad_norm": 0.3945966419537577,
|
1428 |
+
"learning_rate": 6.728686036010115e-06,
|
1429 |
+
"loss": 0.1169,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.41,
|
1434 |
+
"grad_norm": 0.3837774645373548,
|
1435 |
+
"learning_rate": 6.698259724920503e-06,
|
1436 |
+
"loss": 0.076,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.41,
|
1441 |
+
"grad_norm": 0.451749688800484,
|
1442 |
+
"learning_rate": 6.667762158254104e-06,
|
1443 |
+
"loss": 0.1018,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.41,
|
1448 |
+
"grad_norm": 0.3504727281000213,
|
1449 |
+
"learning_rate": 6.637194615627733e-06,
|
1450 |
+
"loss": 0.0852,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.41,
|
1455 |
+
"grad_norm": 0.40554396216881844,
|
1456 |
+
"learning_rate": 6.6065583795942625e-06,
|
1457 |
+
"loss": 0.0954,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.42,
|
1462 |
+
"grad_norm": 0.5522740050815659,
|
1463 |
+
"learning_rate": 6.5758547355887944e-06,
|
1464 |
+
"loss": 0.0895,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.42,
|
1469 |
+
"grad_norm": 0.6968752850834635,
|
1470 |
+
"learning_rate": 6.545084971874738e-06,
|
1471 |
+
"loss": 0.1395,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.42,
|
1476 |
+
"grad_norm": 0.5882665903589881,
|
1477 |
+
"learning_rate": 6.514250379489754e-06,
|
1478 |
+
"loss": 0.1246,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.42,
|
1483 |
+
"grad_norm": 0.5672951512318772,
|
1484 |
+
"learning_rate": 6.483352252191585e-06,
|
1485 |
+
"loss": 0.1323,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.42,
|
1490 |
+
"grad_norm": 0.5661159807973724,
|
1491 |
+
"learning_rate": 6.452391886403767e-06,
|
1492 |
+
"loss": 0.1178,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.43,
|
1497 |
+
"grad_norm": 0.34353828911630974,
|
1498 |
+
"learning_rate": 6.421370581161244e-06,
|
1499 |
+
"loss": 0.1009,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.43,
|
1504 |
+
"grad_norm": 0.5407518626154225,
|
1505 |
+
"learning_rate": 6.390289638055851e-06,
|
1506 |
+
"loss": 0.137,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.43,
|
1511 |
+
"grad_norm": 0.372311277153281,
|
1512 |
+
"learning_rate": 6.3591503611817155e-06,
|
1513 |
+
"loss": 0.0926,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.43,
|
1518 |
+
"grad_norm": 0.5542289788795887,
|
1519 |
+
"learning_rate": 6.3279540570805265e-06,
|
1520 |
+
"loss": 0.1081,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.43,
|
1525 |
+
"grad_norm": 0.4976922442704691,
|
1526 |
+
"learning_rate": 6.296702034686726e-06,
|
1527 |
+
"loss": 0.0953,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.44,
|
1532 |
+
"grad_norm": 0.40534247934992484,
|
1533 |
+
"learning_rate": 6.265395605272581e-06,
|
1534 |
+
"loss": 0.1395,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.44,
|
1539 |
+
"grad_norm": 0.4097713453292996,
|
1540 |
+
"learning_rate": 6.234036082393171e-06,
|
1541 |
+
"loss": 0.1139,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.44,
|
1546 |
+
"grad_norm": 0.4799177841662269,
|
1547 |
+
"learning_rate": 6.202624781831269e-06,
|
1548 |
+
"loss": 0.0886,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.44,
|
1553 |
+
"grad_norm": 0.5460833433496859,
|
1554 |
+
"learning_rate": 6.171163021542134e-06,
|
1555 |
+
"loss": 0.1203,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.44,
|
1560 |
+
"grad_norm": 0.5522116184374418,
|
1561 |
+
"learning_rate": 6.139652121598219e-06,
|
1562 |
+
"loss": 0.1101,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.45,
|
1567 |
+
"grad_norm": 0.6140517613951189,
|
1568 |
+
"learning_rate": 6.108093404133772e-06,
|
1569 |
+
"loss": 0.1547,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.45,
|
1574 |
+
"grad_norm": 0.45193523540509095,
|
1575 |
+
"learning_rate": 6.076488193289375e-06,
|
1576 |
+
"loss": 0.0951,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.45,
|
1581 |
+
"grad_norm": 0.5965337969169188,
|
1582 |
+
"learning_rate": 6.044837815156377e-06,
|
1583 |
+
"loss": 0.1311,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.45,
|
1588 |
+
"grad_norm": 0.8953228703641515,
|
1589 |
+
"learning_rate": 6.013143597721252e-06,
|
1590 |
+
"loss": 0.1274,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.45,
|
1595 |
+
"grad_norm": 0.550454631947633,
|
1596 |
+
"learning_rate": 5.981406870809889e-06,
|
1597 |
+
"loss": 0.1343,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.46,
|
1602 |
+
"grad_norm": 0.5338311597923737,
|
1603 |
+
"learning_rate": 5.949628966031785e-06,
|
1604 |
+
"loss": 0.11,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.46,
|
1609 |
+
"grad_norm": 0.5420821295239983,
|
1610 |
+
"learning_rate": 5.9178112167241805e-06,
|
1611 |
+
"loss": 0.1356,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.46,
|
1616 |
+
"grad_norm": 0.5236703385396021,
|
1617 |
+
"learning_rate": 5.885954957896115e-06,
|
1618 |
+
"loss": 0.1505,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.46,
|
1623 |
+
"grad_norm": 0.4649375414577938,
|
1624 |
+
"learning_rate": 5.854061526172402e-06,
|
1625 |
+
"loss": 0.1118,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.46,
|
1630 |
+
"grad_norm": 0.9506605375806841,
|
1631 |
+
"learning_rate": 5.822132259737565e-06,
|
1632 |
+
"loss": 0.1487,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.47,
|
1637 |
+
"grad_norm": 0.5025233378993809,
|
1638 |
+
"learning_rate": 5.7901684982796716e-06,
|
1639 |
+
"loss": 0.101,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.47,
|
1644 |
+
"grad_norm": 0.45769338661823605,
|
1645 |
+
"learning_rate": 5.75817158293414e-06,
|
1646 |
+
"loss": 0.1268,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.47,
|
1651 |
+
"grad_norm": 0.4738441021558865,
|
1652 |
+
"learning_rate": 5.726142856227453e-06,
|
1653 |
+
"loss": 0.0938,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.47,
|
1658 |
+
"grad_norm": 0.41054890800736454,
|
1659 |
+
"learning_rate": 5.694083662020835e-06,
|
1660 |
+
"loss": 0.075,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.47,
|
1665 |
+
"grad_norm": 0.4638293745171702,
|
1666 |
+
"learning_rate": 5.661995345453867e-06,
|
1667 |
+
"loss": 0.0983,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.48,
|
1672 |
+
"grad_norm": 0.5020144058900003,
|
1673 |
+
"learning_rate": 5.629879252888046e-06,
|
1674 |
+
"loss": 0.1067,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.48,
|
1679 |
+
"grad_norm": 0.6010730833165813,
|
1680 |
+
"learning_rate": 5.597736731850295e-06,
|
1681 |
+
"loss": 0.1303,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.48,
|
1686 |
+
"grad_norm": 0.3522016094734147,
|
1687 |
+
"learning_rate": 5.5655691309764225e-06,
|
1688 |
+
"loss": 0.0908,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.48,
|
1693 |
+
"grad_norm": 0.5919017521737345,
|
1694 |
+
"learning_rate": 5.533377799954532e-06,
|
1695 |
+
"loss": 0.1136,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.48,
|
1700 |
+
"grad_norm": 0.5173116471794423,
|
1701 |
+
"learning_rate": 5.501164089468406e-06,
|
1702 |
+
"loss": 0.1322,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.49,
|
1707 |
+
"grad_norm": 0.5388813789870869,
|
1708 |
+
"learning_rate": 5.4689293511408155e-06,
|
1709 |
+
"loss": 0.1246,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.49,
|
1714 |
+
"grad_norm": 0.45654642602275797,
|
1715 |
+
"learning_rate": 5.43667493747682e-06,
|
1716 |
+
"loss": 0.1033,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.49,
|
1721 |
+
"grad_norm": 0.6132951284982724,
|
1722 |
+
"learning_rate": 5.404402201807022e-06,
|
1723 |
+
"loss": 0.1363,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.49,
|
1728 |
+
"grad_norm": 0.4102608347812018,
|
1729 |
+
"learning_rate": 5.372112498230771e-06,
|
1730 |
+
"loss": 0.1123,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.49,
|
1735 |
+
"grad_norm": 0.5181050047880049,
|
1736 |
+
"learning_rate": 5.339807181559359e-06,
|
1737 |
+
"loss": 0.1223,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.5,
|
1742 |
+
"grad_norm": 0.5210515357795024,
|
1743 |
+
"learning_rate": 5.307487607259175e-06,
|
1744 |
+
