Kearm commited on
Commit
dcafbe0
1 Parent(s): 7a95790

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-7B",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "max_position_embeddings": 131072,
13
+ "max_window_layers": 28,
14
+ "model_type": "qwen2",
15
+ "num_attention_heads": 28,
16
+ "num_hidden_layers": 28,
17
+ "num_key_value_heads": 4,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.45.1",
25
+ "use_cache": false,
26
+ "use_mrope": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": 151643,
5
+ "max_new_tokens": 2048,
6
+ "transformers_version": "4.45.1"
7
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c76fa96a7451ac044ab0bbfec547783bde3a1aca86cb1357d390149c29ea2527
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3991f71374e83952e55049260e2933a6c78c337e78790ac798528b5a9d49834
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9cfb2a1a963db89a6841e6d3415b766076e4f59ae068d788fcdb3bcd713ecc4
3
+ size 4330865200
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8aa26a04efea407b900b2ccd8c14eaaa71adb68cbf77a28fe6678e39014a68d
3
+ size 1089994880
model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15231233024
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00003-of-00004.safetensors"
345
+ }
346
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|endoftext|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
trainer_state.json ADDED
@@ -0,0 +1,2706 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.2539152223846315,
5
+ "eval_steps": 75,
6
+ "global_step": 375,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.003341687552213868,
13
+ "grad_norm": 9.422656730262974,
14
+ "learning_rate": 1.6666666666666667e-06,
15
+ "loss": 1.4155,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.003341687552213868,
20
+ "eval_loss": 1.8004764318466187,
21
+ "eval_runtime": 49.231,
22
+ "eval_samples_per_second": 0.447,
23
+ "eval_steps_per_second": 0.122,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.006683375104427736,
28
+ "grad_norm": 7.9592686195064655,
29
+ "learning_rate": 3.3333333333333333e-06,
30
+ "loss": 1.4836,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.010025062656641603,
35
+ "grad_norm": 11.08227927061808,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.568,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.013366750208855471,
42
+ "grad_norm": 9.054404458978134,
43
+ "learning_rate": 6.666666666666667e-06,
44
+ "loss": 1.4902,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.01670843776106934,
49
+ "grad_norm": 4.814739146640832,
50
+ "learning_rate": 8.333333333333334e-06,
51
+ "loss": 1.4581,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.020050125313283207,
56
+ "grad_norm": 3.370760758247303,
57
+ "learning_rate": 1e-05,
58
+ "loss": 1.4943,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.023391812865497075,
63
+ "grad_norm": 4.15650648864708,
64
+ "learning_rate": 1.1666666666666668e-05,
65
+ "loss": 1.3664,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.026733500417710943,
70
+ "grad_norm": 4.168972921570349,
71
+ "learning_rate": 1.3333333333333333e-05,
72
+ "loss": 1.369,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.03007518796992481,
77
+ "grad_norm": 2.5626426979817754,
78
+ "learning_rate": 1.5e-05,
79
+ "loss": 1.4485,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.03341687552213868,
84
+ "grad_norm": 1266.5995492196223,
85
+ "learning_rate": 1.6666666666666667e-05,
86
+ "loss": 1.3401,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.036758563074352546,
91
+ "grad_norm": 2.544199092180538,
92
+ "learning_rate": 1.8333333333333333e-05,
93
+ "loss": 1.3449,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.040100250626566414,
98
+ "grad_norm": 2.2046489399946028,
99
+ "learning_rate": 2e-05,
100
+ "loss": 1.3165,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.04344193817878028,
105
+ "grad_norm": 1.8293693281340389,
106
+ "learning_rate": 2.1666666666666667e-05,
107
+ "loss": 1.397,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.04678362573099415,
112
+ "grad_norm": 2.149761301718473,
113
+ "learning_rate": 2.3333333333333336e-05,
114
+ "loss": 1.436,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.05012531328320802,
119
+ "grad_norm": 2.1865938834852523,
120
+ "learning_rate": 2.5e-05,
121
+ "loss": 1.3629,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.053467000835421885,
126
+ "grad_norm": 1.6718675362366882,
127
+ "learning_rate": 2.6666666666666667e-05,
128
+ "loss": 1.2787,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.05680868838763575,
133
+ "grad_norm": 1.7469631110837789,
134
+ "learning_rate": 2.8333333333333335e-05,
135
+ "loss": 1.3666,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.06015037593984962,
140
+ "grad_norm": 2.026182288959042,
141
+ "learning_rate": 3e-05,
142
+ "loss": 1.3905,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.06349206349206349,
147
+ "grad_norm": 1.5601215827368777,
148
+ "learning_rate": 3.1666666666666666e-05,
149
+ "loss": 1.2615,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.06683375104427736,
154
+ "grad_norm": 1.6239108972686256,
155
+ "learning_rate": 3.3333333333333335e-05,
156
+ "loss": 1.2865,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.07017543859649122,
161
+ "grad_norm": 1.8043652555869882,
162
+ "learning_rate": 3.5e-05,
163
+ "loss": 1.3364,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.07351712614870509,
168
+ "grad_norm": 1.418878317939115,
169
+ "learning_rate": 3.6666666666666666e-05,
170
+ "loss": 1.239,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.07685881370091896,
175
+ "grad_norm": 1.641006294199728,
176
+ "learning_rate": 3.8333333333333334e-05,
177
+ "loss": 1.2206,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.08020050125313283,
182
+ "grad_norm": 1.4565002852740556,
183
+ "learning_rate": 4e-05,
184
+ "loss": 1.3179,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.0835421888053467,
189
+ "grad_norm": 1.2586337015066662,
190
+ "learning_rate": 4.166666666666667e-05,
191
+ "loss": 1.2097,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.08688387635756056,
196
+ "grad_norm": 1.2904448628312173,
197
+ "learning_rate": 4.3333333333333334e-05,
198
+ "loss": 1.2804,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.09022556390977443,
203
+ "grad_norm": 1.336149520030802,
204
+ "learning_rate": 4.5e-05,
205
+ "loss": 1.2905,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.0935672514619883,
210
+ "grad_norm": 1.3805663163469717,
211
+ "learning_rate": 4.666666666666667e-05,
212
+ "loss": 1.2018,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.09690893901420217,
217
+ "grad_norm": 1.3223829196481407,
218
+ "learning_rate": 4.8333333333333334e-05,
219
+ "loss": 1.3514,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.10025062656641603,
224
+ "grad_norm": 1.117557068600307,
225
+ "learning_rate": 5e-05,
226
+ "loss": 1.3185,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.1035923141186299,
231
+ "grad_norm": 1.3628329620488002,
232
+ "learning_rate": 4.999983587637969e-05,
233
+ "loss": 1.3184,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.10693400167084377,
238
+ "grad_norm": 1.6900882409593405,
239
+ "learning_rate": 4.999934350767369e-05,
240
+ "loss": 1.2478,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.11027568922305764,
245
+ "grad_norm": 1.1018164563546424,
246
+ "learning_rate": 4.999852290034673e-05,
247
+ "loss": 1.1818,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.1136173767752715,
252
+ "grad_norm": 1.517905740455229,
253
+ "learning_rate": 4.9997374065173316e-05,
254
+ "loss": 1.241,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.11695906432748537,
259
+ "grad_norm": 1.3462450662992849,
260
+ "learning_rate": 4.999589701723751e-05,
261
+ "loss": 1.4392,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.12030075187969924,
266
+ "grad_norm": 1.332649775646042,
267
+ "learning_rate": 4.99940917759328e-05,
268
+ "loss": 1.3001,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.12364243943191311,
273
+ "grad_norm": 1.3291037070625635,
274
+ "learning_rate": 4.9991958364961794e-05,
275
+ "loss": 1.2308,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.12698412698412698,
280
+ "grad_norm": 1.42150501947453,
281
+ "learning_rate": 4.998949681233595e-05,
282
+ "loss": 1.2918,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.13032581453634084,
287
+ "grad_norm": 1.074142668859534,
288
+ "learning_rate": 4.998670715037518e-05,
289
+ "loss": 1.278,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.1336675020885547,
294
+ "grad_norm": 1.2920579933597587,
295
+ "learning_rate": 4.998358941570744e-05,
296
+ "loss": 1.3275,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.13700918964076858,
301
+ "grad_norm": 1.237403262913235,
302
+ "learning_rate": 4.998014364926824e-05,
303
+ "loss": 1.2,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.14035087719298245,
