SimuIation
commited on
Upload folder using huggingface_hub
Browse files- checkpoint-1080/config.json +39 -0
- checkpoint-1080/generation_config.json +6 -0
- checkpoint-1080/model.safetensors +3 -0
- checkpoint-1080/optimizer.pt +3 -0
- checkpoint-1080/rng_state.pth +3 -0
- checkpoint-1080/scheduler.pt +3 -0
- checkpoint-1080/trainer_state.json +633 -0
- checkpoint-1080/training_args.bin +3 -0
- config.json +39 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer_config.json +22 -0
- vocab.json +0 -0
checkpoint-1080/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "gpt2",
|
3 |
+
"activation_function": "gelu_new",
|
4 |
+
"architectures": [
|
5 |
+
"GPT2LMHeadModel"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.1,
|
8 |
+
"bos_token_id": 50256,
|
9 |
+
"embd_pdrop": 0.1,
|
10 |
+
"eos_token_id": 50256,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"layer_norm_epsilon": 1e-05,
|
13 |
+
"model_type": "gpt2",
|
14 |
+
"n_ctx": 1024,
|
15 |
+
"n_embd": 768,
|
16 |
+
"n_head": 12,
|
17 |
+
"n_inner": null,
|
18 |
+
"n_layer": 12,
|
19 |
+
"n_positions": 1024,
|
20 |
+
"reorder_and_upcast_attn": false,
|
21 |
+
"resid_pdrop": 0.1,
|
22 |
+
"scale_attn_by_inverse_layer_idx": false,
|
23 |
+
"scale_attn_weights": true,
|
24 |
+
"summary_activation": null,
|
25 |
+
"summary_first_dropout": 0.1,
|
26 |
+
"summary_proj_to_labels": true,
|
27 |
+
"summary_type": "cls_index",
|
28 |
+
"summary_use_proj": true,
|
29 |
+
"task_specific_params": {
|
30 |
+
"text-generation": {
|
31 |
+
"do_sample": true,
|
32 |
+
"max_length": 50
|
33 |
+
}
|
34 |
+
},
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.41.2",
|
37 |
+
"use_cache": true,
|
38 |
+
"vocab_size": 50257
|
39 |
+
}
|
checkpoint-1080/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 50256,
|
4 |
+
"eos_token_id": 50256,
|
5 |
+
"transformers_version": "4.41.2"
|
6 |
+
}
|
checkpoint-1080/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8d22586f32398abba71287fc9fbd27f68a106fb4da5a21da85e439f4ea68d69
|
3 |
+
size 497774208
|
checkpoint-1080/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8edcb57babe79aa1e063b9c16387aa7ebed4e6897e63f0b3c4ba6ad1a9a1612f
|
3 |
+
size 995642298
|
checkpoint-1080/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:79779268804a95867176b02165dcf4317af5dbf20937682f497d224c91733bf4
|
3 |
+
size 14244
|
checkpoint-1080/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:143a5b3812f11a0ce92f4896d57f598a2f196c87d5b52f7101c582a4b86122c2
|
3 |
+
size 1064
|
checkpoint-1080/trainer_state.json
ADDED
@@ -0,0 +1,633 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 30.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1080,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"grad_norm": 6.0880818367004395,
|
14 |
+
"learning_rate": 3.6e-05,
|
15 |
+
"loss": 3.2849,
|
16 |
+
"step": 36
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_accuracy": 0.010123239436619719,
|
21 |
+
"eval_bleu": 0.10518697359828132,
|
22 |
+
"eval_f1": 0.010153581748448041,
|
23 |
+
"eval_loss": 2.6219797134399414,
|
24 |
+
"eval_precision": 0.010202794685557478,
|
25 |
+
"eval_recall": 0.010123239436619719,
|
26 |
+
"eval_runtime": 6.2453,
|
27 |
+
"eval_samples_per_second": 22.737,
|
28 |
+
"eval_steps_per_second": 2.882,
|
29 |
+
"step": 36
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"grad_norm": 6.915263652801514,
|
34 |
+
"learning_rate": 4.893203883495146e-05,
|
35 |
+
"loss": 2.2637,
|
36 |
+
"step": 72
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 2.0,
|
40 |
+
"eval_accuracy": 0.01248899647887324,
|
41 |
+
"eval_bleu": 0.13792868891001447,
|
42 |
+
"eval_f1": 0.010680838430589857,
|
43 |
+
"eval_loss": 2.017970561981201,
|
44 |
+