"loss": 0.0874,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.5,
|
1749 |
+
"grad_norm": 0.44620564412110364,
|
1750 |
+
"learning_rate": 5.275155131394825e-06,
|
1751 |
+
"loss": 0.078,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.5,
|
1756 |
+
"grad_norm": 0.39212059919163095,
|
1757 |
+
"learning_rate": 5.242811110572243e-06,
|
1758 |
+
"loss": 0.0882,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.5,
|
1763 |
+
"grad_norm": 0.46051329484229414,
|
1764 |
+
"learning_rate": 5.210456901881761e-06,
|
1765 |
+
"loss": 0.1141,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.5,
|
1770 |
+
"grad_norm": 0.43488813941628773,
|
1771 |
+
"learning_rate": 5.1780938628411795e-06,
|
1772 |
+
"loss": 0.0969,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.51,
|
1777 |
+
"grad_norm": 0.3930932390650295,
|
1778 |
+
"learning_rate": 5.145723351338799e-06,
|
1779 |
+
"loss": 0.0919,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.51,
|
1784 |
+
"grad_norm": 0.4133656343207384,
|
1785 |
+
"learning_rate": 5.11334672557645e-06,
|
1786 |
+
"loss": 0.1005,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.51,
|
1791 |
+
"grad_norm": 0.44362256572085595,
|
1792 |
+
"learning_rate": 5.080965344012509e-06,
|
1793 |
+
"loss": 0.1159,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.51,
|
1798 |
+
"grad_norm": 0.5489339948638737,
|
1799 |
+
"learning_rate": 5.048580565304887e-06,
|
1800 |
+
"loss": 0.1074,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.51,
|
1805 |
+
"grad_norm": 0.4168118459374411,
|
1806 |
+
"learning_rate": 5.016193748254045e-06,
|
1807 |
+
"loss": 0.0882,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.52,
|
1812 |
+
"grad_norm": 0.4391250559840595,
|
1813 |
+
"learning_rate": 4.983806251745958e-06,
|
1814 |
+
"loss": 0.1232,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.52,
|
1819 |
+
"grad_norm": 0.9289464765767339,
|
1820 |
+
"learning_rate": 4.951419434695115e-06,
|
1821 |
+
"loss": 0.1453,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.52,
|
1826 |
+
"grad_norm": 0.8668939729555174,
|
1827 |
+
"learning_rate": 4.919034655987493e-06,
|
1828 |
+
"loss": 0.1185,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.52,
|
1833 |
+
"grad_norm": 0.631274789168367,
|
1834 |
+
"learning_rate": 4.886653274423551e-06,
|
1835 |
+
"loss": 0.1354,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.52,
|
1840 |
+
"grad_norm": 0.49360834913385504,
|
1841 |
+
"learning_rate": 4.8542766486612035e-06,
|
1842 |
+
"loss": 0.1099,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.53,
|
1847 |
+
"grad_norm": 0.49736414112839294,
|
1848 |
+
"learning_rate": 4.821906137158822e-06,
|
1849 |
+
"loss": 0.1471,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.53,
|
1854 |
+
"grad_norm": 0.3905951742394158,
|
1855 |
+
"learning_rate": 4.7895430981182415e-06,
|
1856 |
+
"loss": 0.083,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.53,
|
1861 |
+
"grad_norm": 0.5205011969624558,
|
1862 |
+
"learning_rate": 4.757188889427761e-06,
|
1863 |
+
"loss": 0.1161,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.53,
|
1868 |
+
"grad_norm": 0.32771729503118857,
|
1869 |
+
"learning_rate": 4.724844868605176e-06,
|
1870 |
+
"loss": 0.0911,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.53,
|
1875 |
+
"grad_norm": 0.33594696910541266,
|
1876 |
+
"learning_rate": 4.6925123927408265e-06,
|
1877 |
+
"loss": 0.0674,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.54,
|
1882 |
+
"grad_norm": 0.3438942174508842,
|
1883 |
+
"learning_rate": 4.660192818440642e-06,
|
1884 |
+
"loss": 0.0967,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.54,
|
1889 |
+
"grad_norm": 0.43480873166148254,
|
1890 |
+
"learning_rate": 4.627887501769231e-06,
|
1891 |
+
"loss": 0.1269,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.54,
|
1896 |
+
"grad_norm": 0.4297920266270292,
|
1897 |
+
"learning_rate": 4.59559779819298e-06,
|
1898 |
+
"loss": 0.0905,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.54,
|
1903 |
+
"grad_norm": 0.4486852472418763,
|
1904 |
+
"learning_rate": 4.5633250625231806e-06,
|
1905 |
+
"loss": 0.128,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.54,
|
1910 |
+
"grad_norm": 0.5822438467001619,
|
1911 |
+
"learning_rate": 4.531070648859186e-06,
|
1912 |
+
"loss": 0.1121,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.55,
|
1917 |
+
"grad_norm": 0.4050734687784252,
|
1918 |
+
"learning_rate": 4.498835910531595e-06,
|
1919 |
+
"loss": 0.1029,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.55,
|
1924 |
+
"grad_norm": 0.5737463360637343,
|
1925 |
+
"learning_rate": 4.4666222000454685e-06,
|
1926 |
+
"loss": 0.1139,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.55,
|
1931 |
+
"grad_norm": 0.823054947023667,
|
1932 |
+
"learning_rate": 4.434430869023579e-06,
|
1933 |
+
"loss": 0.1402,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.55,
|
1938 |
+
"grad_norm": 0.4445981984272266,
|
1939 |
+
"learning_rate": 4.402263268149707e-06,
|
1940 |
+
"loss": 0.1091,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.55,
|
1945 |
+
"grad_norm": 0.39441608036981185,
|
1946 |
+
"learning_rate": 4.370120747111956e-06,
|
1947 |
+
"loss": 0.104,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.56,
|
1952 |
+
"grad_norm": 0.36168565396456787,
|
1953 |
+
"learning_rate": 4.338004654546136e-06,
|
1954 |
+
"loss": 0.074,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.56,
|
1959 |
+
"grad_norm": 0.4388764114995804,
|
1960 |
+
"learning_rate": 4.3059163379791676e-06,
|
1961 |
+
"loss": 0.1276,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.56,
|
1966 |
+
"grad_norm": 0.6445229540027669,
|
1967 |
+
"learning_rate": 4.27385714377255e-06,
|
1968 |
+
"loss": 0.1535,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.56,
|
1973 |
+
"grad_norm": 0.396872953907858,
|
1974 |
+
"learning_rate": 4.24182841706586e-06,
|
1975 |
+
"loss": 0.0652,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.56,
|
1980 |
+
"grad_norm": 0.37145594860347253,
|
1981 |
+
"learning_rate": 4.209831501720328e-06,
|
1982 |
+
"loss": 0.0852,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.57,
|
1987 |
+
"grad_norm": 0.398644318684909,
|
1988 |
+
"learning_rate": 4.177867740262437e-06,
|
1989 |
+
"loss": 0.1428,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.57,
|
1994 |
+
"grad_norm": 0.5249283308083765,
|
1995 |
+
"learning_rate": 4.145938473827598e-06,
|
1996 |
+
"loss": 0.0999,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.57,
|
2001 |
+
"grad_norm": 0.6596209256901557,
|
2002 |
+
"learning_rate": 4.1140450421038865e-06,
|
2003 |
+
"loss": 0.1258,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.57,
|
2008 |
+
"grad_norm": 0.45806459464760085,
|
2009 |
+
"learning_rate": 4.08218878327582e-06,
|
2010 |
+
"loss": 0.0928,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.57,
|
2015 |
+
"grad_norm": 0.5142127257187877,
|
2016 |
+
"learning_rate": 4.050371033968216e-06,
|
2017 |
+
"loss": 0.0948,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.58,
|
2022 |
+
"grad_norm": 0.5909032090575379,
|
2023 |
+
"learning_rate": 4.018593129190113e-06,
|
2024 |
+
"loss": 0.1291,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.58,
|
2029 |
+
"grad_norm": 0.4193073457818887,
|
2030 |
+
"learning_rate": 3.98685640227875e-06,
|
2031 |
+
"loss": 0.093,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.58,
|
2036 |
+
"grad_norm": 0.5717516521391793,
|
2037 |
+
"learning_rate": 3.955162184843625e-06,
|
2038 |
+
"loss": 0.0896,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.58,
|
2043 |
+
"grad_norm": 0.5015285770752144,
|
2044 |
+
"learning_rate": 3.9235118067106255e-06,
|
2045 |
+
"loss": 0.1289,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.58,
|
2050 |
+
"grad_norm": 0.7682977344403001,
|
2051 |
+
"learning_rate": 3.89190659586623e-06,
|
2052 |
+
"loss": 0.1079,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.59,
|
2057 |
+
"grad_norm": 0.8428528329835375,
|
2058 |
+
"learning_rate": 3.8603478784017845e-06,
|
2059 |
+
"loss": 0.1449,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.59,
|
2064 |
+
"grad_norm": 0.4375467459626297,
|
2065 |
+
"learning_rate": 3.828836978457868e-06,