308
+ "grad_norm": 1.268092315378372,
309
+ "learning_rate": 4.997636989630011e-05,
310
+ "loss": 1.1777,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.14369256474519632,
315
+ "grad_norm": 1.0207096180154704,
316
+ "learning_rate": 4.997226820635203e-05,
317
+ "loss": 1.2758,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.14703425229741018,
322
+ "grad_norm": 1.3430934015213214,
323
+ "learning_rate": 4.99678386332787e-05,
324
+ "loss": 1.1911,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.15037593984962405,
329
+ "grad_norm": 1.1541607076308344,
330
+ "learning_rate": 4.996308123523995e-05,
331
+ "loss": 1.2296,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.15371762740183792,
336
+ "grad_norm": 1.2443113266651544,
337
+ "learning_rate": 4.9957996074699884e-05,
338
+ "loss": 1.2381,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.1570593149540518,
343
+ "grad_norm": 1.0652313229665111,
344
+ "learning_rate": 4.995258321842611e-05,
345
+ "loss": 1.1833,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.16040100250626566,
350
+ "grad_norm": 1.1543672819429747,
351
+ "learning_rate": 4.9946842737488815e-05,
352
+ "loss": 1.2179,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.16374269005847952,
357
+ "grad_norm": 1.1021407909957812,
358
+ "learning_rate": 4.994077470725989e-05,
359
+ "loss": 1.2463,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.1670843776106934,
364
+ "grad_norm": 1.1322090567817211,
365
+ "learning_rate": 4.993437920741191e-05,
366
+ "loss": 1.1531,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.17042606516290726,
371
+ "grad_norm": 1.272598115993271,
372
+ "learning_rate": 4.992765632191706e-05,
373
+ "loss": 1.2044,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.17376775271512113,
378
+ "grad_norm": 1.2820610442976028,
379
+ "learning_rate": 4.992060613904611e-05,
380
+ "loss": 1.2833,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.177109440267335,
385
+ "grad_norm": 1.03946480935167,
386
+ "learning_rate": 4.991322875136716e-05,
387
+ "loss": 1.2043,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.18045112781954886,
392
+ "grad_norm": 1.4100014931322022,
393
+ "learning_rate": 4.990552425574452e-05,
394
+ "loss": 1.2572,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.18379281537176273,
399
+ "grad_norm": 1.1044198987392109,
400
+ "learning_rate": 4.989749275333735e-05,
401
+ "loss": 1.173,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.1871345029239766,
406
+ "grad_norm": 1.2029957139213148,
407
+ "learning_rate": 4.9889134349598384e-05,
408
+ "loss": 1.2086,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.19047619047619047,
413
+ "grad_norm": 1.1209588633953635,
414
+ "learning_rate": 4.988044915427257e-05,
415
+ "loss": 1.2347,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.19381787802840433,
420
+ "grad_norm": 1.1050690405175774,
421
+ "learning_rate": 4.9871437281395525e-05,
422
+ "loss": 1.2299,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.1971595655806182,
427
+ "grad_norm": 1.121471860445537,
428
+ "learning_rate": 4.986209884929218e-05,
429
+ "loss": 1.1989,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.20050125313283207,
434
+ "grad_norm": 1.1616230448507037,
435
+ "learning_rate": 4.98524339805751e-05,
436
+ "loss": 1.392,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.20384294068504594,
441
+ "grad_norm": 1.091249962757003,
442
+ "learning_rate": 4.984244280214294e-05,
443
+ "loss": 1.2663,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.2071846282372598,
448
+ "grad_norm": 1.1157809777653205,
449
+ "learning_rate": 4.983212544517878e-05,
450
+ "loss": 1.2751,
451
+ "step": 62
452
+ },
453
+ {
454
+ "epoch": 0.21052631578947367,
455
+ "grad_norm": 1.2254356056906608,
456
+ "learning_rate": 4.9821482045148375e-05,
457
+ "loss": 1.2468,
458
+ "step": 63
459
+ },
460
+ {
461
+ "epoch": 0.21386800334168754,
462
+ "grad_norm": 1.0405533895078984,
463
+ "learning_rate": 4.98105127417984e-05,
464
+ "loss": 1.1853,
465
+ "step": 64
466
+ },
467
+ {
468
+ "epoch": 0.2172096908939014,
469
+ "grad_norm": 1.1342961308693198,
470
+ "learning_rate": 4.9799217679154584e-05,
471
+ "loss": 1.2196,
472
+ "step": 65
473
+ },
474
+ {
475
+ "epoch": 0.22055137844611528,
476
+ "grad_norm": 1.1946061028510457,
477
+ "learning_rate": 4.978759700551986e-05,
478
+ "loss": 1.1807,
479
+ "step": 66
480
+ },
481
+ {
482
+ "epoch": 0.22389306599832914,
483
+ "grad_norm": 1.1751408913504486,
484
+ "learning_rate": 4.977565087347239e-05,
485
+ "loss": 1.2289,
486
+ "step": 67
487
+ },
488
+ {
489
+ "epoch": 0.227234753550543,
490
+ "grad_norm": 1.3191541216438447,
491
+ "learning_rate": 4.976337943986357e-05,
492
+ "loss": 1.214,
493
+ "step": 68
494
+ },
495
+ {
496
+ "epoch": 0.23057644110275688,
497
+ "grad_norm": 1.1444973785656187,
498
+ "learning_rate": 4.975078286581596e-05,
499
+ "loss": 1.2287,
500
+ "step": 69
501
+ },
502
+ {
503
+ "epoch": 0.23391812865497075,
504
+ "grad_norm": 1.2184149728817883,
505
+ "learning_rate": 4.97378613167212e-05,
506
+ "loss": 1.3791,
507
+ "step": 70
508
+ },
509
+ {
510
+ "epoch": 0.23725981620718462,
511
+ "grad_norm": 1.1647377307572258,
512
+ "learning_rate": 4.9724614962237803e-05,
513
+ "loss": 1.1693,
514
+ "step": 71
515
+ },
516
+ {
517
+ "epoch": 0.24060150375939848,
518
+ "grad_norm": 1.1110859065431626,
519
+ "learning_rate": 4.971104397628893e-05,
520
+ "loss": 1.2154,
521
+ "step": 72
522
+ },
523
+ {
524
+ "epoch": 0.24394319131161235,
525
+ "grad_norm": 1.2567000920579476,
526
+ "learning_rate": 4.9697148537060136e-05,
527
+ "loss": 1.1611,
528
+ "step": 73
529
+ },
530
+ {
531
+ "epoch": 0.24728487886382622,
532
+ "grad_norm": 1.1550950387887173,
533
+ "learning_rate": 4.9682928826997e-05,
534
+ "loss": 1.257,
535
+ "step": 74
536
+ },
537
+ {
538
+ "epoch": 0.2506265664160401,
539
+ "grad_norm": 1.0281075297368318,
540
+ "learning_rate": 4.966838503280275e-05,
541
+ "loss": 1.1868,
542
+ "step": 75
543
+ },
544
+ {
545
+ "epoch": 0.2506265664160401,
546
+ "eval_loss": 1.4157997369766235,
547
+ "eval_runtime": 48.5608,
548
+ "eval_samples_per_second": 0.453,
549
+ "eval_steps_per_second": 0.124,
550
+ "step": 75
551
+ },
552
+ {
553
+ "epoch": 0.25396825396825395,
554
+ "grad_norm": 1.1032178941225772,
555
+ "learning_rate": 4.96535173454358e-05,
556
+ "loss": 1.1861,
557
+ "step": 76
558
+ },
559
+ {
560
+ "epoch": 0.2573099415204678,
561
+ "grad_norm": 1.093369250778169,
562
+ "learning_rate": 4.9638325960107235e-05,
563
+ "loss": 1.2555,
564
+ "step": 77
565
+ },
566
+ {
567
+ "epoch": 0.2606516290726817,
568
+ "grad_norm": 1.1413869539274288,
569
+ "learning_rate": 4.962281107627828e-05,
570
+ "loss": 1.2892,
571
+ "step": 78
572
+ },
573
+ {
574
+ "epoch": 0.26399331662489556,
575
+ "grad_norm": 1.0532164721638475,
576
+ "learning_rate": 4.960697289765764e-05,
577
+ "loss": 1.2131,
578
+ "step": 79
579
+ },
580
+ {
581
+ "epoch": 0.2673350041771094,
582
+ "grad_norm": 1.0579041886059877,
583
+ "learning_rate": 4.959081163219885e-05,
584
+ "loss": 1.2693,
585
+ "step": 80
586
+ },
587
+ {
588
+ "epoch": 0.2706766917293233,
589
+ "grad_norm": 1.1312038750809115,
590
+ "learning_rate": 4.957432749209755e-05,
591
+ "loss": 1.2504,
592
+ "step": 81
593
+ },
594
+ {
595
+ "epoch": 0.27401837928153716,
596
+ "grad_norm": 1.0252412589334967,
597
+ "learning_rate": 4.955752069378867e-05,
598
+ "loss": 1.1226,
599
+ "step": 82
600
+ },
601
+ {
602
+ "epoch": 0.27736006683375103,
603
+ "grad_norm": 1.0668623234540449,
604
+ "learning_rate": 4.9540391457943626e-05,
605
+ "loss": 1.2471,
606
+ "step": 83
607
+ },
608
+ {
609
+ "epoch": 0.2807017543859649,
610
+ "grad_norm": 1.1247331389355435,
611
+ "learning_rate": 4.9522940009467385e-05,
612
+ "loss": 1.3092,
613
+ "step": 84
614
+ },
615
+ {
616
+ "epoch": 0.28404344193817876,
617
+ "grad_norm": 1.0404338917876472,
618
+ "learning_rate": 4.9505166577495546e-05,
619
+ "loss": 1.2724,
620
+ "step": 85
621
+ },
622
+ {
623
+ "epoch": 0.28738512949039263,
624
+ "grad_norm": 1.0666603820625944,
625
+ "learning_rate": 4.9487071395391304e-05,
626
+ "loss": 1.212,
627
+ "step": 86
628
+ },
629
+ {
630
+ "epoch": 0.2907268170426065,
631
+ "grad_norm": 1.028172195805746,
632
+ "learning_rate": 4.946865470074241e-05,
633
+ "loss": 1.2332,
634
+ "step": 87
635
+ },
636
+ {
637
+ "epoch": 0.29406850459482037,
638
+ "grad_norm": 1.086672162070916,
639
+ "learning_rate": 4.944991673535803e-05,
640
+ "loss": 1.2241,
641
+ "step": 88
642
+ },
643
+ {
644
+ "epoch": 0.29741019214703424,
645
+ "grad_norm": 1.0006701473196968,
646
+ "learning_rate": 4.943085774526557e-05,
647
+ "loss": 1.2506,
648
+ "step": 89
649
+ },
650
+ {
651
+ "epoch": 0.3007518796992481,
652
+ "grad_norm": 1.0581177814326124,
653
+ "learning_rate": 4.941147798070748e-05,
654
+ "loss": 1.1867,
655
+ "step": 90
656
+ },
657
+ {
658
+ "epoch": 0.30409356725146197,
659