|
2066 |
+
"loss": 0.1042,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.59,
|
2071 |
+
"grad_norm": 0.5484765703117677,
|
2072 |
+
"learning_rate": 3.7973752181687336e-06,
|
2073 |
+
"loss": 0.1316,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.59,
|
2078 |
+
"grad_norm": 0.4447109885856044,
|
2079 |
+
"learning_rate": 3.7659639176068287e-06,
|
2080 |
+
"loss": 0.1002,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.59,
|
2085 |
+
"grad_norm": 0.591068651394467,
|
2086 |
+
"learning_rate": 3.734604394727419e-06,
|
2087 |
+
"loss": 0.1198,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.6,
|
2092 |
+
"grad_norm": 0.5011976834408337,
|
2093 |
+
"learning_rate": 3.703297965313275e-06,
|
2094 |
+
"loss": 0.0882,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.6,
|
2099 |
+
"grad_norm": 0.44482097536408105,
|
2100 |
+
"learning_rate": 3.6720459429194743e-06,
|
2101 |
+
"loss": 0.1019,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.6,
|
2106 |
+
"grad_norm": 0.9176989963107355,
|
2107 |
+
"learning_rate": 3.6408496388182857e-06,
|
2108 |
+
"loss": 0.1691,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.6,
|
2113 |
+
"grad_norm": 0.6875161477903405,
|
2114 |
+
"learning_rate": 3.6097103619441505e-06,
|
2115 |
+
"loss": 0.1277,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.6,
|
2120 |
+
"grad_norm": 0.44943767486166497,
|
2121 |
+
"learning_rate": 3.578629418838757e-06,
|
2122 |
+
"loss": 0.1393,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.61,
|
2127 |
+
"grad_norm": 0.5447702492267633,
|
2128 |
+
"learning_rate": 3.5476081135962335e-06,
|
2129 |
+
"loss": 0.119,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.61,
|
2134 |
+
"grad_norm": 0.6759900156157556,
|
2135 |
+
"learning_rate": 3.516647747808417e-06,
|
2136 |
+
"loss": 0.1362,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.61,
|
2141 |
+
"grad_norm": 0.4825645771030931,
|
2142 |
+
"learning_rate": 3.4857496205102475e-06,
|
2143 |
+
"loss": 0.1266,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.61,
|
2148 |
+
"grad_norm": 0.5422813674696508,
|
2149 |
+
"learning_rate": 3.4549150281252635e-06,
|
2150 |
+
"loss": 0.1163,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.61,
|
2155 |
+
"grad_norm": 0.5062407593658172,
|
2156 |
+
"learning_rate": 3.4241452644112085e-06,
|
2157 |
+
"loss": 0.1128,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.62,
|
2162 |
+
"grad_norm": 0.555315224383365,
|
2163 |
+
"learning_rate": 3.3934416204057396e-06,
|
2164 |
+
"loss": 0.1282,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.62,
|
2169 |
+
"grad_norm": 0.6097420128434671,
|
2170 |
+
"learning_rate": 3.3628053843722674e-06,
|
2171 |
+
"loss": 0.1496,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.62,
|
2176 |
+
"grad_norm": 0.5400763462235032,
|
2177 |
+
"learning_rate": 3.3322378417458985e-06,
|
2178 |
+
"loss": 0.1175,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.62,
|
2183 |
+
"grad_norm": 0.5071327713034236,
|
2184 |
+
"learning_rate": 3.3017402750794976e-06,
|
2185 |
+
"loss": 0.0942,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.62,
|
2190 |
+
"grad_norm": 0.7040411771901197,
|
2191 |
+
"learning_rate": 3.271313963989886e-06,
|
2192 |
+
"loss": 0.1228,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.63,
|
2197 |
+
"grad_norm": 0.5394499701515973,
|
2198 |
+
"learning_rate": 3.240960185104137e-06,
|
2199 |
+
"loss": 0.1283,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.63,
|
2204 |
+
"grad_norm": 0.4069753524588952,
|
2205 |
+
"learning_rate": 3.2106802120060197e-06,
|
2206 |
+
"loss": 0.0953,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.63,
|
2211 |
+
"grad_norm": 0.43238651655204363,
|
2212 |
+
"learning_rate": 3.180475315182563e-06,
|
2213 |
+
"loss": 0.105,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.63,
|
2218 |
+
"grad_norm": 0.6125882579505277,
|
2219 |
+
"learning_rate": 3.1503467619707407e-06,
|
2220 |
+
"loss": 0.1185,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.63,
|
2225 |
+
"grad_norm": 0.3113829588086021,
|
2226 |
+
"learning_rate": 3.1202958165043053e-06,
|
2227 |
+
"loss": 0.1004,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.64,
|
2232 |
+
"grad_norm": 0.38868095199448227,
|
2233 |
+
"learning_rate": 3.090323739660742e-06,
|
2234 |
+
"loss": 0.1018,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.64,
|
2239 |
+
"grad_norm": 0.37965432285638184,
|
2240 |
+
"learning_rate": 3.060431789008368e-06,
|
2241 |
+
"loss": 0.0881,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.64,
|
2246 |
+
"grad_norm": 0.341947917294632,
|
2247 |
+
"learning_rate": 3.0306212187535653e-06,
|
2248 |
+
"loss": 0.0659,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.64,
|
2253 |
+
"grad_norm": 0.504882951287714,
|
2254 |
+
"learning_rate": 3.000893279688155e-06,
|
2255 |
+
"loss": 0.1127,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.64,
|
2260 |
+
"grad_norm": 1.0372711232468814,
|
2261 |
+
"learning_rate": 2.9712492191369245e-06,
|
2262 |
+
"loss": 0.1296,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.65,
|
2267 |
+
"grad_norm": 0.4063780308625291,
|
2268 |
+
"learning_rate": 2.9416902809052817e-06,
|
2269 |
+
"loss": 0.0989,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.65,
|
2274 |
+
"grad_norm": 0.6151994077206249,
|
2275 |
+
"learning_rate": 2.912217705227075e-06,
|
2276 |
+
"loss": 0.1311,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.65,
|
2281 |
+
"grad_norm": 0.29560996812170726,
|
2282 |
+
"learning_rate": 2.882832728712551e-06,
|
2283 |
+
"loss": 0.0826,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.65,
|
2288 |
+
"grad_norm": 0.5419617814807206,
|
2289 |
+
"learning_rate": 2.8535365842964713e-06,
|
2290 |
+
"loss": 0.1031,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.65,
|
2295 |
+
"grad_norm": 0.316750361009068,
|
2296 |
+
"learning_rate": 2.8243305011863843e-06,
|
2297 |
+
"loss": 0.0859,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.66,
|
2302 |
+
"grad_norm": 0.40660047128924554,
|
2303 |
+
"learning_rate": 2.7952157048110406e-06,
|
2304 |
+
"loss": 0.0972,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.66,
|
2309 |
+
"grad_norm": 0.5248390219888603,
|
2310 |
+
"learning_rate": 2.7661934167689887e-06,
|
2311 |
+
"loss": 0.0973,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.66,
|
2316 |
+
"grad_norm": 0.5506120889804264,
|
2317 |
+
"learning_rate": 2.7372648547773063e-06,
|
2318 |
+
"loss": 0.1358,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.66,
|
2323 |
+
"grad_norm": 0.2933868543958218,
|
2324 |
+
"learning_rate": 2.7084312326205164e-06,
|
2325 |
+
"loss": 0.0665,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.66,
|
2330 |
+
"grad_norm": 0.4260265900817017,
|
2331 |
+
"learning_rate": 2.6796937600996587e-06,
|
2332 |
+
"loss": 0.099,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.67,
|
2337 |
+
"grad_norm": 0.5916472972429531,
|
2338 |
+
"learning_rate": 2.6510536429815224e-06,
|
2339 |
+
"loss": 0.1056,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.67,
|
2344 |
+
"grad_norm": 0.25821980859434696,
|
2345 |
+
"learning_rate": 2.622512082948063e-06,
|
2346 |
+
"loss": 0.0826,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.67,
|
2351 |
+
"grad_norm": 0.7602239496400257,
|
2352 |
+
"learning_rate": 2.594070277545975e-06,
|
2353 |
+
"loss": 0.1029,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.67,
|
2358 |
+
"grad_norm": 1.3482619390273165,
|
2359 |
+
"learning_rate": 2.5657294201364526e-06,
|
2360 |
+
"loss": 0.1061,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.67,
|
2365 |
+
"grad_norm": 0.5292694632995797,
|
2366 |
+
"learning_rate": 2.5374906998451094e-06,
|
2367 |
+
"loss": 0.1103,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.68,
|
2372 |
+
"grad_norm": 0.401776484530573,
|
2373 |
+
"learning_rate": 2.5093553015120937e-06,
|
2374 |
+
"loss": 0.1111,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.68,
|
2379 |
+
"grad_norm": 0.33983736912957585,
|
2380 |
+
"learning_rate": 2.4813244056423692e-06,
|
2381 |
+
"loss": 0.1071,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.68,