+ "grad_norm": 1.1670838320424346,
660
+ "learning_rate": 4.939177769613793e-05,
661
+ "loss": 1.2656,
662
+ "step": 91
663
+ },
664
+ {
665
+ "epoch": 0.30743525480367584,
666
+ "grad_norm": 1.0708821933487631,
667
+ "learning_rate": 4.937175715021947e-05,
668
+ "loss": 1.2476,
669
+ "step": 92
670
+ },
671
+ {
672
+ "epoch": 0.3107769423558897,
673
+ "grad_norm": 1.2274131496276997,
674
+ "learning_rate": 4.935141660581967e-05,
675
+ "loss": 1.2109,
676
+ "step": 93
677
+ },
678
+ {
679
+ "epoch": 0.3141186299081036,
680
+ "grad_norm": 1.1219369001475894,
681
+ "learning_rate": 4.933075633000762e-05,
682
+ "loss": 1.1672,
683
+ "step": 94
684
+ },
685
+ {
686
+ "epoch": 0.31746031746031744,
687
+ "grad_norm": 1.3306757923587944,
688
+ "learning_rate": 4.9309776594050485e-05,
689
+ "loss": 1.2768,
690
+ "step": 95
691
+ },
692
+ {
693
+ "epoch": 0.3208020050125313,
694
+ "grad_norm": 1.2323559759209257,
695
+ "learning_rate": 4.928847767340985e-05,
696
+ "loss": 1.2487,
697
+ "step": 96
698
+ },
699
+ {
700
+ "epoch": 0.3241436925647452,
701
+ "grad_norm": 1.3365381410958403,
702
+ "learning_rate": 4.9266859847738216e-05,
703
+ "loss": 1.3815,
704
+ "step": 97
705
+ },
706
+ {
707
+ "epoch": 0.32748538011695905,
708
+ "grad_norm": 1.0365471654338871,
709
+ "learning_rate": 4.9244923400875245e-05,
710
+ "loss": 1.2593,
711
+ "step": 98
712
+ },
713
+ {
714
+ "epoch": 0.3308270676691729,
715
+ "grad_norm": 1.2743177210627519,
716
+ "learning_rate": 4.9222668620844045e-05,
717
+ "loss": 1.2763,
718
+ "step": 99
719
+ },
720
+ {
721
+ "epoch": 0.3341687552213868,
722
+ "grad_norm": 1.134125425689655,
723
+ "learning_rate": 4.920009579984745e-05,
724
+ "loss": 1.213,
725
+ "step": 100
726
+ },
727
+ {
728
+ "epoch": 0.33751044277360065,
729
+ "grad_norm": 1.09970050960468,
730
+ "learning_rate": 4.917720523426408e-05,
731
+ "loss": 1.124,
732
+ "step": 101
733
+ },
734
+ {
735
+ "epoch": 0.3408521303258145,
736
+ "grad_norm": 1.206078654647485,
737
+ "learning_rate": 4.915399722464455e-05,
738
+ "loss": 1.2306,
739
+ "step": 102
740
+ },
741
+ {
742
+ "epoch": 0.3441938178780284,
743
+ "grad_norm": 1.1159637768382946,
744
+ "learning_rate": 4.9130472075707476e-05,
745
+ "loss": 1.1426,
746
+ "step": 103
747
+ },
748
+ {
749
+ "epoch": 0.34753550543024225,
750
+ "grad_norm": 0.9446952904809814,
751
+ "learning_rate": 4.910663009633544e-05,
752
+ "loss": 1.1786,
753
+ "step": 104
754
+ },
755
+ {
756
+ "epoch": 0.3508771929824561,
757
+ "grad_norm": 1.1367001934835825,
758
+ "learning_rate": 4.9082471599571015e-05,
759
+ "loss": 1.2124,
760
+ "step": 105
761
+ },
762
+ {
763
+ "epoch": 0.35421888053467,
764
+ "grad_norm": 1.0634444839475792,
765
+ "learning_rate": 4.90579969026126e-05,
766
+ "loss": 1.2518,
767
+ "step": 106
768
+ },
769
+ {
770
+ "epoch": 0.35756056808688386,
771
+ "grad_norm": 1.0063586119274412,
772
+ "learning_rate": 4.9033206326810254e-05,
773
+ "loss": 1.1361,
774
+ "step": 107
775
+ },
776
+ {
777
+ "epoch": 0.3609022556390977,
778
+ "grad_norm": 0.9565419392852244,
779
+ "learning_rate": 4.900810019766151e-05,
780
+ "loss": 1.2128,
781
+ "step": 108
782
+ },
783
+ {
784
+ "epoch": 0.3642439431913116,
785
+ "grad_norm": 0.9787104337545581,
786
+ "learning_rate": 4.8982678844807074e-05,
787
+ "loss": 1.212,
788
+ "step": 109
789
+ },
790
+ {
791
+ "epoch": 0.36758563074352546,
792
+ "grad_norm": 0.9780003889680408,
793
+ "learning_rate": 4.895694260202649e-05,
794
+ "loss": 1.2376,
795
+ "step": 110
796
+ },
797
+ {
798
+ "epoch": 0.37092731829573933,
799
+ "grad_norm": 1.0138882081963447,
800
+ "learning_rate": 4.8930891807233794e-05,
801
+ "loss": 1.2159,
802
+ "step": 111
803
+ },
804
+ {
805
+ "epoch": 0.3742690058479532,
806
+ "grad_norm": 0.9274261672525066,
807
+ "learning_rate": 4.890452680247305e-05,
808
+ "loss": 1.1519,
809
+ "step": 112
810
+ },
811
+ {
812
+ "epoch": 0.37761069340016706,
813
+ "grad_norm": 1.0636922620211422,
814
+ "learning_rate": 4.887784793391386e-05,
815
+ "loss": 1.1895,
816
+ "step": 113
817
+ },
818
+ {
819
+ "epoch": 0.38095238095238093,
820
+ "grad_norm": 0.9764663835059763,
821
+ "learning_rate": 4.885085555184681e-05,
822
+ "loss": 1.1014,
823
+ "step": 114
824
+ },
825
+ {
826
+ "epoch": 0.3842940685045948,
827
+ "grad_norm": 1.0579986191441333,
828
+ "learning_rate": 4.882355001067892e-05,
829
+ "loss": 1.2347,
830
+ "step": 115
831
+ },
832
+ {
833
+ "epoch": 0.38763575605680867,
834
+ "grad_norm": 0.969263591488447,
835
+ "learning_rate": 4.8795931668928905e-05,
836
+ "loss": 1.1564,
837
+ "step": 116
838
+ },
839
+ {
840
+ "epoch": 0.39097744360902253,
841
+ "grad_norm": 0.9798160234272053,
842
+ "learning_rate": 4.8768000889222565e-05,
843
+ "loss": 1.1676,
844
+ "step": 117
845
+ },
846
+ {
847
+ "epoch": 0.3943191311612364,
848
+ "grad_norm": 1.0434982392991363,
849
+ "learning_rate": 4.8739758038287945e-05,
850
+ "loss": 1.2,
851
+ "step": 118
852
+ },
853
+ {
854
+ "epoch": 0.39766081871345027,
855
+ "grad_norm": 0.9650348846186049,
856
+ "learning_rate": 4.8711203486950565e-05,
857
+ "loss": 1.223,
858
+ "step": 119
859
+ },
860
+ {
861
+ "epoch": 0.40100250626566414,
862
+ "grad_norm": 0.9624246901303686,
863
+ "learning_rate": 4.8682337610128526e-05,
864
+ "loss": 1.1558,
865
+ "step": 120
866
+ },
867
+ {
868
+ "epoch": 0.404344193817878,
869
+ "grad_norm": 1.1488802443868404,
870
+ "learning_rate": 4.8653160786827615e-05,
871
+ "loss": 1.2288,
872
+ "step": 121
873
+ },
874
+ {
875
+ "epoch": 0.4076858813700919,
876
+ "grad_norm": 1.0238637619561288,
877
+ "learning_rate": 4.86236734001363e-05,
878
+ "loss": 1.2327,
879
+ "step": 122
880
+ },
881
+ {
882
+ "epoch": 0.41102756892230574,
883
+ "grad_norm": 1.11719239220642,
884
+ "learning_rate": 4.8593875837220695e-05,
885
+ "loss": 1.1635,
886
+ "step": 123
887
+ },
888
+ {
889
+ "epoch": 0.4143692564745196,
890
+ "grad_norm": 1.009353186551115,
891
+ "learning_rate": 4.8563768489319526e-05,
892
+ "loss": 1.1562,
893
+ "step": 124
894
+ },
895
+ {
896
+ "epoch": 0.4177109440267335,
897
+ "grad_norm": 0.977347992720917,
898
+ "learning_rate": 4.8533351751738953e-05,
899
+ "loss": 1.2481,
900
+ "step": 125
901
+ },
902
+ {
903
+ "epoch": 0.42105263157894735,
904
+ "grad_norm": 0.945296219380299,
905
+ "learning_rate": 4.8502626023847376e-05,
906
+ "loss": 1.2216,
907
+ "step": 126
908
+ },
909
+ {
910
+ "epoch": 0.4243943191311612,
911
+ "grad_norm": 1.0795727186569568,
912
+ "learning_rate": 4.847159170907022e-05,
913
+ "loss": 1.2282,
914
+ "step": 127
915
+ },
916
+ {
917
+ "epoch": 0.4277360066833751,
918
+ "grad_norm": 0.9860989054801752,
919
+ "learning_rate": 4.844024921488459e-05,
920
+ "loss": 1.1639,
921
+ "step": 128
922
+ },
923
+ {
924
+ "epoch": 0.43107769423558895,
925
+ "grad_norm": 1.1401469693168065,
926
+ "learning_rate": 4.8408598952814003e-05,
927
+ "loss": 1.2557,
928
+ "step": 129
929
+ },
930
+ {
931
+ "epoch": 0.4344193817878028,
932
+ "grad_norm": 0.9621929127805111,
933
+ "learning_rate": 4.837664133842289e-05,
934
+ "loss": 1.1059,
935
+ "step": 130
936
+ },
937
+ {
938
+ "epoch": 0.4377610693400167,
939
+ "grad_norm": 1.1183621390483012,
940
+ "learning_rate": 4.834437679131121e-05,
941
+ "loss": 1.1732,
942
+ "step": 131
943
+ },
944
+ {
945
+ "epoch": 0.44110275689223055,
946
+ "grad_norm": 1.0739625747121817,
947
+ "learning_rate": 4.8311805735108894e-05,
948
+ "loss": 1.247,
949
+ "step": 132
950
+ },
951
+ {
952
+ "epoch": 0.4444444444444444,
953
+ "grad_norm": 1.3490735034401256,
954
+ "learning_rate": 4.827892859747033e-05,
955
+ "loss": 1.2512,
956
+ "step": 133
957
+ },
958
+ {
959
+ "epoch": 0.4477861319966583,
960
+ "grad_norm": 1.087730861948047,
961
+ "learning_rate": 4.824574581006869e-05,
962
+ "loss": 1.3701,
963
+ "step": 134
964
+ },
965
+ {
966
+ "epoch": 0.45112781954887216,
967
+ "grad_norm": 0.9963500854374578,
968
+ "learning_rate": 4.821225780859032e-05,
969
+ "loss": 1.2301,
970
+ "step": 135
971
+ },
972
+ {
973
+ "epoch": 0.454469507101086,
974
+ "grad_norm": 1.0799658734382207,
975
+ "learning_rate": 4.817846503272898e-05,
976
+ "loss": 1.1723,
977
+ "step": 136
978
+ },
979
+ {
980
+ "epoch": 0.4578111946532999,
981
+ "grad_norm": 0.990853705689885,
982
+ "learning_rate": 4.814436792618008e-05,
983
+ "loss": 1.137,
984
+ "step": 137
985
+ },
986
+ {
987
+ "epoch": 0.46115288220551376,
988
+ "grad_norm": 1.1057038847113485,
989
+ "learning_rate": 4.810996693663489e-05,
990
+ "loss": 1.2275,
991
+ "step": 138
992
+ },
993
+ {
994
+ "epoch": 0.4644945697577276,
995
+ "grad_norm": 1.060021921008829,
996
+ "learning_rate": 4.807526251577458e-05,
997
+ "loss": 1.1548,
998
+ "step": 139
999
+ },
1000
+ {
1001
+ "epoch": 0.4678362573099415,
1002
+ "grad_norm": 1.0494665197923803,
1003
+ "learning_rate": 4.8040255119264365e-05,
1004
+ "loss": 1.1501,
1005
+ "step": 140
1006
+ },
1007
+ {
1008
+ "epoch": 0.47117794486215536,
1009
+ "grad_norm": 0.9677143325940332,
1010
+ "learning_rate": 4.8004945206747523e-05,
1011
+ "loss": 1.2043,
1012
+ "step": 141
1013
+ },
1014
+ {
1015
+ "epoch": 0.47451963241436923,
1016
+ "grad_norm": 1.1258991580511044,
1017
+ "learning_rate": 4.796933324183928e-05,
1018
+ "loss": 1.2874,
1019
+ "step": 142
1020
+ },
1021
+ {
1022
+ "epoch": 0.4778613199665831,
1023
+ "grad_norm": 1.0606416431046548,
1024
+ "learning_rate": 4.7933419692120816e-05,
1025
+ "loss": 1.2155,
1026
+ "step": 143
1027
+ },
1028
+ {
1029
+ "epoch": 0.48120300751879697,
1030
+ "grad_norm": 1.1260596252923112,
1031
+ "learning_rate": 4.789720502913309e-05,
1032
+ "loss": 1.2343,
1033
+ "step": 144
1034
+ },
1035
+ {
1036
+ "epoch": 0.48454469507101083,
1037
+ "grad_norm": 0.9662307671780914,
1038
+ "learning_rate": 4.78606897283706e-05,
1039
+ "loss": 1.3106,
1040
+ "step": 145
1041
+ },
1042
+ {
1043
+ "epoch": 0.4878863826232247,
1044
+ "grad_norm": 1.120463922826075,
1045
+ "learning_rate": 4.782387426927524e-05,
1046
+ "loss": 1.3122,
1047
+ "step": 146
1048
+ },
1049
+ {
1050
+ "epoch": 0.49122807017543857,
1051
+ "grad_norm": 0.9864203109388633,
1052
+ "learning_rate": 4.7786759135229903e-05,
1053
+ "loss": 1.2048,
1054
+ "step": 147
1055
+ },
1056
+ {
1057
+ "epoch": 0.49456975772765244,
1058
+ "grad_norm": 0.9891356625756446,
1059
+ "learning_rate": 4.774934481355222e-05,
1060
+ "loss": 1.2597,
1061
+ "step": 148
1062
+ },
1063
+ {
1064
+ "epoch": 0.4979114452798663,
1065
+ "grad_norm": 1.024223872892248,
1066
+ "learning_rate": 4.7711631795488096e-05,
1067
+ "loss": 1.1611,
1068
+ "step": 149
1069
+ },
1070
+ {
1071
+ "epoch": 0.5012531328320802,
1072
+ "grad_norm": 0.9945156162486835,
1073
+ "learning_rate": 4.7673620576205294e-05,
1074
+ "loss": 1.2275,
1075
+ "step": 150
1076
+ },
1077
+ {
1078
+ "epoch": 0.5012531328320802,
1079
+ "eval_loss": 1.3914530277252197,
1080
+ "eval_runtime": 51.6906,
1081
+ "eval_samples_per_second": 0.426,
1082
+ "eval_steps_per_second": 0.116,
1083
+ "step": 150
1084
+ },
1085
+ {
1086
+ "epoch": 0.504594820384294,
1087
+ "grad_norm": 0.9560597210744347,
1088
+ "learning_rate": 4.763531165478694e-05,
1089
+ "loss": 1.2391,
1090
+ "step": 151
1091
+ },
1092
+ {
1093
+ "epoch": 0.5079365079365079,
1094
+ "grad_norm": 0.948744365020844,
1095
+ "learning_rate": 4.759670553422493e-05,
1096
+ "loss": 1.1603,
1097
+ "step": 152
1098
+ },
1099
+ {
1100
+ "epoch": 0.5112781954887218,
1101
+ "grad_norm": 1.0551198879801713,
1102
+ "learning_rate": 4.755780272141338e-05,
1103
+ "loss": 1.2125,
1104
+ "step": 153
1105
+ },
1106
+ {
1107
+ "epoch": 0.5146198830409356,
1108
+ "grad_norm": 0.8750586318497058,
1109
+ "learning_rate": 4.751860372714191e-05,
1110
+ "loss": 1.1731,
1111
+ "step": 154
1112
+ },
1113
+ {
1114
+ "epoch": 0.5179615705931495,
1115
+ "grad_norm": 1.0142475214861557,
1116
+ "learning_rate": 4.7479109066089e-05,
1117
+ "loss": 1.2879,
1118
+ "step": 155
1119
+ },
1120
+ {
1121
+ "epoch": 0.5213032581453634,
1122
+ "grad_norm": 0.9748413470244546,
1123
+ "learning_rate": 4.743931925681519e-05,
1124
+ "loss": 1.268,
1125
+ "step": 156
1126
+ },
1127
+ {
1128
+ "epoch": 0.5246449456975772,
1129
+ "grad_norm": 1.0082053632672576,
1130
+ "learning_rate": 4.739923482175628e-05,
1131
+ "loss": 1.2415,
1132
+ "step": 157
1133
+ },
1134
+ {
1135
+ "epoch": 0.5279866332497911,
1136
+ "grad_norm": 0.9644430877325791,
1137
+ "learning_rate": 4.735885628721648e-05,
1138
+ "loss": 1.1902,
1139
+ "step": 158
1140
+ },
1141
+ {
1142
+ "epoch": 0.531328320802005,
1143
+ "grad_norm": 0.9511297910602282,
1144
+ "learning_rate": 4.73181841833615e-05,
1145
+ "loss": 1.3144,
1146
+ "step": 159
1147
+ },
1148
+ {
1149
+ "epoch": 0.5346700083542189,
1150
+ "grad_norm": 0.9441164162609572,
1151
+ "learning_rate": 4.7277219044211556e-05,
1152
+ "loss": 1.1854,
1153
+ "step": 160
1154
+ },
1155
+ {
1156
+ "epoch": 0.5380116959064327,
1157
+ "grad_norm": 0.8932457698431419,
1158
+ "learning_rate": 4.723596140763442e-05,
1159
+ "loss": 1.119,
1160
+ "step": 161
1161
+ },
1162
+ {
1163
+ "epoch": 0.5413533834586466,
1164
+ "grad_norm": 0.9849781123317826,
1165
+ "learning_rate": 4.71944118153383e-05,
1166
+ "loss": 1.1462,
1167
+ "step": 162
1168
+ },
1169
+ {
1170
+ "epoch": 0.5446950710108605,
1171
+ "grad_norm": 1.1331488120142974,
1172
+ "learning_rate": 4.7152570812864754e-05,
1173
+ "loss": 1.2394,
1174
+ "step": 163
1175
+ },
1176
+ {
1177
+ "epoch": 0.5480367585630743,
1178
+ "grad_norm": 0.9196323880752558,
1179
+ "learning_rate": 4.711043894958153e-05,
1180
+ "loss": 1.2024,
1181
+ "step": 164
1182
+ },
1183
+ {
1184
+ "epoch": 0.5513784461152882,
1185
+ "grad_norm": 1.0274558354445025,
1186
+ "learning_rate": 4.706801677867534e-05,
1187
+ "loss": 1.2215,
1188
+ "step": 165
1189
+ },
1190
+ {
1191
+ "epoch": 0.5547201336675021,
1192
+ "grad_norm": 0.9415019585312526,
1193
+ "learning_rate": 4.702530485714461e-05,
1194
+ "loss": 1.2155,
1195
+ "step": 166
1196
+ },
1197
+ {
1198
+ "epoch": 0.5580618212197159,
1199
+ "grad_norm": 0.8502808406712555,
1200
+ "learning_rate": 4.6982303745792155e-05,
1201
+ "loss": 1.1538,
1202
+ "step": 167
1203
+ },
1204
+ {
1205
+ "epoch": 0.5614035087719298,
1206
+ "grad_norm": 0.9941266995251048,
1207
+ "learning_rate": 4.6939014009217816e-05,
1208
+ "loss": 1.1087,
1209
+ "step": 168
1210
+ },
1211
+ {
1212
+ "epoch": 0.5647451963241437,
1213
+ "grad_norm": 0.9822704957931621,
1214
+ "learning_rate": 4.689543621581107e-05,
1215
+ "loss": 1.249,
1216
+ "step": 169
1217
+ },
1218
+ {
1219
+ "epoch": 0.5680868838763575,
1220
+ "grad_norm": 0.970176516153764,
1221
+ "learning_rate": 4.68515709377435e-05,
1222
+ "loss": 1.2191,
1223
+ "step": 170
1224
+ },
1225
+ {
1226
+ "epoch": 0.5714285714285714,
1227
+ "grad_norm": 0.9257237748439777,
1228
+ "learning_rate": 4.680741875096141e-05,
1229
+ "loss": 1.1665,
1230
+ "step": 171
1231
+ },
1232
+ {
1233
+ "epoch": 0.5747702589807853,
1234
+ "grad_norm": 0.9741770014363567,
1235
+ "learning_rate": 4.676298023517811e-05,
1236
+ "loss": 1.2693,
1237
+ "step": 172
1238
+ },
1239
+ {
1240
+ "epoch": 0.5781119465329991,
1241
+ "grad_norm": 0.9190281388578779,
1242
+ "learning_rate": 4.671825597386642e-05,
1243
+ "loss": 1.1128,
1244
+ "step": 173
1245
+ },
1246
+ {
1247
+ "epoch": 0.581453634085213,
1248
+ "grad_norm": 1.0223086002479052,
1249
+ "learning_rate": 4.6673246554250945e-05,
1250
+ "loss": 1.1661,
1251
+ "step": 174
1252
+ },
1253
+ {
1254
+ "epoch": 0.5847953216374269,
1255
+ "grad_norm": 1.0427490752652702,
1256
+ "learning_rate": 4.66279525673004e-05,
1257
+ "loss": 1.2023,
1258
+ "step": 175
1259
+ },
1260
+ {
1261
+ "epoch": 0.5881370091896407,
1262
+ "grad_norm": 0.9465248631048592,
1263
+ "learning_rate": 4.658237460771984e-05,
1264
+ "loss": 1.1683,
1265
+ "step": 176
1266
+ },
1267
+ {
1268
+ "epoch": 0.5914786967418546,
1269
+ "grad_norm": 1.1640631893552786,
1270
+ "learning_rate": 4.653651327394284e-05,
1271
+ "loss": 1.2079,
1272
+ "step": 177
1273
+ },
1274
+ {
1275
+ "epoch": 0.5948203842940685,
1276
+ "grad_norm": 0.9271984872996437,
1277
+ "learning_rate": 4.6490369168123646e-05,
1278
+ "loss": 1.1125,
1279
+ "step": 178
1280
+ },
1281
+ {
1282
+ "epoch": 0.5981620718462823,
1283
+ "grad_norm": 0.9641228986169222,
1284
+ "learning_rate": 4.644394289612928e-05,
1285
+ "loss": 1.1637,
1286
+ "step": 179
1287
+ },
1288
+ {
1289
+ "epoch": 0.6015037593984962,
1290
+ "grad_norm": 0.9782799741609496,
1291
+ "learning_rate": 4.6397235067531564e-05,
1292
+ "loss": 1.2689,
1293
+ "step": 180
1294
+ },
1295
+ {
1296
+ "epoch": 0.6048454469507101,
1297
+ "grad_norm": 1.0763810726777687,
1298
+ "learning_rate": 4.635024629559914e-05,
1299
+ "loss": 1.2241,
1300
+ "step": 181
1301
+ },
1302
+ {
1303
+ "epoch": 0.6081871345029239,
1304
+ "grad_norm": 0.9048533754587863,
1305
+ "learning_rate": 4.630297719728939e-05,
1306
+ "loss": 1.1508,
1307
+ "step": 182
1308
+ },
1309
+ {
1310
+ "epoch": 0.6115288220551378,
1311
+ "grad_norm": 1.0817329026988984,
1312
+ "learning_rate": 4.625542839324036e-05,
1313
+ "loss": 1.2484,
1314
+ "step": 183
1315
+ },
1316
+ {
1317
+ "epoch": 0.6148705096073517,
1318
+ "grad_norm": 0.9479340425567955,
1319
+ "learning_rate": 4.6207600507762595e-05,
1320
+ "loss": 1.1593,
1321
+ "step": 184
1322
+ },
1323
+ {
1324
+ "epoch": 0.6182121971595655,
1325
+ "grad_norm": 0.9468319510477629,
1326
+ "learning_rate": 4.615949416883096e-05,
1327
+ "loss": 1.1732,
1328
+ "step": 185
1329
+ },
1330
+ {
1331
+ "epoch": 0.6215538847117794,
1332
+ "grad_norm": 1.10744893638066,
1333
+ "learning_rate": 4.611111000807637e-05,
1334
+ "loss": 1.2359,
1335
+ "step": 186
1336
+ },
1337
+ {
1338
+ "epoch": 0.6248955722639933,
1339
+ "grad_norm": 1.0229761924680858,
1340
+ "learning_rate": 4.6062448660777517e-05,
1341
+ "loss": 1.1828,
1342
+ "step": 187
1343
+ },
1344
+ {
1345
+ "epoch": 0.6282372598162071,
1346
+ "grad_norm": 0.921578652654033,
1347
+ "learning_rate": 4.601351076585253e-05,
1348
+ "loss": 1.1131,
1349
+ "step": 188
1350
+ },
1351
+ {
1352
+ "epoch": 0.631578947368421,