|
2386 |
+
"grad_norm": 0.3968757148636326,
|
2387 |
+
"learning_rate": 2.4533991883561868e-06,
|
2388 |
+
"loss": 0.0849,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.68,
|
2393 |
+
"grad_norm": 0.37654025683974474,
|
2394 |
+
"learning_rate": 2.425580821339733e-06,
|
2395 |
+
"loss": 0.0699,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.68,
|
2400 |
+
"grad_norm": 0.5455989773257783,
|
2401 |
+
"learning_rate": 2.3978704717959777e-06,
|
2402 |
+
"loss": 0.1098,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.69,
|
2407 |
+
"grad_norm": 0.8441196898407628,
|
2408 |
+
"learning_rate": 2.3702693023956853e-06,
|
2409 |
+
"loss": 0.1029,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.69,
|
2414 |
+
"grad_norm": 0.29473291180255373,
|
2415 |
+
"learning_rate": 2.342778471228648e-06,
|
2416 |
+
"loss": 0.0727,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.69,
|
2421 |
+
"grad_norm": 0.43235629673761533,
|
2422 |
+
"learning_rate": 2.315399131755081e-06,
|
2423 |
+
"loss": 0.0923,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.69,
|
2428 |
+
"grad_norm": 0.548592005518116,
|
2429 |
+
"learning_rate": 2.2881324327572336e-06,
|
2430 |
+
"loss": 0.1064,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.69,
|
2435 |
+
"grad_norm": 0.3939095895213877,
|
2436 |
+
"learning_rate": 2.260979518291186e-06,
|
2437 |
+
"loss": 0.1241,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.7,
|
2442 |
+
"grad_norm": 0.5355357896800356,
|
2443 |
+
"learning_rate": 2.233941527638848e-06,
|
2444 |
+
"loss": 0.097,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.7,
|
2449 |
+
"grad_norm": 0.365611233084578,
|
2450 |
+
"learning_rate": 2.207019595260154e-06,
|
2451 |
+
"loss": 0.0714,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.7,
|
2456 |
+
"grad_norm": 0.4437291777264929,
|
2457 |
+
"learning_rate": 2.1802148507454675e-06,
|
2458 |
+
"loss": 0.0822,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.7,
|
2463 |
+
"grad_norm": 0.35830740856943316,
|
2464 |
+
"learning_rate": 2.1535284187681866e-06,
|
2465 |
+
"loss": 0.1037,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.7,
|
2470 |
+
"grad_norm": 0.4336882635339312,
|
2471 |
+
"learning_rate": 2.1269614190375477e-06,
|
2472 |
+
"loss": 0.1174,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.71,
|
2477 |
+
"grad_norm": 0.6147280719205123,
|
2478 |
+
"learning_rate": 2.1005149662516517e-06,
|
2479 |
+
"loss": 0.1189,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.71,
|
2484 |
+
"grad_norm": 0.32907167628090606,
|
2485 |
+
"learning_rate": 2.07419017005069e-06,
|
2486 |
+
"loss": 0.0879,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.71,
|
2491 |
+
"grad_norm": 0.8879531426795192,
|
2492 |
+
"learning_rate": 2.0479881349703885e-06,
|
2493 |
+
"loss": 0.1018,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.71,
|
2498 |
+
"grad_norm": 0.5784069701162355,
|
2499 |
+
"learning_rate": 2.021909960395661e-06,
|
2500 |
+
"loss": 0.0901,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.71,
|
2505 |
+
"grad_norm": 0.4249807188430985,
|
2506 |
+
"learning_rate": 1.9959567405144825e-06,
|
2507 |
+
"loss": 0.1063,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.72,
|
2512 |
+
"grad_norm": 0.3740373486479186,
|
2513 |
+
"learning_rate": 1.9701295642719836e-06,
|
2514 |
+
"loss": 0.1055,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.72,
|
2519 |
+
"grad_norm": 0.31615505418225187,
|
2520 |
+
"learning_rate": 1.944429515324749e-06,
|
2521 |
+
"loss": 0.0829,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.72,
|
2526 |
+
"grad_norm": 0.5605789927457013,
|
2527 |
+
"learning_rate": 1.9188576719953635e-06,
|
2528 |
+
"loss": 0.1123,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.72,
|
2533 |
+
"grad_norm": 0.5206679107603537,
|
2534 |
+
"learning_rate": 1.8934151072271573e-06,
|
2535 |
+
"loss": 0.1262,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.72,
|
2540 |
+
"grad_norm": 0.32252663000252463,
|
2541 |
+
"learning_rate": 1.8681028885391905e-06,
|
2542 |
+
"loss": 0.079,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.73,
|
2547 |
+
"grad_norm": 0.3906364665455239,
|
2548 |
+
"learning_rate": 1.8429220779814654e-06,
|
2549 |
+
"loss": 0.0948,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.73,
|
2554 |
+
"grad_norm": 0.5027709696697109,
|
2555 |
+
"learning_rate": 1.81787373209036e-06,
|
2556 |
+
"loss": 0.1021,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.73,
|
2561 |
+
"grad_norm": 0.3881070547527581,
|
2562 |
+
"learning_rate": 1.7929589018443016e-06,
|
2563 |
+
"loss": 0.0989,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.73,
|
2568 |
+
"grad_norm": 0.3263559332241793,
|
2569 |
+
"learning_rate": 1.7681786326196665e-06,
|
2570 |
+
"loss": 0.0906,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.73,
|
2575 |
+
"grad_norm": 0.517125971430259,
|
2576 |
+
"learning_rate": 1.743533964146924e-06,
|
2577 |
+
"loss": 0.1249,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.74,
|
2582 |
+
"grad_norm": 0.5577417175120104,
|
2583 |
+
"learning_rate": 1.7190259304670038e-06,
|
2584 |
+
"loss": 0.1146,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.74,
|
2589 |
+
"grad_norm": 0.46739077120404987,
|
2590 |
+
"learning_rate": 1.6946555598879138e-06,
|
2591 |
+
"loss": 0.0787,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.74,
|
2596 |
+
"grad_norm": 0.6368184328794871,
|
2597 |
+
"learning_rate": 1.6704238749415958e-06,
|
2598 |
+
"loss": 0.139,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.74,
|
2603 |
+
"grad_norm": 0.4863805471570208,
|
2604 |
+
"learning_rate": 1.6463318923410183e-06,
|
2605 |
+
"loss": 0.0989,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.74,
|
2610 |
+
"grad_norm": 0.5526864350993652,
|
2611 |
+
"learning_rate": 1.6223806229375182e-06,
|
2612 |
+
"loss": 0.1006,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.75,
|
2617 |
+
"grad_norm": 0.5042906795268511,
|
2618 |
+
"learning_rate": 1.5985710716783936e-06,
|
2619 |
+
"loss": 0.1254,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.75,
|
2624 |
+
"grad_norm": 0.5353859229799947,
|
2625 |
+
"learning_rate": 1.5749042375647261e-06,
|
2626 |
+
"loss": 0.129,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.75,
|
2631 |
+
"grad_norm": 0.4983834015528933,
|
2632 |
+
"learning_rate": 1.5513811136094786e-06,
|
2633 |
+
"loss": 0.1219,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.75,
|
2638 |
+
"grad_norm": 0.5736151839186128,
|
2639 |
+
"learning_rate": 1.5280026867958186e-06,
|
2640 |
+
"loss": 0.1052,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.75,
|
2645 |
+
"grad_norm": 0.4145349105653863,
|
2646 |
+
"learning_rate": 1.5047699380357134e-06,
|
2647 |
+
"loss": 0.105,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.76,
|
2652 |
+
"grad_norm": 0.522159341623551,
|
2653 |
+
"learning_rate": 1.4816838421287693e-06,
|
2654 |
+
"loss": 0.118,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.76,
|
2659 |
+
"grad_norm": 0.6741011384826143,
|
2660 |
+
"learning_rate": 1.4587453677213348e-06,
|
2661 |
+
"loss": 0.104,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.76,
|
2666 |
+
"grad_norm": 0.29249772565206017,
|
2667 |
+
"learning_rate": 1.4359554772658551e-06,
|
2668 |
+
"loss": 0.0859,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.76,
|
2673 |
+
"grad_norm": 0.40320752444193486,
|
2674 |
+
"learning_rate": 1.4133151269804873e-06,
|
2675 |
+
"loss": 0.081,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.76,
|
2680 |
+
"grad_norm": 0.3654144538640725,
|
2681 |
+
"learning_rate": 1.39082526680899e-06,
|
2682 |
+
"loss": 0.0904,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.77,
|
2687 |
+
"grad_norm": 0.37328450594396817,
|
2688 |
+
"learning_rate": 1.368486840380851e-06,
|
2689 |
+
"loss": 0.0959,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.77,
|
2694 |
+
"grad_norm": 0.3624280021978568,
|
2695 |
+
"learning_rate": 1.3463007849717035e-06,
|
2696 |
+
"loss": 0.0912,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.77,
|
2701 |
+
"grad_norm": 0.3236625582206281,
|
2702 |
+
"learning_rate": 1.3242680314639995e-06,