1353
+ "grad_norm": 0.9644681681801379,
1354
+ "learning_rate": 4.596429696585054e-05,
1355
+ "loss": 1.2319,
1356
+ "step": 189
1357
+ },
1358
+ {
1359
+ "epoch": 0.6349206349206349,
1360
+ "grad_norm": 1.0152012900492065,
1361
+ "learning_rate": 4.591480790694334e-05,
1362
+ "loss": 1.229,
1363
+ "step": 190
1364
+ },
1365
+ {
1366
+ "epoch": 0.6382623224728488,
1367
+ "grad_norm": 1.0332684046723948,
1368
+ "learning_rate": 4.5865044238916785e-05,
1369
+ "loss": 1.2663,
1370
+ "step": 191
1371
+ },
1372
+ {
1373
+ "epoch": 0.6416040100250626,
1374
+ "grad_norm": 0.9861329165286253,
1375
+ "learning_rate": 4.581500661516237e-05,
1376
+ "loss": 1.2411,
1377
+ "step": 192
1378
+ },
1379
+ {
1380
+ "epoch": 0.6449456975772765,
1381
+ "grad_norm": 1.008947869019847,
1382
+ "learning_rate": 4.576469569266856e-05,
1383
+ "loss": 1.1937,
1384
+ "step": 193
1385
+ },
1386
+ {
1387
+ "epoch": 0.6482873851294904,
1388
+ "grad_norm": 1.0351378349442564,
1389
+ "learning_rate": 4.57141121320122e-05,
1390
+ "loss": 1.2424,
1391
+ "step": 194
1392
+ },
1393
+ {
1394
+ "epoch": 0.6516290726817042,
1395
+ "grad_norm": 1.1292027980790191,
1396
+ "learning_rate": 4.5663256597349874e-05,
1397
+ "loss": 1.1868,
1398
+ "step": 195
1399
+ },
1400
+ {
1401
+ "epoch": 0.6549707602339181,
1402
+ "grad_norm": 1.1325783369030435,
1403
+ "learning_rate": 4.561212975640914e-05,
1404
+ "loss": 1.1521,
1405
+ "step": 196
1406
+ },
1407
+ {
1408
+ "epoch": 0.658312447786132,
1409
+ "grad_norm": 1.0325656509927605,
1410
+ "learning_rate": 4.556073228047977e-05,
1411
+ "loss": 1.178,
1412
+ "step": 197
1413
+ },
1414
+ {
1415
+ "epoch": 0.6616541353383458,
1416
+ "grad_norm": 1.1093263598080985,
1417
+ "learning_rate": 4.550906484440495e-05,
1418
+ "loss": 1.1982,
1419
+ "step": 198
1420
+ },
1421
+ {
1422
+ "epoch": 0.6649958228905597,
1423
+ "grad_norm": 1.114711642213788,
1424
+ "learning_rate": 4.5457128126572423e-05,
1425
+ "loss": 1.1487,
1426
+ "step": 199
1427
+ },
1428
+ {
1429
+ "epoch": 0.6683375104427736,
1430
+ "grad_norm": 0.9847883166674106,
1431
+ "learning_rate": 4.540492280890555e-05,
1432
+ "loss": 1.2062,
1433
+ "step": 200
1434
+ },
1435
+ {
1436
+ "epoch": 0.6716791979949874,
1437
+ "grad_norm": 1.1686727604239142,
1438
+ "learning_rate": 4.5352449576854384e-05,
1439
+ "loss": 1.278,
1440
+ "step": 201
1441
+ },
1442
+ {
1443
+ "epoch": 0.6750208855472013,
1444
+ "grad_norm": 1.017923076403849,
1445
+ "learning_rate": 4.529970911938669e-05,
1446
+ "loss": 1.1474,
1447
+ "step": 202
1448
+ },
1449
+ {
1450
+ "epoch": 0.6783625730994152,
1451
+ "grad_norm": 1.040704866427295,
1452
+ "learning_rate": 4.524670212897884e-05,
1453
+ "loss": 1.076,
1454
+ "step": 203
1455
+ },
1456
+ {
1457
+ "epoch": 0.681704260651629,
1458
+ "grad_norm": 1.0235899496431877,
1459
+ "learning_rate": 4.519342930160677e-05,
1460
+ "loss": 1.2,
1461
+ "step": 204
1462
+ },
1463
+ {
1464
+ "epoch": 0.6850459482038429,
1465
+ "grad_norm": 1.0833283292346052,
1466
+ "learning_rate": 4.5139891336736817e-05,
1467
+ "loss": 1.2234,
1468
+ "step": 205
1469
+ },
1470
+ {
1471
+ "epoch": 0.6883876357560568,
1472
+ "grad_norm": 1.0293109987669598,
1473
+ "learning_rate": 4.5086088937316565e-05,
1474
+ "loss": 1.1714,
1475
+ "step": 206
1476
+ },
1477
+ {
1478
+ "epoch": 0.6917293233082706,
1479
+ "grad_norm": 0.931945516283699,
1480
+ "learning_rate": 4.503202280976557e-05,
1481
+ "loss": 1.1223,
1482
+ "step": 207
1483
+ },
1484
+ {
1485
+ "epoch": 0.6950710108604845,
1486
+ "grad_norm": 1.0662949673683302,
1487
+ "learning_rate": 4.4977693663966124e-05,
1488
+ "loss": 1.1281,
1489
+ "step": 208
1490
+ },
1491
+ {
1492
+ "epoch": 0.6984126984126984,
1493
+ "grad_norm": 0.9541479357274659,
1494
+ "learning_rate": 4.492310221325391e-05,
1495
+ "loss": 1.1739,
1496
+ "step": 209
1497
+ },
1498
+ {
1499
+ "epoch": 0.7017543859649122,
1500
+ "grad_norm": 2.071821186380696,
1501
+ "learning_rate": 4.486824917440865e-05,
1502
+ "loss": 1.1923,
1503
+ "step": 210
1504
+ },
1505
+ {
1506
+ "epoch": 0.7050960735171261,
1507
+ "grad_norm": 0.946134090841913,
1508
+ "learning_rate": 4.4813135267644693e-05,
1509
+ "loss": 1.1303,
1510
+ "step": 211
1511
+ },
1512
+ {
1513
+ "epoch": 0.70843776106934,
1514
+ "grad_norm": 0.9842294673980075,
1515
+ "learning_rate": 4.475776121660156e-05,
1516
+ "loss": 1.1622,
1517
+ "step": 212
1518
+ },
1519
+ {
1520
+ "epoch": 0.7117794486215538,
1521
+ "grad_norm": 1.0173127525141705,
1522
+ "learning_rate": 4.4702127748334406e-05,
1523
+ "loss": 1.2342,
1524
+ "step": 213
1525
+ },
1526
+ {
1527
+ "epoch": 0.7151211361737677,
1528
+ "grad_norm": 1.0630978432447922,
1529
+ "learning_rate": 4.464623559330454e-05,
1530
+ "loss": 1.2226,
1531
+ "step": 214
1532
+ },
1533
+ {
1534
+ "epoch": 0.7184628237259816,
1535
+ "grad_norm": 0.8998677964481709,
1536
+ "learning_rate": 4.4590085485369805e-05,
1537
+ "loss": 1.1362,
1538
+ "step": 215
1539
+ },
1540
+ {
1541
+ "epoch": 0.7218045112781954,
1542
+ "grad_norm": 0.9647726772859397,
1543
+ "learning_rate": 4.4533678161774894e-05,
1544
+ "loss": 1.2361,
1545
+ "step": 216
1546
+ },
1547
+ {
1548
+ "epoch": 0.7251461988304093,
1549
+ "grad_norm": 0.9048508500249858,
1550
+ "learning_rate": 4.447701436314176e-05,
1551
+ "loss": 1.2976,
1552
+ "step": 217
1553
+ },
1554
+ {
1555
+ "epoch": 0.7284878863826232,
1556
+ "grad_norm": 1.080255188574221,
1557
+ "learning_rate": 4.4420094833459816e-05,
1558
+ "loss": 1.2975,
1559
+ "step": 218
1560
+ },
1561
+ {
1562
+ "epoch": 0.731829573934837,
1563
+ "grad_norm": 0.9486611908437018,
1564
+ "learning_rate": 4.4362920320076203e-05,
1565
+ "loss": 1.1322,
1566
+ "step": 219
1567
+ },
1568
+ {
1569
+ "epoch": 0.7351712614870509,
1570
+ "grad_norm": 0.89345410355984,
1571
+ "learning_rate": 4.430549157368598e-05,
1572
+ "loss": 1.1604,
1573
+ "step": 220
1574
+ },
1575
+ {
1576
+ "epoch": 0.7385129490392648,
1577
+ "grad_norm": 0.925519861323049,
1578
+ "learning_rate": 4.424780934832223e-05,
1579
+ "loss": 1.1733,
1580
+ "step": 221
1581
+ },
1582
+ {
1583
+ "epoch": 0.7418546365914787,
1584
+ "grad_norm": 0.9646295572099951,
1585
+ "learning_rate": 4.418987440134623e-05,
1586
+ "loss": 1.2468,
1587
+ "step": 222
1588
+ },
1589
+ {
1590
+ "epoch": 0.7451963241436925,
1591
+ "grad_norm": 1.0732651206685428,
1592
+ "learning_rate": 4.4131687493437425e-05,
1593
+ "loss": 1.3618,
1594
+ "step": 223
1595
+ },
1596
+ {
1597
+ "epoch": 0.7485380116959064,
1598
+ "grad_norm": 0.9938198279222078,
1599
+ "learning_rate": 4.407324938858349e-05,
1600
+ "loss": 1.186,
1601
+ "step": 224
1602
+ },
1603
+ {
1604
+ "epoch": 0.7518796992481203,
1605
+ "grad_norm": 0.8479511606829426,
1606
+ "learning_rate": 4.4014560854070294e-05,
1607
+ "loss": 1.1178,
1608
+ "step": 225
1609
+ },
1610
+ {
1611
+ "epoch": 0.7518796992481203,
1612
+ "eval_loss": 1.3396790027618408,
1613
+ "eval_runtime": 51.706,
1614
+ "eval_samples_per_second": 0.425,
1615
+ "eval_steps_per_second": 0.116,
1616
+ "step": 225
1617
+ },
1618
+ {
1619
+ "epoch": 0.7552213868003341,
1620
+ "grad_norm": 1.0263232831005216,
1621
+ "learning_rate": 4.395562266047182e-05,
1622
+ "loss": 1.1985,
1623
+ "step": 226
1624
+ },
1625
+ {
1626
+ "epoch": 0.758563074352548,
1627
+ "grad_norm": 0.8840382430386312,
1628
+ "learning_rate": 4.389643558164005e-05,
1629
+ "loss": 1.2017,
1630
+ "step": 227
1631
+ },
1632
+ {
1633
+ "epoch": 0.7619047619047619,
1634
+ "grad_norm": 0.9118616467182596,
1635
+ "learning_rate": 4.3837000394694796e-05,
1636
+ "loss": 1.192,
1637
+ "step": 228
1638
+ },
1639
+ {
1640
+ "epoch": 0.7652464494569757,
1641
+ "grad_norm": 0.89293130650277,
1642
+ "learning_rate": 4.377731788001349e-05,
1643
+ "loss": 1.1352,
1644
+ "step": 229
1645
+ },
1646
+ {
1647
+ "epoch": 0.7685881370091896,
1648
+ "grad_norm": 0.9807040646828536,
1649
+ "learning_rate": 4.371738882122096e-05,
1650
+ "loss": 1.1844,
1651
+ "step": 230
1652
+ },
1653
+ {
1654
+ "epoch": 0.7719298245614035,
1655
+ "grad_norm": 0.9931440422332504,
1656
+ "learning_rate": 4.365721400517916e-05,
1657
+ "loss": 1.15,
1658
+ "step": 231
1659
+ },
1660
+ {
1661
+ "epoch": 0.7752715121136173,
1662
+ "grad_norm": 1.0024474435465867,
1663
+ "learning_rate": 4.3596794221976754e-05,
1664
+ "loss": 1.2061,
1665
+ "step": 232
1666
+ },
1667
+ {
1668
+ "epoch": 0.7786131996658312,
1669
+ "grad_norm": 1.0199022805752922,
1670
+ "learning_rate": 4.353613026491884e-05,
1671
+ "loss": 1.2361,
1672
+ "step": 233
1673
+ },
1674
+ {
1675
+ "epoch": 0.7819548872180451,
1676
+ "grad_norm": 1.0050111475791503,
1677
+ "learning_rate": 4.347522293051648e-05,
1678
+ "loss": 1.1731,
1679
+ "step": 234
1680
+ },
1681
+ {
1682
+ "epoch": 0.7852965747702589,
1683
+ "grad_norm": 0.9751355856732374,
1684
+ "learning_rate": 4.341407301847625e-05,
1685
+ "loss": 1.0678,
1686
+ "step": 235
1687
+ },
1688
+ {
1689
+ "epoch": 0.7886382623224728,
1690
+ "grad_norm": 0.9149580750612679,
1691
+ "learning_rate": 4.335268133168974e-05,
1692
+ "loss": 1.039,
1693
+ "step": 236
1694
+ },
1695
+ {
1696
+ "epoch": 0.7919799498746867,
1697
+ "grad_norm": 0.96847442090601,
1698
+ "learning_rate": 4.329104867622302e-05,
1699
+ "loss": 1.241,
1700
+ "step": 237
1701
+ },
1702
+ {
1703
+ "epoch": 0.7953216374269005,
1704
+ "grad_norm": 0.9528602038954359,
1705
+ "learning_rate": 4.322917586130607e-05,
1706
+ "loss": 1.1732,
1707
+ "step": 238
1708
+ },
1709
+ {
1710
+ "epoch": 0.7986633249791144,
1711
+ "grad_norm": 0.9877273980590553,
1712
+ "learning_rate": 4.3167063699322105e-05,
1713
+ "loss": 1.1754,
1714
+ "step": 239
1715
+ },
1716
+ {
1717
+ "epoch": 0.8020050125313283,
1718
+ "grad_norm": 0.8682490913678883,
1719
+ "learning_rate": 4.310471300579697e-05,
1720
+ "loss": 1.1168,
1721
+ "step": 240
1722
+ },
1723
+ {
1724
+ "epoch": 0.8053467000835421,
1725
+ "grad_norm": 0.9028917199681886,
1726
+ "learning_rate": 4.304212459938837e-05,
1727
+ "loss": 1.1157,
1728
+ "step": 241
1729
+ },
1730
+ {
1731
+ "epoch": 0.808688387635756,
1732
+ "grad_norm": 0.9101708543226708,
1733
+ "learning_rate": 4.2979299301875184e-05,
1734
+ "loss": 1.1691,
1735
+ "step": 242
1736
+ },
1737
+ {
1738
+ "epoch": 0.8120300751879699,
1739
+ "grad_norm": 0.941286833245439,
1740
+ "learning_rate": 4.291623793814663e-05,
1741
+ "loss": 1.0917,
1742
+ "step": 243
1743
+ },
1744
+ {
1745
+ "epoch": 0.8153717627401837,
1746
+ "grad_norm": 0.9423441770657718,
1747
+ "learning_rate": 4.2852941336191466e-05,
1748
+ "loss": 1.1437,
1749
+ "step": 244
1750
+ },
1751
+ {
1752
+ "epoch": 0.8187134502923976,
1753
+ "grad_norm": 1.0019357611904858,
1754
+ "learning_rate": 4.278941032708707e-05,
1755
+ "loss": 1.2297,
1756
+ "step": 245
1757
+ },
1758
+ {
1759
+ "epoch": 0.8220551378446115,
1760
+ "grad_norm": 0.9134116880628933,
1761
+ "learning_rate": 4.27256457449886e-05,
1762
+ "loss": 1.1763,
1763
+ "step": 246
1764
+ },
1765
+ {
1766
+ "epoch": 0.8253968253968254,
1767
+ "grad_norm": 0.8593707359603224,
1768
+ "learning_rate": 4.266164842711796e-05,
1769
+ "loss": 1.097,
1770
+ "step": 247
1771
+ },
1772
+ {
1773
+ "epoch": 0.8287385129490392,
1774
+ "grad_norm": 0.9830714729124798,
1775
+ "learning_rate": 4.259741921375289e-05,
1776
+ "loss": 1.1476,
1777
+ "step": 248
1778
+ },
1779
+ {
1780
+ "epoch": 0.8320802005012531,
1781
+ "grad_norm": 1.0481652922328473,
1782
+ "learning_rate": 4.253295894821585e-05,
1783
+ "loss": 1.2401,
1784
+ "step": 249
1785
+ },
1786
+ {
1787
+ "epoch": 0.835421888053467,
1788
+ "grad_norm": 0.8568238111856314,
1789
+ "learning_rate": 4.246826847686303e-05,
1790
+ "loss": 1.1432,
1791
+ "step": 250
1792
+ },
1793
+ {
1794
+ "epoch": 0.8387635756056808,
1795
+ "grad_norm": 0.951730861839824,
1796
+ "learning_rate": 4.2403348649073174e-05,
1797
+ "loss": 1.115,
1798
+ "step": 251
1799
+ },
1800
+ {
1801
+ "epoch": 0.8421052631578947,
1802
+ "grad_norm": 1.1229791547441785,
1803
+ "learning_rate": 4.2338200317236445e-05,
1804
+ "loss": 1.2719,
1805
+ "step": 252
1806
+ },
1807
+ {
1808
+ "epoch": 0.8454469507101086,
1809
+ "grad_norm": 0.8979754621416325,
1810
+ "learning_rate": 4.2272824336743266e-05,
1811
+ "loss": 1.1643,
1812
+ "step": 253
1813
+ },
1814
+ {
1815
+ "epoch": 0.8487886382623224,
1816
+ "grad_norm": 1.1038784526628656,
1817
+ "learning_rate": 4.220722156597303e-05,
1818
+ "loss": 1.1755,
1819
+ "step": 254
1820
+ },
1821
+ {
1822
+ "epoch": 0.8521303258145363,
1823
+ "grad_norm": 0.8904169165772989,
1824
+ "learning_rate": 4.214139286628289e-05,
1825
+ "loss": 1.2078,
1826
+ "step": 255
1827
+ },
1828
+ {
1829
+ "epoch": 0.8554720133667502,
1830
+ "grad_norm": 1.0101893594108817,
1831
+ "learning_rate": 4.2075339101996394e-05,
1832
+ "loss": 1.188,
1833
+ "step": 256
1834
+ },
1835
+ {
1836
+ "epoch": 0.858813700918964,
1837
+ "grad_norm": 1.011947430714437,
1838
+ "learning_rate": 4.200906114039219e-05,
1839
+ "loss": 1.1815,
1840
+ "step": 257
1841
+ },
1842
+ {
1843
+ "epoch": 0.8621553884711779,
1844
+ "grad_norm": 1.0113920659899747,
1845
+ "learning_rate": 4.1942559851692586e-05,
1846
+ "loss": 1.1087,
1847
+ "step": 258
1848
+ },
1849
+ {
1850
+ "epoch": 0.8654970760233918,
1851
+ "grad_norm": 0.9436397647208052,
1852
+ "learning_rate": 4.1875836109052166e-05,
1853
+ "loss": 1.2688,
1854
+ "step": 259
1855
+ },
1856
+ {
1857
+ "epoch": 0.8688387635756056,
1858
+ "grad_norm": 0.9538949648911943,
1859
+ "learning_rate": 4.1808890788546316e-05,
1860
+ "loss": 1.1751,
1861
+ "step": 260
1862
+ },
1863
+ {
1864
+ "epoch": 0.8721804511278195,
1865
+ "grad_norm": 0.9935140809640558,
1866
+ "learning_rate": 4.17417247691597e-05,
1867
+ "loss": 1.1957,
1868
+ "step": 261
1869
+ },
1870
+ {
1871
+ "epoch": 0.8755221386800334,
1872
+ "grad_norm": 1.0792620651192726,
1873
+ "learning_rate": 4.1674338932774724e-05,
1874
+ "loss": 1.1847,
1875
+ "step": 262
1876
+ },
1877
+ {
1878
+ "epoch": 0.8788638262322472,
1879
+ "grad_norm": 1.1124795931921556,
1880
+ "learning_rate": 4.160673416416e-05,
1881
+ "loss": 1.1018,
1882
+ "step": 263
1883
+ },
1884
+ {
1885
+ "epoch": 0.8822055137844611,
1886
+ "grad_norm": 0.9002781532445973,
1887
+ "learning_rate": 4.153891135095866e-05,
1888
+ "loss": 1.2307,
1889
+ "step": 264
1890
+ },
1891
+ {
1892
+ "epoch": 0.885547201336675,
1893
+ "grad_norm": 0.9732414915209471,
1894
+ "learning_rate": 4.147087138367678e-05,
1895
+ "loss": 1.1941,
1896
+ "step": 265
1897
+ },
1898
+ {
1899
+ "epoch": 0.8888888888888888,
1900
+ "grad_norm": 1.0519997656823685,
1901
+ "learning_rate": 4.140261515567161e-05,
1902
+ "loss": 1.2149,
1903
+ "step": 266
1904
+ },
1905
+ {
1906
+ "epoch": 0.8922305764411027,
1907
+ "grad_norm": 0.9408286276236255,
1908
+ "learning_rate": 4.133414356313988e-05,
1909
+ "loss": 1.1152,
1910
+ "step": 267
1911
+ },
1912
+ {
1913
+ "epoch": 0.8955722639933166,
1914
+ "grad_norm": 0.852983888206745,
1915
+ "learning_rate": 4.126545750510605e-05,
1916
+ "loss": 1.1358,
1917
+ "step": 268
1918
+ },
1919
+ {
1920
+ "epoch": 0.8989139515455304,
1921
+ "grad_norm": 0.9108913540249899,
1922
+ "learning_rate": 4.119655788341049e-05,
1923
+ "loss": 1.0862,
1924
+ "step": 269
1925
+ },
1926
+ {
1927
+ "epoch": 0.9022556390977443,
1928
+ "grad_norm": 1.0060408412169828,
1929
+ "learning_rate": 4.112744560269761e-05,
1930
+ "loss": 1.1956,
1931
+ "step": 270
1932
+ },
1933
+ {
1934
+ "epoch": 0.9055973266499582,
1935
+ "grad_norm": 0.9488425518665664,
1936
+ "learning_rate": 4.105812157040404e-05,
1937
+ "loss": 1.1394,
1938
+ "step": 271
1939
+ },
1940
+ {
1941
+ "epoch": 0.908939014202172,
1942
+ "grad_norm": 0.9505931035562328,
1943
+ "learning_rate": 4.0988586696746674e-05,
1944
+ "loss": 1.293,
1945
+ "step": 272
1946
+ },
1947
+ {
1948
+ "epoch": 0.9122807017543859,
1949
+ "grad_norm": 0.9683900073885866,
1950
+ "learning_rate": 4.0918841894710715e-05,
1951
+ "loss": 1.2315,
1952
+ "step": 273
1953
+ },
1954
+ {
1955
+ "epoch": 0.9156223893065998,
1956
+ "grad_norm": 1.1528253800969626,
1957
+ "learning_rate": 4.084888808003773e-05,
1958
+ "loss": 1.2716,
1959
+ "step": 274
1960
+ },
1961
+ {
1962
+ "epoch": 0.9189640768588136,
1963
+ "grad_norm": 1.1069496791164177,
1964
+ "learning_rate": 4.0778726171213576e-05,
1965
+ "loss": 1.1983,
1966
+ "step": 275
1967
+ },
1968
+ {
1969
+ "epoch": 0.9223057644110275,
1970
+ "grad_norm": 0.8548083007702836,
1971
+ "learning_rate": 4.070835708945637e-05,
1972
+ "loss": 1.1328,
1973
+ "step": 276
1974
+ },
1975
+ {
1976
+ "epoch": 0.9256474519632414,
1977
+ "grad_norm": 0.9407270915469085,
1978
+ "learning_rate": 4.06377817587044e-05,
1979
+ "loss": 1.0841,
1980
+ "step": 277
1981
+ },
1982
+ {
1983
+ "epoch": 0.9289891395154553,
1984
+ "grad_norm": 0.8954694904440085,
1985
+ "learning_rate": 4.056700110560395e-05,
1986
+ "loss": 1.214,
1987
+ "step": 278
1988
+ },
1989
+ {
1990
+ "epoch": 0.9323308270676691,
1991
+ "grad_norm": 0.8961801390402134,
1992
+ "learning_rate": 4.0496016059497204e-05,
1993
+ "loss": 1.1721,
1994
+ "step": 279
1995
+ },
1996
+ {
1997
+ "epoch": 0.935672514619883,
1998
+ "grad_norm": 0.9760649547793313,
1999
+ "learning_rate": 4.042482755240997e-05,
2000
+ "loss": 1.2666,
2001
+ "step": 280
2002
+ },
2003
+ {
2004
+ "epoch": 0.9390142021720969,
2005
+ "grad_norm": 0.9643787134332955,
2006
+ "learning_rate": 4.035343651903949e-05,
2007
+ "loss": 1.1683,
2008
+ "step": 281
2009
+ },
2010
+ {
2011
+ "epoch": 0.9423558897243107,
2012
+ "grad_norm": 0.9626450895839377,
2013
+ "learning_rate": 4.0281843896742155e-05,
2014
+ "loss": 1.2133,
2015
+ "step": 282
2016
+ },
2017
+ {
2018
+ "epoch": 0.9456975772765246,
2019
+ "grad_norm": 1.2541266295867288,
2020
+ "learning_rate": 4.021005062552119e-05,
2021
+ "loss": 1.3502,
2022
+ "step": 283
2023
+ },
2024
+ {
2025
+ "epoch": 0.9490392648287385,
2026
+ "grad_norm": 1.0881131031114393,
2027
+ "learning_rate": 4.013805764801433e-05,
2028
+ "loss": 1.3208,
2029
+ "step": 284
2030
+ },
2031
+ {
2032
+ "epoch": 0.9523809523809523,
2033
+ "grad_norm": 0.8574920416716059,