|
2703 |
+
"loss": 0.0815,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.77,
|
2708 |
+
"grad_norm": 0.50101809950523,
|
2709 |
+
"learning_rate": 1.3023895043079476e-06,
|
2710 |
+
"loss": 0.1347,
|
2711 |
+
"step": 386
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.77,
|
2715 |
+
"grad_norm": 0.41434448545848973,
|
2716 |
+
"learning_rate": 1.2806661214827286e-06,
|
2717 |
+
"loss": 0.0958,
|
2718 |
+
"step": 387
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.78,
|
2722 |
+
"grad_norm": 0.3791029114401193,
|
2723 |
+
"learning_rate": 1.2590987944579808e-06,
|
2724 |
+
"loss": 0.0849,
|
2725 |
+
"step": 388
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.78,
|
2729 |
+
"grad_norm": 0.4282672022245668,
|
2730 |
+
"learning_rate": 1.2376884281555485e-06,
|
2731 |
+
"loss": 0.1232,
|
2732 |
+
"step": 389
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.78,
|
2736 |
+
"grad_norm": 0.30876155687450046,
|
2737 |
+
"learning_rate": 1.2164359209115235e-06,
|
2738 |
+
"loss": 0.0811,
|
2739 |
+
"step": 390
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.78,
|
2743 |
+
"grad_norm": 0.5364966222557211,
|
2744 |
+
"learning_rate": 1.1953421644385444e-06,
|
2745 |
+
"loss": 0.1204,
|
2746 |
+
"step": 391
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.78,
|
2750 |
+
"grad_norm": 0.506862615722067,
|
2751 |
+
"learning_rate": 1.1744080437883859e-06,
|
2752 |
+
"loss": 0.1185,
|
2753 |
+
"step": 392
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.79,
|
2757 |
+
"grad_norm": 0.6111776038474351,
|
2758 |
+
"learning_rate": 1.1536344373148245e-06,
|
2759 |
+
"loss": 0.1482,
|
2760 |
+
"step": 393
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.79,
|
2764 |
+
"grad_norm": 0.48878771363180995,
|
2765 |
+
"learning_rate": 1.133022216636781e-06,
|
2766 |
+
"loss": 0.105,
|
2767 |
+
"step": 394
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.79,
|
2771 |
+
"grad_norm": 0.5675616899138232,
|
2772 |
+
"learning_rate": 1.1125722466017547e-06,
|
2773 |
+
"loss": 0.1113,
|
2774 |
+
"step": 395
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.79,
|
2778 |
+
"grad_norm": 0.39125507848543734,
|
2779 |
+
"learning_rate": 1.092285385249528e-06,
|
2780 |
+
"loss": 0.107,
|
2781 |
+
"step": 396
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.79,
|
2785 |
+
"grad_norm": 0.5831199696940993,
|
2786 |
+
"learning_rate": 1.0721624837761768e-06,
|
2787 |
+
"loss": 0.1293,
|
2788 |
+
"step": 397
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.8,
|
2792 |
+
"grad_norm": 0.4427813558577841,
|
2793 |
+
"learning_rate": 1.0522043864983428e-06,
|
2794 |
+
"loss": 0.0956,
|
2795 |
+
"step": 398
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.8,
|
2799 |
+
"grad_norm": 0.4969064755719846,
|
2800 |
+
"learning_rate": 1.0324119308178166e-06,
|
2801 |
+
"loss": 0.1219,
|
2802 |
+
"step": 399
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.8,
|
2806 |
+
"grad_norm": 0.4177562502737496,
|
2807 |
+
"learning_rate": 1.012785947186397e-06,
|
2808 |
+
"loss": 0.1166,
|
2809 |
+
"step": 400
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.8,
|
2813 |
+
"grad_norm": 0.3176953906595869,
|
2814 |
+
"learning_rate": 9.933272590710508e-07,
|
2815 |
+
"loss": 0.1044,
|
2816 |
+
"step": 401
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.8,
|
2820 |
+
"grad_norm": 0.4819481702011284,
|
2821 |
+
"learning_rate": 9.740366829193587e-07,
|
2822 |
+
"loss": 0.1051,
|
2823 |
+
"step": 402
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.81,
|
2827 |
+
"grad_norm": 0.40623333375228615,
|
2828 |
+
"learning_rate": 9.549150281252633e-07,
|
2829 |
+
"loss": 0.1169,
|
2830 |
+
"step": 403
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.81,
|
2834 |
+
"grad_norm": 0.35662447694983246,
|
2835 |
+
"learning_rate": 9.359630969951012e-07,
|
2836 |
+
"loss": 0.0933,
|
2837 |
+
"step": 404
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.81,
|
2841 |
+
"grad_norm": 0.5222883713638226,
|
2842 |
+
"learning_rate": 9.171816847139447e-07,
|
2843 |
+
"loss": 0.1112,
|
2844 |
+
"step": 405
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.81,
|
2848 |
+
"grad_norm": 0.2509639357115803,
|
2849 |
+
"learning_rate": 8.985715793122407e-07,
|
2850 |
+
"loss": 0.0599,
|
2851 |
+
"step": 406
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.81,
|
2855 |
+
"grad_norm": 0.3369713146112169,
|
2856 |
+
"learning_rate": 8.801335616327378e-07,
|
2857 |
+
"loss": 0.0823,
|
2858 |
+
"step": 407
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.82,
|
2862 |
+
"grad_norm": 0.4162725251423473,
|
2863 |
+
"learning_rate": 8.618684052977305e-07,
|
2864 |
+
"loss": 0.0843,
|
2865 |
+
"step": 408
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.82,
|
2869 |
+
"grad_norm": 0.637854600697931,
|
2870 |
+
"learning_rate": 8.437768766765975e-07,
|
2871 |
+
"loss": 0.1226,
|
2872 |
+
"step": 409
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.82,
|
2876 |
+
"grad_norm": 0.4974824638764937,
|
2877 |
+
"learning_rate": 8.258597348536452e-07,
|
2878 |
+
"loss": 0.12,
|
2879 |
+
"step": 410
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.82,
|
2883 |
+
"grad_norm": 0.4347267962714552,
|
2884 |
+
"learning_rate": 8.081177315962601e-07,
|
2885 |
+
"loss": 0.0779,
|
2886 |
+
"step": 411
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.82,
|
2890 |
+
"grad_norm": 0.6868660701065765,
|
2891 |
+
"learning_rate": 7.905516113233652e-07,
|
2892 |
+
"loss": 0.1269,
|
2893 |
+
"step": 412
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.83,
|
2897 |
+
"grad_norm": 0.4881107761558822,
|
2898 |
+
"learning_rate": 7.731621110741871e-07,
|
2899 |
+
"loss": 0.1115,
|
2900 |
+
"step": 413
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.83,
|
2904 |
+
"grad_norm": 0.657770227545186,
|
2905 |
+
"learning_rate": 7.55949960477328e-07,
|
2906 |
+
"loss": 0.1442,
|
2907 |
+
"step": 414
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.83,
|
2911 |
+
"grad_norm": 0.5169494480097382,
|
2912 |
+
"learning_rate": 7.389158817201541e-07,
|
2913 |
+
"loss": 0.135,
|
2914 |
+
"step": 415
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.83,
|
2918 |
+
"grad_norm": 0.3181907269339257,
|
2919 |
+
"learning_rate": 7.220605895184946e-07,
|
2920 |
+
"loss": 0.0939,
|
2921 |
+
"step": 416
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.83,
|
2925 |
+
"grad_norm": 0.32087685372237856,
|
2926 |
+
"learning_rate": 7.053847910866513e-07,
|
2927 |
+
"loss": 0.0798,
|
2928 |
+
"step": 417
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.84,
|
2932 |
+
"grad_norm": 0.6806284443573277,
|
2933 |
+
"learning_rate": 6.888891861077301e-07,
|
2934 |
+
"loss": 0.1217,
|
2935 |
+
"step": 418
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.84,
|
2939 |
+
"grad_norm": 0.46920132014349863,
|
2940 |
+
"learning_rate": 6.725744667042778e-07,
|
2941 |
+
"loss": 0.1143,
|
2942 |
+
"step": 419
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.84,
|
2946 |
+
"grad_norm": 0.6856407917775545,
|
2947 |
+
"learning_rate": 6.564413174092443e-07,
|
2948 |
+
"loss": 0.0958,
|
2949 |
+
"step": 420
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.84,
|
2953 |
+
"grad_norm": 0.24069693097745018,
|
2954 |
+
"learning_rate": 6.404904151372649e-07,
|
2955 |
+
"loss": 0.0593,
|
2956 |
+
"step": 421
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.84,
|
2960 |
+
"grad_norm": 0.5917433333017736,
|
2961 |
+
"learning_rate": 6.24722429156251e-07,
|
2962 |
+
"loss": 0.1096,
|
2963 |
+
"step": 422
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.85,
|
2967 |
+
"grad_norm": 1.1939796988122542,
|
2968 |
+
"learning_rate": 6.091380210593145e-07,
|
2969 |
+
"loss": 0.1099,
|
2970 |
+
"step": 423
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.85,
|
2974 |
+
"grad_norm": 0.596655388965177,
|
2975 |
+
"learning_rate": 5.937378447370068e-07,
|
2976 |
+
"loss": 0.1432,
|
2977 |
+
"step": 424
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.85,
|
2981 |
+
"grad_norm": 0.57879182871043,
|
2982 |
+
"learning_rate": 5.785225463498828e-07,
|
2983 |
+
"loss": 0.1327,
|
2984 |
+
"step": 425
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.85,