2034
+ "learning_rate": 4.0065865909481417e-05,
2035
+ "loss": 1.1393,
2036
+ "step": 285
2037
+ },
2038
+ {
2039
+ "epoch": 0.9557226399331662,
2040
+ "grad_norm": 1.0510895540058778,
2041
+ "learning_rate": 3.9993476357792006e-05,
2042
+ "loss": 1.117,
2043
+ "step": 286
2044
+ },
2045
+ {
2046
+ "epoch": 0.9590643274853801,
2047
+ "grad_norm": 1.1533745861348077,
2048
+ "learning_rate": 3.992088994341292e-05,
2049
+ "loss": 1.2447,
2050
+ "step": 287
2051
+ },
2052
+ {
2053
+ "epoch": 0.9624060150375939,
2054
+ "grad_norm": 1.1105061332917363,
2055
+ "learning_rate": 3.984810761939578e-05,
2056
+ "loss": 1.216,
2057
+ "step": 288
2058
+ },
2059
+ {
2060
+ "epoch": 0.9657477025898078,
2061
+ "grad_norm": 0.9160630967149809,
2062
+ "learning_rate": 3.977513034136446e-05,
2063
+ "loss": 1.1986,
2064
+ "step": 289
2065
+ },
2066
+ {
2067
+ "epoch": 0.9690893901420217,
2068
+ "grad_norm": 0.8445853392627862,
2069
+ "learning_rate": 3.9701959067502564e-05,
2070
+ "loss": 1.1836,
2071
+ "step": 290
2072
+ },
2073
+ {
2074
+ "epoch": 0.9724310776942355,
2075
+ "grad_norm": 1.0668457057222869,
2076
+ "learning_rate": 3.9628594758540846e-05,
2077
+ "loss": 1.2284,
2078
+ "step": 291
2079
+ },
2080
+ {
2081
+ "epoch": 0.9757727652464494,
2082
+ "grad_norm": 0.9615370660038071,
2083
+ "learning_rate": 3.955503837774458e-05,
2084
+ "loss": 1.2016,
2085
+ "step": 292
2086
+ },
2087
+ {
2088
+ "epoch": 0.9791144527986633,
2089
+ "grad_norm": 0.9680542745347342,
2090
+ "learning_rate": 3.948129089090093e-05,
2091
+ "loss": 1.2164,
2092
+ "step": 293
2093
+ },
2094
+ {
2095
+ "epoch": 0.9824561403508771,
2096
+ "grad_norm": 0.9371176041766707,
2097
+ "learning_rate": 3.940735326630626e-05,
2098
+ "loss": 1.1087,
2099
+ "step": 294
2100
+ },
2101
+ {
2102
+ "epoch": 0.985797827903091,
2103
+ "grad_norm": 0.9053132575442242,
2104
+ "learning_rate": 3.933322647475342e-05,
2105
+ "loss": 1.0848,
2106
+ "step": 295
2107
+ },
2108
+ {
2109
+ "epoch": 0.9891395154553049,
2110
+ "grad_norm": 0.9933354429608345,
2111
+ "learning_rate": 3.925891148951899e-05,
2112
+ "loss": 1.2221,
2113
+ "step": 296
2114
+ },
2115
+ {
2116
+ "epoch": 0.9924812030075187,
2117
+ "grad_norm": 0.8955568637463743,
2118
+ "learning_rate": 3.9184409286350535e-05,
2119
+ "loss": 1.2599,
2120
+ "step": 297
2121
+ },
2122
+ {
2123
+ "epoch": 0.9958228905597326,
2124
+ "grad_norm": 0.8938226719609199,
2125
+ "learning_rate": 3.9109720843453756e-05,
2126
+ "loss": 1.0711,
2127
+ "step": 298
2128
+ },
2129
+ {
2130
+ "epoch": 0.9991645781119465,
2131
+ "grad_norm": 0.8770884720680571,
2132
+ "learning_rate": 3.903484714147967e-05,
2133
+ "loss": 1.1786,
2134
+ "step": 299
2135
+ },
2136
+ {
2137
+ "epoch": 1.0033409897682188,
2138
+ "grad_norm": 1.0959093164885338,
2139
+ "learning_rate": 3.895978916351172e-05,
2140
+ "loss": 0.8299,
2141
+ "step": 300
2142
+ },
2143
+ {
2144
+ "epoch": 1.0033409897682188,
2145
+ "eval_loss": 1.3238426446914673,
2146
+ "eval_runtime": 12.4782,
2147
+ "eval_samples_per_second": 1.763,
2148
+ "eval_steps_per_second": 0.481,
2149
+ "step": 300
2150
+ },
2151
+ {
2152
+ "epoch": 1.0066819795364377,
2153
+ "grad_norm": 0.9319113991503899,
2154
+ "learning_rate": 3.8884547895052856e-05,
2155
+ "loss": 0.873,
2156
+ "step": 301
2157
+ },
2158
+ {
2159
+ "epoch": 1.0100229693046565,
2160
+ "grad_norm": 1.009627278160726,
2161
+ "learning_rate": 3.880912432401265e-05,
2162
+ "loss": 0.8983,
2163
+ "step": 302
2164
+ },
2165
+ {
2166
+ "epoch": 1.0133639590728754,
2167
+ "grad_norm": 1.690445986414234,
2168
+ "learning_rate": 3.8733519440694244e-05,
2169
+ "loss": 0.8385,
2170
+ "step": 303
2171
+ },
2172
+ {
2173
+ "epoch": 1.0167049488410942,
2174
+ "grad_norm": 0.875475887556019,
2175
+ "learning_rate": 3.865773423778143e-05,
2176
+ "loss": 0.8192,
2177
+ "step": 304
2178
+ },
2179
+ {
2180
+ "epoch": 1.020045938609313,
2181
+ "grad_norm": 0.9324149051310555,
2182
+ "learning_rate": 3.858176971032555e-05,
2183
+ "loss": 0.8446,
2184
+ "step": 305
2185
+ },
2186
+ {
2187
+ "epoch": 1.0233869283775319,
2188
+ "grad_norm": 1.0045944824797584,
2189
+ "learning_rate": 3.850562685573246e-05,
2190
+ "loss": 0.803,
2191
+ "step": 306
2192
+ },
2193
+ {
2194
+ "epoch": 1.0267279181457507,
2195
+ "grad_norm": 1.0153805270432064,
2196
+ "learning_rate": 3.8429306673749445e-05,
2197
+ "loss": 0.8434,
2198
+ "step": 307
2199
+ },
2200
+ {
2201
+ "epoch": 1.0300689079139695,
2202
+ "grad_norm": 0.8791912191537664,
2203
+ "learning_rate": 3.835281016645206e-05,
2204
+ "loss": 0.8122,
2205
+ "step": 308
2206
+ },
2207
+ {
2208
+ "epoch": 1.0334098976821884,
2209
+ "grad_norm": 0.955967831714635,
2210
+ "learning_rate": 3.8276138338231005e-05,
2211
+ "loss": 0.7475,
2212
+ "step": 309
2213
+ },
2214
+ {
2215
+ "epoch": 1.0367508874504072,
2216
+ "grad_norm": 0.9944877643459474,
2217
+ "learning_rate": 3.819929219577894e-05,
2218
+ "loss": 0.8238,
2219
+ "step": 310
2220
+ },
2221
+ {
2222
+ "epoch": 1.040091877218626,
2223
+ "grad_norm": 0.9143180702052903,
2224
+ "learning_rate": 3.81222727480772e-05,
2225
+ "loss": 0.8181,
2226
+ "step": 311
2227
+ },
2228
+ {
2229
+ "epoch": 1.043432866986845,
2230
+ "grad_norm": 0.8888974597110828,
2231
+ "learning_rate": 3.8045081006382665e-05,
2232
+ "loss": 0.8252,
2233
+ "step": 312
2234
+ },
2235
+ {
2236
+ "epoch": 1.0467738567550637,
2237
+ "grad_norm": 0.8959954834332536,
2238
+ "learning_rate": 3.796771798421437e-05,
2239
+ "loss": 0.805,
2240
+ "step": 313
2241
+ },
2242
+ {
2243
+ "epoch": 1.0501148465232826,
2244
+ "grad_norm": 0.9780665337855439,
2245
+ "learning_rate": 3.7890184697340245e-05,
2246
+ "loss": 0.7892,
2247
+ "step": 314
2248
+ },
2249
+ {
2250
+ "epoch": 1.0534558362915014,
2251
+ "grad_norm": 0.8280051777925341,
2252
+ "learning_rate": 3.781248216376381e-05,
2253
+ "loss": 0.7809,
2254
+ "step": 315
2255
+ },
2256
+ {
2257
+ "epoch": 1.0567968260597203,
2258
+ "grad_norm": 0.8113720404769008,
2259
+ "learning_rate": 3.773461140371074e-05,
2260
+ "loss": 0.7196,
2261
+ "step": 316
2262
+ },
2263
+ {
2264
+ "epoch": 1.060137815827939,
2265
+ "grad_norm": 0.9217003877136911,
2266
+ "learning_rate": 3.765657343961553e-05,
2267
+ "loss": 0.7653,
2268
+ "step": 317
2269
+ },
2270
+ {
2271
+ "epoch": 1.063478805596158,
2272
+ "grad_norm": 0.9202642653400472,
2273
+ "learning_rate": 3.757836929610803e-05,
2274
+ "loss": 0.7139,
2275
+ "step": 318
2276
+ },
2277
+ {
2278
+ "epoch": 1.0668197953643768,
2279
+ "grad_norm": 0.7884990227657028,
2280
+ "learning_rate": 3.7500000000000003e-05,
2281
+ "loss": 0.7358,
2282
+ "step": 319
2283
+ },
2284
+ {
2285
+ "epoch": 1.0701607851325956,
2286
+ "grad_norm": 0.873834596194201,
2287
+ "learning_rate": 3.742146658027167e-05,
2288
+ "loss": 0.8052,
2289
+ "step": 320
2290
+ },
2291
+ {
2292
+ "epoch": 1.0735017749008144,
2293
+ "grad_norm": 0.9067001826221809,
2294
+ "learning_rate": 3.7342770068058164e-05,
2295
+ "loss": 0.701,
2296
+ "step": 321
2297
+ },
2298
+ {
2299
+ "epoch": 1.0768427646690333,
2300
+ "grad_norm": 0.9066644745305507,
2301
+ "learning_rate": 3.7263911496636e-05,
2302
+ "loss": 0.8394,
2303
+ "step": 322
2304
+ },
2305
+ {
2306
+ "epoch": 1.0801837544372521,
2307
+ "grad_norm": 0.8415263526204737,
2308
+ "learning_rate": 3.7184891901409514e-05,
2309
+ "loss": 0.7271,
2310
+ "step": 323
2311
+ },
2312
+ {
2313
+ "epoch": 1.083524744205471,
2314
+ "grad_norm": 0.8351330407440325,
2315
+ "learning_rate": 3.7105712319897265e-05,
2316
+ "loss": 0.7699,
2317
+ "step": 324
2318
+ },
2319
+ {
2320
+ "epoch": 1.0868657339736898,
2321
+ "grad_norm": 0.9309652326420155,
2322
+ "learning_rate": 3.702637379171844e-05,
2323
+ "loss": 0.7845,
2324
+ "step": 325
2325
+ },
2326
+ {
2327
+ "epoch": 1.0902067237419086,
2328
+ "grad_norm": 0.8587868162529135,
2329
+ "learning_rate": 3.6946877358579134e-05,
2330
+ "loss": 0.6677,
2331
+ "step": 326
2332
+ },
2333
+ {
2334
+ "epoch": 1.0935477135101275,
2335
+ "grad_norm": 0.8257599053579875,
2336
+ "learning_rate": 3.6867224064258756e-05,
2337
+ "loss": 0.7815,
2338
+ "step": 327
2339
+ },
2340
+ {
2341
+ "epoch": 1.0968887032783463,
2342
+ "grad_norm": 0.9624273655367953,
2343
+ "learning_rate": 3.6787414954596256e-05,
2344
+ "loss": 0.7897,
2345
+ "step": 328
2346
+ },
2347
+ {
2348
+ "epoch": 1.1002296930465651,
2349
+ "grad_norm": 0.944493059699902,
2350
+ "learning_rate": 3.670745107747644e-05,
2351
+ "loss": 0.7673,
2352
+ "step": 329
2353
+ },
2354
+ {
2355
+ "epoch": 1.1035706828147838,
2356
+ "grad_norm": 0.929080034116846,
2357
+ "learning_rate": 3.662733348281619e-05,
2358
+ "loss": 0.7693,
2359
+ "step": 330
2360
+ },
2361
+ {
2362
+ "epoch": 1.1069116725830028,
2363
+ "grad_norm": 0.8423316920482857,
2364
+ "learning_rate": 3.6547063222550677e-05,
2365
+ "loss": 0.7417,
2366
+ "step": 331
2367
+ },
2368
+ {
2369
+ "epoch": 1.1102526623512214,
2370
+ "grad_norm": 0.8264975113942978,
2371
+ "learning_rate": 3.6466641350619564e-05,
2372
+ "loss": 0.7395,