|
2988 |
+
"grad_norm": 0.5509040715614761,
|
2989 |
+
"learning_rate": 5.634927643013899e-07,
|
2990 |
+
"loss": 0.1241,
|
2991 |
+
"step": 426
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.85,
|
2995 |
+
"grad_norm": 0.7213197759630112,
|
2996 |
+
"learning_rate": 5.486491292110796e-07,
|
2997 |
+
"loss": 0.1698,
|
2998 |
+
"step": 427
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.86,
|
3002 |
+
"grad_norm": 0.49287307205694036,
|
3003 |
+
"learning_rate": 5.339922638881545e-07,
|
3004 |
+
"loss": 0.1386,
|
3005 |
+
"step": 428
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.86,
|
3009 |
+
"grad_norm": 0.3928406434495986,
|
3010 |
+
"learning_rate": 5.195227833053273e-07,
|
3011 |
+
"loss": 0.1031,
|
3012 |
+
"step": 429
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.86,
|
3016 |
+
"grad_norm": 0.372866049328715,
|
3017 |
+
"learning_rate": 5.05241294573024e-07,
|
3018 |
+
"loss": 0.0954,
|
3019 |
+
"step": 430
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.86,
|
3023 |
+
"grad_norm": 0.45727956067448033,
|
3024 |
+
"learning_rate": 4.911483969139086e-07,
|
3025 |
+
"loss": 0.1108,
|
3026 |
+
"step": 431
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.86,
|
3030 |
+
"grad_norm": 0.5032913008903352,
|
3031 |
+
"learning_rate": 4.772446816377408e-07,
|
3032 |
+
"loss": 0.131,
|
3033 |
+
"step": 432
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.87,
|
3037 |
+
"grad_norm": 0.6426696510198964,
|
3038 |
+
"learning_rate": 4.6353073211656886e-07,
|
3039 |
+
"loss": 0.1052,
|
3040 |
+
"step": 433
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.87,
|
3044 |
+
"grad_norm": 0.5498263109499336,
|
3045 |
+
"learning_rate": 4.5000712376024826e-07,
|
3046 |
+
"loss": 0.1032,
|
3047 |
+
"step": 434
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.87,
|
3051 |
+
"grad_norm": 0.40549938508345124,
|
3052 |
+
"learning_rate": 4.3667442399229985e-07,
|
3053 |
+
"loss": 0.0926,
|
3054 |
+
"step": 435
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.87,
|
3058 |
+
"grad_norm": 0.7541212490636288,
|
3059 |
+
"learning_rate": 4.2353319222610265e-07,
|
3060 |
+
"loss": 0.1439,
|
3061 |
+
"step": 436
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.87,
|
3065 |
+
"grad_norm": 0.4635173662535909,
|
3066 |
+
"learning_rate": 4.1058397984142405e-07,
|
3067 |
+
"loss": 0.096,
|
3068 |
+
"step": 437
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.88,
|
3072 |
+
"grad_norm": 0.5998166471175362,
|
3073 |
+
"learning_rate": 3.9782733016128006e-07,
|
3074 |
+
"loss": 0.1109,
|
3075 |
+
"step": 438
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.88,
|
3079 |
+
"grad_norm": 0.3380769566498276,
|
3080 |
+
"learning_rate": 3.852637784291424e-07,
|
3081 |
+
"loss": 0.0953,
|
3082 |
+
"step": 439
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 0.88,
|
3086 |
+
"grad_norm": 0.38092780934292936,
|
3087 |
+
"learning_rate": 3.728938517864794e-07,
|
3088 |
+
"loss": 0.0945,
|
3089 |
+
"step": 440
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.88,
|
3093 |
+
"grad_norm": 0.6024933875787805,
|
3094 |
+
"learning_rate": 3.60718069250639e-07,
|
3095 |
+
"loss": 0.1327,
|
3096 |
+
"step": 441
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.88,
|
3100 |
+
"grad_norm": 0.44759338633310003,
|
3101 |
+
"learning_rate": 3.4873694169306915e-07,
|
3102 |
+
"loss": 0.0929,
|
3103 |
+
"step": 442
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.89,
|
3107 |
+
"grad_norm": 0.5116789418410155,
|
3108 |
+
"learning_rate": 3.369509718178887e-07,
|
3109 |
+
"loss": 0.1275,
|
3110 |
+
"step": 443
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 0.89,
|
3114 |
+
"grad_norm": 0.4017029932757541,
|
3115 |
+
"learning_rate": 3.2536065414078724e-07,
|
3116 |
+
"loss": 0.0855,
|
3117 |
+
"step": 444
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.89,
|
3121 |
+
"grad_norm": 0.5016640455788635,
|
3122 |
+
"learning_rate": 3.1396647496828245e-07,
|
3123 |
+
"loss": 0.1004,
|
3124 |
+
"step": 445
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.89,
|
3128 |
+
"grad_norm": 0.6339501144884603,
|
3129 |
+
"learning_rate": 3.0276891237731085e-07,
|
3130 |
+
"loss": 0.1266,
|
3131 |
+
"step": 446
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.89,
|
3135 |
+
"grad_norm": 0.6132819225641576,
|
3136 |
+
"learning_rate": 2.917684361951728e-07,
|
3137 |
+
"loss": 0.1091,
|
3138 |
+
"step": 447
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 0.9,
|
3142 |
+
"grad_norm": 0.3294003954391178,
|
3143 |
+
"learning_rate": 2.809655079798179e-07,
|
3144 |
+
"loss": 0.0828,
|
3145 |
+
"step": 448
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.9,
|
3149 |
+
"grad_norm": 0.37041469935136134,
|
3150 |
+
"learning_rate": 2.7036058100047723e-07,
|
3151 |
+
"loss": 0.1038,
|
3152 |
+
"step": 449
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 0.9,
|
3156 |
+
"grad_norm": 0.42103224834837355,
|
3157 |
+
"learning_rate": 2.599541002186479e-07,
|
3158 |
+
"loss": 0.1018,
|
3159 |
+
"step": 450
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.9,
|
3163 |
+
"grad_norm": 0.46321653430346443,
|
3164 |
+
"learning_rate": 2.497465022694207e-07,
|
3165 |
+
"loss": 0.1268,
|
3166 |
+
"step": 451
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.9,
|
3170 |
+
"grad_norm": 0.4537632438141447,
|
3171 |
+
"learning_rate": 2.397382154431621e-07,
|
3172 |
+
"loss": 0.1088,
|
3173 |
+
"step": 452
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.91,
|
3177 |
+
"grad_norm": 0.7475463617224823,
|
3178 |
+
"learning_rate": 2.2992965966754378e-07,
|
3179 |
+
"loss": 0.1137,
|
3180 |
+
"step": 453
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 0.91,
|
3184 |
+
"grad_norm": 0.5796299422128173,
|
3185 |
+
"learning_rate": 2.2032124648992015e-07,
|
3186 |
+
"loss": 0.1336,
|
3187 |
+
"step": 454
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.91,
|
3191 |
+
"grad_norm": 0.4691159453915289,
|
3192 |
+
"learning_rate": 2.109133790600648e-07,
|
3193 |
+
"loss": 0.108,
|
3194 |
+
"step": 455
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 0.91,
|
3198 |
+
"grad_norm": 0.5657951237893031,
|
3199 |
+
"learning_rate": 2.0170645211325335e-07,
|
3200 |
+
"loss": 0.1171,
|
3201 |
+
"step": 456
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.91,
|
3205 |
+
"grad_norm": 0.47751387449511806,
|
3206 |
+
"learning_rate": 1.9270085195370048e-07,
|
3207 |
+
"loss": 0.1031,
|
3208 |
+
"step": 457
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.92,
|
3212 |
+
"grad_norm": 0.3433510325579123,
|
3213 |
+
"learning_rate": 1.838969564383525e-07,
|
3214 |
+
"loss": 0.0892,
|
3215 |
+
"step": 458
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.92,
|
3219 |
+
"grad_norm": 0.638737100201716,
|
3220 |
+
"learning_rate": 1.7529513496103322e-07,
|
3221 |
+
"loss": 0.1385,
|
3222 |
+
"step": 459
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 0.92,
|
3226 |
+
"grad_norm": 0.4782548614274575,
|
3227 |
+
"learning_rate": 1.6689574843694433e-07,
|
3228 |
+
"loss": 0.1234,
|
3229 |
+
"step": 460
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.92,
|
3233 |
+
"grad_norm": 0.5326026090381726,
|
3234 |
+
"learning_rate": 1.5869914928752117e-07,
|
3235 |
+
"loss": 0.1189,
|
3236 |
+
"step": 461
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 0.92,
|
3240 |
+
"grad_norm": 0.4669411712497723,
|
3241 |
+
"learning_rate": 1.5070568142564912e-07,
|
3242 |
+
"loss": 0.0891,
|
3243 |
+
"step": 462
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.93,
|
3247 |
+
"grad_norm": 0.3862189370579595,
|
3248 |
+
"learning_rate": 1.4291568024122848e-07,
|
3249 |
+
"loss": 0.0831,
|
3250 |
+
"step": 463
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.93,
|
3254 |
+
"grad_norm": 0.5448245008508469,
|
3255 |
+
"learning_rate": 1.3532947258710905e-07,
|
3256 |
+
"loss": 0.0955,
|
3257 |
+
"step": 464
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.93,
|
3261 |
+
"grad_norm": 0.49220745304750935,
|
3262 |
+
"learning_rate": 1.2794737676536993e-07,
|
3263 |
+
"loss": 0.1051,
|
3264 |
+
"step": 465
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 0.93,
|
3268 |
+
"grad_norm": 0.3637340784393114,
|
3269 |
+
"learning_rate": 1.2076970251396593e-07,
|
3270 |
+
"loss": 0.095,
|
3271 |
+
"step": 466
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.93,
|
3275 |
+
"grad_norm": 0.3973355109883454,
|
3276 |
+
"learning_rate": 1.1379675099373489e-07,
|
3277 |
+
"loss": 0.1043,
|
3278 |
+
"step": 467
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.94,
|
3282 |
+
"grad_norm": 0.44692984702888716,
|
3283 |
+
"learning_rate": 1.0702881477575589e-07,
|
3284 |
+
"loss": 0.1066,
|
3285 |
+
"step": 468
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.94,
|
3289 |
+
"grad_norm": 0.5763679470176152,
|
3290 |
+
"learning_rate": 1.004661778290783e-07,
|
3291 |
+
"loss": 0.1234,
|
3292 |
+
"step": 469
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.94,
|
3296 |
+
"grad_norm": 0.44436077187137873,
|
3297 |
+
"learning_rate": 9.410911550880474e-08,
|
3298 |
+
"loss": 0.0918,
|
3299 |
+
"step": 470
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.94,
|
3303 |
+
"grad_norm": 0.3476269676228987,
|
3304 |
+
"learning_rate": 8.795789454453862e-08,
|
3305 |
+
"loss": 0.0975,
|
3306 |
+
"step": 471
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 0.94,
|
3310 |
+
"grad_norm": 0.46833587547634364,
|
3311 |
+
"learning_rate": 8.201277302919086e-08,
|
3312 |
+
"loss": 0.1242,
|
3313 |
+
"step": 472
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.95,
|
3317 |
+
"grad_norm": 0.39017969110993045,
|
3318 |
+
"learning_rate": 7.627400040815414e-08,
|
3319 |
+
"loss": 0.101,
|
3320 |
+
"step": 473
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 0.95,
|
3324 |
+
"grad_norm": 0.4768933617350448,
|
3325 |
+
"learning_rate": 7.074181746883402e-08,
|
3326 |
+
"loss": 0.0966,
|
3327 |
+
"step": 474
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.95,
|
3331 |
+
"grad_norm": 0.3153236264194997,
|
3332 |
+
"learning_rate": 6.54164563305465e-08,
|
3333 |
+
"loss": 0.0978,
|
3334 |
+
"step": 475
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 0.95,
|
3338 |
+
"grad_norm": 0.5166758551426724,
|
3339 |
+
"learning_rate": 6.029814043478022e-08,
|
3340 |
+
"loss": 0.0887,
|
3341 |
+
"step": 476
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.95,
|
3345 |
+
"grad_norm": 0.3606207065519079,
|
3346 |
+
"learning_rate": 5.538708453581787e-08,
|
3347 |
+
"loss": 0.1031,
|
3348 |
+
"step": 477
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 0.96,
|
3352 |
+
"grad_norm": 0.4529222503971012,
|
3353 |
+
"learning_rate": 5.068349469173006e-08,
|
3354 |
+
"loss": 0.1079,
|
3355 |
+
"step": 478
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.96,
|
3359 |
+
"grad_norm": 0.5278299129516647,
|
3360 |
+
"learning_rate": 4.618756825572612e-08,
|
3361 |
+
"loss": 0.1106,
|
3362 |
+
"step": 479
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 0.96,
|
3366 |
+
"grad_norm": 0.40312254426110233,
|
3367 |
+
"learning_rate": 4.189949386787462e-08,
|
3368 |
+
"loss": 0.0876,
|
3369 |
+
"step": 480
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.96,
|
3373 |
+
"grad_norm": 0.42671161026738896,
|
3374 |
+
"learning_rate": 3.781945144718912e-08,
|
3375 |
+
"loss": 0.1113,
|
3376 |
+
"step": 481
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 0.96,
|
3380 |
+
"grad_norm": 0.3887996362909368,
|
3381 |
+
"learning_rate": 3.394761218407705e-08,
|
3382 |
+
"loss": 0.094,
|
3383 |
+
"step": 482
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.97,
|
3387 |
+
"grad_norm": 0.37232757332940153,
|
3388 |
+
"learning_rate": 3.0284138533160924e-08,
|
3389 |
+
"loss": 0.106,
|
3390 |
+
"step": 483
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 0.97,
|
3394 |
+
"grad_norm": 0.3555996153166186,
|
3395 |
+
"learning_rate": 2.6829184206457194e-08,
|
3396 |
+
"loss": 0.0741,
|
3397 |
+
"step": 484
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.97,
|
3401 |
+
"grad_norm": 0.39075036068882,
|
3402 |
+
"learning_rate": 2.358289416693027e-08,
|
3403 |
+
"loss": 0.0997,
|
3404 |
+
"step": 485
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 0.97,
|
3408 |
+
"grad_norm": 0.5388961437731601,
|
3409 |
+
"learning_rate": 2.0545404622407396e-08,
|
3410 |
+
"loss": 0.1184,
|
3411 |
+
"step": 486
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.97,
|
3415 |
+
"grad_norm": 0.4462529648205526,
|
3416 |
+
"learning_rate": 1.7716843019867646e-08,
|
3417 |
+
"loss": 0.1227,
|
3418 |
+
"step": 487
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 0.98,
|
3422 |
+
"grad_norm": 0.7419559501017631,
|
3423 |
+
"learning_rate": 1.509732804009012e-08,
|
3424 |
+
"loss": 0.0997,
|
3425 |
+
"step": 488
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.98,
|
3429 |
+
"grad_norm": 0.3574549728348087,
|
3430 |
+
"learning_rate": 1.268696959267679e-08,
|
3431 |
+
"loss": 0.0839,
|
3432 |
+
"step": 489
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 0.98,
|
3436 |
+
"grad_norm": 0.7319674554514716,
|
3437 |
+
"learning_rate": 1.0485868811441757e-08,
|
3438 |
+
"loss": 0.1157,
|
3439 |
+
"step": 490
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.98,
|
3443 |
+
"grad_norm": 0.4330086302002417,
|
3444 |
+
"learning_rate": 8.494118050164646e-09,
|
3445 |
+
"loss": 0.108,
|
3446 |
+
"step": 491
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 0.98,
|
3450 |
+
"grad_norm": 0.908790377545516,
|
3451 |
+
"learning_rate": 6.711800878718144e-09,
|
3452 |
+
"loss": 0.0784,
|
3453 |
+
"step": 492
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 0.99,
|
3457 |
+
"grad_norm": 0.4162251131978262,
|
3458 |
+
"learning_rate": 5.138992079561367e-09,
|
3459 |
+
"loss": 0.1076,
|
3460 |
+
"step": 493
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 0.99,
|
3464 |
+
"grad_norm": 0.6753032834413796,
|
3465 |
+
"learning_rate": 3.775757644601808e-09,
|
3466 |
+
"loss": 0.1421,
|
3467 |
+
"step": 494
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 0.99,
|
3471 |
+
"grad_norm": 0.351247714926159,
|
3472 |
+
"learning_rate": 2.6221547724253337e-09,
|
3473 |
+
"loss": 0.0838,
|
3474 |
+
"step": 495
|
3475 |
+
},
|
3476 |
+
{
|
3477 |
+
"epoch": 0.99,
|
3478 |
+
"grad_norm": 0.5659297756799074,
|
3479 |
+
"learning_rate": 1.6782318658992159e-09,
|
3480 |
+
"loss": 0.0941,
|
3481 |
+
"step": 496
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 0.99,
|
3485 |
+
"grad_norm": 0.579489706712821,
|
3486 |
+
"learning_rate": 9.440285301370865e-10,
|
3487 |
+
"loss": 0.0996,
|
3488 |
+
"step": 497
|
3489 |
+
},
|
3490 |
+
{
|
3491 |
+
"epoch": 1.0,
|
3492 |
+
"grad_norm": 0.42743719179238815,
|
3493 |
+
"learning_rate": 4.1957557084082447e-10,
|
3494 |
+
"loss": 0.1041,
|
3495 |
+
"step": 498
|
3496 |
+
},
|
3497 |
+
{
|
3498 |
+
"epoch": 1.0,
|
3499 |
+
"grad_norm": 0.37275044207396435,
|
3500 |
+
"learning_rate": 1.0489499300603279e-10,
|
3501 |
+
"loss": 0.0851,
|
3502 |
+
"step": 499
|
3503 |
+
},
|
3504 |
+
{
|
3505 |
+
"epoch": 1.0,
|
3506 |
+
"grad_norm": 0.5971765362779611,
|
3507 |
+
"learning_rate": 0.0,
|
3508 |
+
"loss": 0.1428,
|
3509 |
+
"step": 500
|
3510 |
+
},
|
3511 |
+
{
|
3512 |
+
"epoch": 1.0,
|
3513 |
+
"step": 500,
|
3514 |
+
"total_flos": 9092482900992.0,
|
3515 |
+
"train_loss": 0.12780791262537242,
|
3516 |
+
"train_runtime": 3709.5195,
|
3517 |
+
"train_samples_per_second": 0.539,
|
3518 |
+
"train_steps_per_second": 0.135
|
3519 |
+
}
|
3520 |
+
],
|
3521 |
+
"logging_steps": 1.0,
|
3522 |
+
"max_steps": 500,
|
3523 |
+
"num_input_tokens_seen": 0,
|
3524 |
+
"num_train_epochs": 1,
|
3525 |
+
"save_steps": 50000,
|
3526 |
+
"total_flos": 9092482900992.0,
|
3527 |
+
"train_batch_size": 1,
|
3528 |
+
"trial_name": null,
|
3529 |
+
"trial_params": null
|
3530 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"gate_proj",
|
18 |
+
"k_proj",
|
19 |
+
"q_proj",
|
20 |
+
"fc1",
|
21 |
+
"up_proj",
|
22 |
+
"o_proj",
|
23 |
+
"v_proj",
|
24 |
+
"fc2",
|
25 |
+
"down_proj"
|
26 |
+
],
|
27 |
+
"task_type": "CAUSAL_LM"
|
28 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3a0bfcb125505207db4fb326971c83434d4ef7cadb2076c77f156a87b5e749d6
|
3 |
+
size 1529358010
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bd98657814ebbbc0ea316972b27ebeb379ff65dcea996e404b1bd66668d5f9f5