2373
+ "step": 332
2374
+ },
2375
+ {
2376
+ "epoch": 1.1135936521194403,
2377
+ "grad_norm": 0.8707111741842398,
2378
+ "learning_rate": 3.638606892295315e-05,
2379
+ "loss": 0.7883,
2380
+ "step": 333
2381
+ },
2382
+ {
2383
+ "epoch": 1.1169346418876591,
2384
+ "grad_norm": 0.9052159861563299,
2385
+ "learning_rate": 3.6305346997458516e-05,
2386
+ "loss": 0.8919,
2387
+ "step": 334
2388
+ },
2389
+ {
2390
+ "epoch": 1.120275631655878,
2391
+ "grad_norm": 0.9463481966173595,
2392
+ "learning_rate": 3.622447663400563e-05,
2393
+ "loss": 0.8503,
2394
+ "step": 335
2395
+ },
2396
+ {
2397
+ "epoch": 1.1236166214240968,
2398
+ "grad_norm": 0.9451500816645809,
2399
+ "learning_rate": 3.6143458894413465e-05,
2400
+ "loss": 0.8774,
2401
+ "step": 336
2402
+ },
2403
+ {
2404
+ "epoch": 1.1269576111923156,
2405
+ "grad_norm": 0.8932849188786636,
2406
+ "learning_rate": 3.6062294842435956e-05,
2407
+ "loss": 0.7277,
2408
+ "step": 337
2409
+ },
2410
+ {
2411
+ "epoch": 1.1302986009605345,
2412
+ "grad_norm": 1.030017477004491,
2413
+ "learning_rate": 3.598098554374818e-05,
2414
+ "loss": 0.774,
2415
+ "step": 338
2416
+ },
2417
+ {
2418
+ "epoch": 1.1336395907287533,
2419
+ "grad_norm": 0.7852586071022029,
2420
+ "learning_rate": 3.5899532065932237e-05,
2421
+ "loss": 0.6738,
2422
+ "step": 339
2423
+ },
2424
+ {
2425
+ "epoch": 1.1369805804969721,
2426
+ "grad_norm": 0.944466415954939,
2427
+ "learning_rate": 3.58179354784633e-05,
2428
+ "loss": 0.6996,
2429
+ "step": 340
2430
+ },
2431
+ {
2432
+ "epoch": 1.140321570265191,
2433
+ "grad_norm": 0.8970982702078042,
2434
+ "learning_rate": 3.573619685269558e-05,
2435
+ "loss": 0.7989,
2436
+ "step": 341
2437
+ },
2438
+ {
2439
+ "epoch": 1.1436625600334098,
2440
+ "grad_norm": 0.8249224078826434,
2441
+ "learning_rate": 3.565431726184818e-05,
2442
+ "loss": 0.8146,
2443
+ "step": 342
2444
+ },
2445
+ {
2446
+ "epoch": 1.1470035498016287,
2447
+ "grad_norm": 0.8736887097571207,
2448
+ "learning_rate": 3.5572297780991106e-05,
2449
+ "loss": 0.6896,
2450
+ "step": 343
2451
+ },
2452
+ {
2453
+ "epoch": 1.1503445395698475,
2454
+ "grad_norm": 0.857438817771035,
2455
+ "learning_rate": 3.549013948703109e-05,
2456
+ "loss": 0.7344,
2457
+ "step": 344
2458
+ },
2459
+ {
2460
+ "epoch": 1.1536855293380663,
2461
+ "grad_norm": 0.8839080957163322,
2462
+ "learning_rate": 3.540784345869746e-05,
2463
+ "loss": 0.7072,
2464
+ "step": 345
2465
+ },
2466
+ {
2467
+ "epoch": 1.1570265191062852,
2468
+ "grad_norm": 0.8446516748750675,
2469
+ "learning_rate": 3.532541077652799e-05,
2470
+ "loss": 0.7722,
2471
+ "step": 346
2472
+ },
2473
+ {
2474
+ "epoch": 1.160367508874504,
2475
+ "grad_norm": 0.8988293368576468,
2476
+ "learning_rate": 3.5242842522854684e-05,
2477
+ "loss": 0.7905,
2478
+ "step": 347
2479
+ },
2480
+ {
2481
+ "epoch": 1.1637084986427229,
2482
+ "grad_norm": 0.8436031700001987,
2483
+ "learning_rate": 3.5160139781789613e-05,
2484
+ "loss": 0.8744,
2485
+ "step": 348
2486
+ },
2487
+ {
2488
+ "epoch": 1.1670494884109417,
2489
+ "grad_norm": 0.8742548462166777,
2490
+ "learning_rate": 3.5077303639210634e-05,
2491
+ "loss": 0.8624,
2492
+ "step": 349
2493
+ },
2494
+ {
2495
+ "epoch": 1.1703904781791605,
2496
+ "grad_norm": 0.8368319574075729,
2497
+ "learning_rate": 3.4994335182747156e-05,
2498
+ "loss": 0.8075,
2499
+ "step": 350
2500
+ },
2501
+ {
2502
+ "epoch": 1.1737314679473794,
2503
+ "grad_norm": 0.8431099635101353,
2504
+ "learning_rate": 3.491123550176586e-05,
2505
+ "loss": 0.7896,
2506
+ "step": 351
2507
+ },
2508
+ {
2509
+ "epoch": 1.1770724577155982,
2510
+ "grad_norm": 0.839463461544109,
2511
+ "learning_rate": 3.482800568735638e-05,
2512
+ "loss": 0.7758,
2513
+ "step": 352
2514
+ },
2515
+ {
2516
+ "epoch": 1.180413447483817,
2517
+ "grad_norm": 0.8166956510001087,
2518
+ "learning_rate": 3.474464683231698e-05,
2519
+ "loss": 0.7709,
2520
+ "step": 353
2521
+ },
2522
+ {
2523
+ "epoch": 1.1837544372520359,
2524
+ "grad_norm": 0.7527108106347021,
2525
+ "learning_rate": 3.4661160031140255e-05,
2526
+ "loss": 0.6954,
2527
+ "step": 354
2528
+ },
2529
+ {
2530
+ "epoch": 1.1870954270202547,
2531
+ "grad_norm": 0.8885535896061523,
2532
+ "learning_rate": 3.457754637999866e-05,
2533
+ "loss": 0.7933,
2534
+ "step": 355
2535
+ },
2536
+ {
2537
+ "epoch": 1.1904364167884736,
2538
+ "grad_norm": 0.7911211400323862,
2539
+ "learning_rate": 3.4493806976730234e-05,
2540
+ "loss": 0.7348,
2541
+ "step": 356
2542
+ },
2543
+ {
2544
+ "epoch": 1.1937774065566924,
2545
+ "grad_norm": 0.7941043129924138,
2546
+ "learning_rate": 3.440994292082408e-05,
2547
+ "loss": 0.7433,
2548
+ "step": 357
2549
+ },
2550
+ {
2551
+ "epoch": 1.1971183963249112,
2552
+ "grad_norm": 0.8629346749835708,
2553
+ "learning_rate": 3.432595531340599e-05,
2554
+ "loss": 0.7691,
2555
+ "step": 358
2556
+ },
2557
+ {
2558
+ "epoch": 1.20045938609313,
2559
+ "grad_norm": 0.8076399504870541,
2560
+ "learning_rate": 3.4241845257223995e-05,
2561
+ "loss": 0.8387,
2562
+ "step": 359
2563
+ },
2564
+ {
2565
+ "epoch": 1.203800375861349,
2566
+ "grad_norm": 0.8363534638021144,
2567
+ "learning_rate": 3.4157613856633844e-05,
2568
+ "loss": 0.7795,
2569
+ "step": 360
2570
+ },
2571
+ {
2572
+ "epoch": 1.2071413656295678,
2573
+ "grad_norm": 0.8323776244098587,
2574
+ "learning_rate": 3.4073262217584537e-05,
2575
+ "loss": 0.7621,
2576
+ "step": 361
2577
+ },
2578
+ {
2579
+ "epoch": 1.2104823553977866,
2580
+ "grad_norm": 0.8631318606885842,
2581
+ "learning_rate": 3.3988791447603764e-05,
2582
+ "loss": 0.7262,
2583
+ "step": 362
2584
+ },
2585
+ {
2586
+ "epoch": 1.2138233451660054,
2587
+ "grad_norm": 0.8650278683291232,
2588
+ "learning_rate": 3.390420265578342e-05,
2589
+ "loss": 0.7156,
2590
+ "step": 363
2591
+ },
2592
+ {
2593
+ "epoch": 1.2171643349342243,
2594
+ "grad_norm": 0.8210135985421421,
2595
+ "learning_rate": 3.381949695276502e-05,
2596
+ "loss": 0.8695,
2597
+ "step": 364
2598
+ },
2599
+ {
2600
+ "epoch": 1.220505324702443,
2601
+ "grad_norm": 0.9816959338758507,
2602
+ "learning_rate": 3.3734675450725075e-05,
2603
+ "loss": 0.8165,
2604
+ "step": 365
2605
+ },
2606
+ {
2607
+ "epoch": 1.223846314470662,
2608
+ "grad_norm": 0.8740711622449979,
2609
+ "learning_rate": 3.364973926336057e-05,
2610
+ "loss": 0.7659,
2611
+ "step": 366
2612
+ },
2613
+ {
2614
+ "epoch": 1.2271873042388808,
2615
+ "grad_norm": 0.7673070294593356,
2616
+ "learning_rate": 3.3564689505874236e-05,
2617
+ "loss": 0.7436,
2618
+ "step": 367
2619
+ },
2620
+ {
2621
+ "epoch": 1.2305282940070996,
2622
+ "grad_norm": 0.7912430037723751,
2623
+ "learning_rate": 3.347952729496003e-05,
2624
+ "loss": 0.6968,
2625
+ "step": 368
2626
+ },
2627
+ {
2628
+ "epoch": 1.2338692837753185,
2629
+ "grad_norm": 0.7941923934515878,
2630
+ "learning_rate": 3.3394253748788365e-05,
2631
+ "loss": 0.8381,
2632
+ "step": 369
2633
+ },
2634
+ {
2635
+ "epoch": 1.2372102735435373,
2636
+ "grad_norm": 0.814356027770181,
2637
+ "learning_rate": 3.330886998699149e-05,
2638
+ "loss": 0.7719,
2639
+ "step": 370
2640
+ },
2641
+ {
2642
+ "epoch": 1.2405512633117561,
2643
+ "grad_norm": 0.8646739914125222,
2644
+ "learning_rate": 3.322337713064879e-05,
2645
+ "loss": 0.7815,
2646
+ "step": 371
2647
+ },
2648
+ {
2649
+ "epoch": 1.243892253079975,
2650
+ "grad_norm": 0.8622517062146566,
2651
+ "learning_rate": 3.3137776302272016e-05,
2652
+ "loss": 0.8027,
2653
+ "step": 372
2654
+ },
2655
+ {
2656
+ "epoch": 1.2472332428481938,
2657
+ "grad_norm": 0.9524256434298602,
2658
+ "learning_rate": 3.3052068625790605e-05,
2659
+ "loss": 0.8201,
2660
+ "step": 373
2661
+ },
2662
+ {
2663
+ "epoch": 1.2505742326164127,
2664
+ "grad_norm": 0.8916856370400298,
2665
+ "learning_rate": 3.296625522653688e-05,
2666
+ "loss": 0.7923,
2667
+ "step": 374
2668
+ },
2669
+ {
2670
+ "epoch": 1.2539152223846315,
2671
+ "grad_norm": 0.8558222972029906,
2672
+ "learning_rate": 3.288033723123131e-05,
2673
+ "loss": 0.7559,
2674
+ "step": 375
2675
+ },
2676
+ {
2677
+ "epoch": 1.2539152223846315,
2678
+ "eval_loss": 1.369796633720398,
2679
+ "eval_runtime": 12.5778,
2680
+ "eval_samples_per_second": 1.749,
2681
+ "eval_steps_per_second": 0.477,
2682
+ "step": 375
2683
+ }
2684
+ ],
2685
+ "logging_steps": 1,
2686
+ "max_steps": 897,
2687
+ "num_input_tokens_seen": 0,
2688
+ "num_train_epochs": 3,
2689
+ "save_steps": 75,
2690
+ "stateful_callbacks": {
2691
+ "TrainerControl": {
2692
+ "args": {
2693
+ "should_epoch_stop": false,
2694
+ "should_evaluate": false,
2695
+ "should_log": false,
2696
+ "should_save": true,
2697
+ "should_training_stop": false
2698
+ },
2699
+ "attributes": {}
2700
+ }
2701
+ },
2702
+ "total_flos": 1.507791558504612e+17,
2703
+ "train_batch_size": 1,
2704
+ "trial_name": null,
2705
+ "trial_params": null
2706
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6363c7fd4076c12a13237ed928a81c0f0e0926a93b924a6150ecfa586806eb92
3
+ size 7992
vocab.json ADDED
The diff for this file is too large to render. See raw diff