|
3 |
+
size 33964208
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_1_olora256_all_mm_tune_512_llm/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"gate_proj",
|
18 |
+
"v_proj",
|
19 |
+
"o_proj",
|
20 |
+
"fc1",
|
21 |
+
"k_proj",
|
22 |
+
"fc2",
|
23 |
+
"up_proj",
|
24 |
+
"q_proj",
|
25 |
+
"down_proj"
|
26 |
+
],
|
27 |
+
"task_type": "CAUSAL_LM"
|
28 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d2f4f19e7626d066ae39da23c434add781c82ed522d560c25d4bcdc09c4d5cc
|
3 |
+
size 1529358010
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:501122b5a1df3a7cbf0688fdcfa42ddc89cbf1aaef2ef29e1bce5ba1a5b95f89
|
3 |
+
size 33964208
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_all_mm_tune_olora256_512_llm/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"k_proj",
|
18 |
+
"o_proj",
|
19 |
+
"gate_proj",
|
20 |
+
"down_proj",
|
21 |
+
"q_proj",
|
22 |
+
"up_proj",
|
23 |
+
"v_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8836bd393ca746e68ac2d18d9c18d7eca982afe5880b1af6af5811693691cf40
|
3 |
+
size 1384057050
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
3 |
+
size 912
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_23_bash_olora256_512_llm/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"up_proj",
|
18 |
+
"v_proj",
|
19 |
+
"down_proj",
|
20 |
+
"o_proj",
|
21 |
+
"k_proj",
|
22 |
+
"gate_proj",
|
23 |
+
"q_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:40a49694ef48a189c1ff9aa59a62850e1552f0b0531610ef54943c480d20910a
|
3 |
+
size 1384057050
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
3 |
+
size 912
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_512_llm/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"down_proj",
|
18 |
+
"fc2",
|
19 |
+
"q_proj",
|
20 |
+
"k_proj",
|
21 |
+
"gate_proj",
|
22 |
+
"v_proj",
|
23 |
+
"fc1",
|
24 |
+
"up_proj",
|
25 |
+
"o_proj"
|
26 |
+
],
|
27 |
+
"task_type": "CAUSAL_LM"
|
28 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e5ceb3e92a6af5268286c0d3052f07c60edc638610da316c97a3e7917dcee8ae
|
3 |
+
size 1529358010
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f85c885a28521bd93b4926f40e5fbf657d431bab27a2caea5c4baa5154e3e672
|
3 |
+
size 33964208
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_2_olora256_all_mm_tune_512_llm/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": "olora",
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 512,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 256,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"down_proj",
|
18 |
+
"v_proj",
|
19 |
+
"gate_proj",
|
20 |
+
"q_proj",
|
21 |
+
"k_proj",
|
22 |
+
"up_proj",
|
23 |
+
"o_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d44cde697b4a72164e7fe3957f580825c8bb8cfc341a347a98574a7aee90c641
|
3 |
+
size 1384057050
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/config.json
ADDED
@@ -0,0 +1,221 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "lmms-lab/llava-onevision-qwen2-7b-si",
|
3 |
+
"add_faster_video": false,
|
4 |
+
"add_time_instruction": true,
|
5 |
+
"architectures": [
|
6 |
+
"LlavaQwenForCausalLM"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 151643,
|
10 |
+
"eos_token_id": 151645,
|
11 |
+
"faster_token_stride": 10,
|
12 |
+
"force_sample": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 3584,
|
15 |
+
"ignore_index": -100,
|
16 |
+
"image_aspect_ratio": "anyres_max_9",
|
17 |
+
"image_crop_resolution": null,
|
18 |
+
"image_grid_pinpoints": [
|
19 |
+
[
|
20 |
+
384,
|
21 |
+
384
|
22 |
+
],
|
23 |
+
[
|
24 |
+
384,
|
25 |
+
768
|
26 |
+
],
|
27 |
+
[
|
28 |
+
384,
|
29 |
+
1152
|
30 |
+
],
|
31 |
+
[
|
32 |
+
384,
|
33 |
+
1536
|
34 |
+
],
|
35 |
+
[
|
36 |
+
384,
|
37 |
+
1920
|
38 |
+
],
|
39 |
+
[
|
40 |
+
384,
|
41 |
+
2304
|
42 |
+
],
|
43 |
+
[
|
44 |
+
768,
|
45 |
+
384
|
46 |
+
],
|
47 |
+
[
|
48 |
+
768,
|
49 |
+
768
|
50 |
+
],
|
51 |
+
[
|
52 |
+
768,
|
53 |
+
1152
|
54 |
+
],
|
55 |
+
[
|
56 |
+
768,
|
57 |
+
1536
|
58 |
+
],
|
59 |
+
[
|
60 |
+
768,
|
61 |
+
1920
|
62 |
+
],
|
63 |
+
[
|
64 |
+
768,
|
65 |
+
2304
|
66 |
+
],
|
67 |
+
[
|
68 |
+
1152,
|
69 |
+
384
|
70 |
+
],
|
71 |
+
[
|
72 |
+
1152,
|
73 |
+
768
|
74 |
+
],
|
75 |
+
[
|
76 |
+
1152,
|
77 |
+
1152
|
78 |
+
],
|
79 |
+
[
|
80 |
+
1152,
|
81 |
+
1536
|
82 |
+
],
|
83 |
+
[
|
84 |
+
1152,
|
85 |
+
1920
|
86 |
+
],
|
87 |
+
[
|
88 |
+
1152,
|
89 |
+
2304
|
90 |
+
],
|
91 |
+
[
|
92 |
+
1536,
|
93 |
+
384
|
94 |
+
],
|
95 |
+
[
|
96 |
+
1536,
|
97 |
+
768
|
98 |
+
],
|
99 |
+
[
|
100 |
+
1536,
|
101 |
+
1152
|
102 |
+
],
|
103 |
+
[
|
104 |
+
1536,
|
105 |
+
1536
|
106 |
+
],
|
107 |
+
[
|
108 |
+
1536,
|
109 |
+
1920
|
110 |
+
],
|
111 |
+
[
|
112 |
+
1536,
|
113 |
+
2304
|
114 |
+
],
|
115 |
+
[
|
116 |
+
1920,
|
117 |
+
384
|
118 |
+
],
|
119 |
+
[
|
120 |
+
1920,
|
121 |
+
768
|
122 |
+
],
|
123 |
+
[
|
124 |
+
1920,
|
125 |
+
1152
|
126 |
+
],
|
127 |
+
[
|
128 |
+
1920,
|
129 |
+
1536
|
130 |
+
],
|
131 |
+
[
|
132 |
+
1920,
|
133 |
+
1920
|
134 |
+
],
|
135 |
+
[
|
136 |
+
1920,
|
137 |
+
2304
|
138 |
+
],
|
139 |
+
[
|
140 |
+
2304,
|
141 |
+
384
|
142 |
+
],
|
143 |
+
[
|
144 |
+
2304,
|
145 |
+
768
|
146 |
+
],
|
147 |
+
[
|
148 |
+
2304,
|
149 |
+
1152
|
150 |
+
],
|
151 |
+
[
|
152 |
+
2304,
|
153 |
+
1536
|
154 |
+
],
|
155 |
+
[
|
156 |
+
2304,
|
157 |
+
1920
|
158 |
+
],
|
159 |
+
[
|
160 |
+
2304,
|
161 |
+
2304
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"image_split_resolution": null,
|
165 |
+
"image_token_index": 151646,
|
166 |
+
"initializer_range": 0.02,
|
167 |
+
"intermediate_size": 18944,
|
168 |
+
"max_position_embeddings": 32768,
|
169 |
+
"max_window_layers": 28,
|
170 |
+
"mm_hidden_size": 1152,
|
171 |
+
"mm_newline_position": "grid",
|
172 |
+
"mm_patch_merge_type": "spatial_unpad",
|
173 |
+
"mm_projector_lr": 2e-05,
|
174 |
+
"mm_projector_type": "mlp2x_gelu",
|
175 |
+
"mm_resampler_type": null,
|
176 |
+
"mm_spatial_pool_mode": "bilinear",
|
177 |
+
"mm_spatial_pool_stride": 2,
|
178 |
+
"mm_tunable_parts": "mm_language_model",
|
179 |
+
"mm_use_im_patch_token": false,
|
180 |
+
"mm_use_im_start_end": false,
|
181 |
+
"mm_vision_select_feature": "patch",
|
182 |
+
"mm_vision_select_layer": -2,
|
183 |
+
"mm_vision_tower": "google/siglip-so400m-patch14-384",
|
184 |
+
"mm_vision_tower_lr": null,
|
185 |
+
"model_type": "llava",
|
186 |
+
"num_attention_heads": 28,
|
187 |
+
"num_hidden_layers": 28,
|
188 |
+
"num_key_value_heads": 4,
|
189 |
+
"pos_skipping_range": 4096,
|
190 |
+
"projector_hidden_act": "gelu",
|
191 |
+
"rms_norm_eps": 1e-06,
|
192 |
+
"rope_scaling": null,
|
193 |
+
"rope_theta": 1000000.0,
|
194 |
+
"sliding_window": 131072,
|
195 |
+
"text_config": {
|
196 |
+
"model_type": "llama"
|
197 |
+
},
|
198 |
+
"tie_word_embeddings": false,
|
199 |
+
"tokenizer_model_max_length": 32768,
|
200 |
+
"tokenizer_padding_side": "right",
|
201 |
+
"torch_dtype": "bfloat16",
|
202 |
+
"transformers_version": "4.40.0.dev0",
|
203 |
+
"use_cache": true,
|
204 |
+
"use_mm_proj": true,
|
205 |
+
"use_pos_skipping": false,
|
206 |
+
"use_sliding_window": false,
|
207 |
+
"vision_config": {
|
208 |
+
"hidden_size": 1024,
|
209 |
+
"image_size": 336,
|
210 |
+
"intermediate_size": 4096,
|
211 |
+
"model_type": "clip_vision_model",
|
212 |
+
"num_attention_heads": 16,
|
213 |
+
"num_hidden_layers": 24,
|
214 |
+
"patch_size": 14,
|
215 |
+
"projection_dim": 768,
|
216 |
+
"vocab_size": 32000
|
217 |
+
},
|
218 |
+
"vision_feature_layer": -2,
|
219 |
+
"vision_feature_select_strategy": "default",
|
220 |
+
"vision_tower_pretrained": null
|
221 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/generation_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"repetition_penalty": 1.05,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_k": 20,
|
12 |
+
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.40.0.dev0"
|
14 |
+
}
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
3 |
+
size 912
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_512_llm/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-AG_v5_3_split0_6_olora256_all_mm_tune_512_llm/README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|