"eval_precision": 0.009509030569956453,
|
45 |
+
"eval_recall": 0.012488996478873238,
|
46 |
+
"eval_runtime": 7.0653,
|
47 |
+
"eval_samples_per_second": 20.098,
|
48 |
+
"eval_steps_per_second": 2.548,
|
49 |
+
"step": 72
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 3.0,
|
53 |
+
"grad_norm": 7.544444561004639,
|
54 |
+
"learning_rate": 4.718446601941748e-05,
|
55 |
+
"loss": 1.789,
|
56 |
+
"step": 108
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 3.0,
|
60 |
+
"eval_accuracy": 0.012654049295774648,
|
61 |
+
"eval_bleu": 0.17566093139607744,
|
62 |
+
"eval_f1": 0.011466852239797607,
|
63 |
+
"eval_loss": 1.7966645956039429,
|
64 |
+
"eval_precision": 0.01049697288064746,
|
65 |
+
"eval_recall": 0.012654049295774647,
|
66 |
+
"eval_runtime": 6.0435,
|
67 |
+
"eval_samples_per_second": 23.496,
|
68 |
+
"eval_steps_per_second": 2.978,
|
69 |
+
"step": 108
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 4.0,
|
73 |
+
"grad_norm": 6.955804347991943,
|
74 |
+
"learning_rate": 4.543689320388349e-05,
|
75 |
+
"loss": 1.5522,
|
76 |
+
"step": 144
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 4.0,
|
80 |
+
"eval_accuracy": 0.012378961267605635,
|
81 |
+
"eval_bleu": 0.20413318737157596,
|
82 |
+
"eval_f1": 0.011132478900133054,
|
83 |
+
"eval_loss": 1.6657302379608154,
|
84 |
+
"eval_precision": 0.010120661403149588,
|
85 |
+
"eval_recall": 0.012378961267605633,
|
86 |
+
"eval_runtime": 6.1905,
|
87 |
+
"eval_samples_per_second": 22.938,
|
88 |
+
"eval_steps_per_second": 2.908,
|
89 |
+
"step": 144
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 5.0,
|
93 |
+
"grad_norm": 7.229798793792725,
|
94 |
+
"learning_rate": 4.368932038834951e-05,
|
95 |
+
"loss": 1.3885,
|
96 |
+
"step": 180
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 5.0,
|
100 |
+
"eval_accuracy": 0.012378961267605635,
|
101 |
+
"eval_bleu": 0.2305940937780942,
|
102 |
+
"eval_f1": 0.011073979352246164,
|
103 |
+
"eval_loss": 1.5827170610427856,
|
104 |
+
"eval_precision": 0.010022195626080541,
|
105 |
+
"eval_recall": 0.012378961267605633,
|
106 |
+
"eval_runtime": 6.9109,
|
107 |
+
"eval_samples_per_second": 20.547,
|
108 |
+
"eval_steps_per_second": 2.605,
|
109 |
+
"step": 180
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 6.0,
|
113 |
+
"grad_norm": 6.714682102203369,
|
114 |
+
"learning_rate": 4.194174757281554e-05,
|
115 |
+
"loss": 1.2561,
|
116 |
+
"step": 216
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 6.0,
|
120 |
+
"eval_accuracy": 0.012268926056338027,
|
121 |
+
"eval_bleu": 0.25012821385731565,
|
122 |
+
"eval_f1": 0.01143102719262594,
|
123 |
+
"eval_loss": 1.5294432640075684,
|
124 |
+
"eval_precision": 0.010707247710344536,
|
125 |
+
"eval_recall": 0.012268926056338027,
|
126 |
+
"eval_runtime": 6.5697,
|
127 |
+
"eval_samples_per_second": 21.614,
|
128 |
+
"eval_steps_per_second": 2.74,
|
129 |
+
"step": 216
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 7.0,
|
133 |
+
"grad_norm": 6.063908100128174,
|
134 |
+
"learning_rate": 4.019417475728156e-05,
|
135 |
+
"loss": 1.1466,
|
136 |
+
"step": 252
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 7.0,
|
140 |
+
"eval_accuracy": 0.012268926056338027,
|
141 |
+
"eval_bleu": 0.2719546447213355,
|
142 |
+
"eval_f1": 0.01116903184495446,
|
143 |
+
"eval_loss": 1.4926397800445557,
|
144 |
+
"eval_precision": 0.010253161244814542,
|
145 |
+
"eval_recall": 0.012268926056338027,
|
146 |
+
"eval_runtime": 6.4161,
|
147 |
+
"eval_samples_per_second": 22.132,
|
148 |
+
"eval_steps_per_second": 2.805,
|
149 |
+
"step": 252
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 8.0,
|
153 |
+
"grad_norm": 6.155008316040039,
|
154 |
+
"learning_rate": 3.844660194174757e-05,
|
155 |
+
"loss": 1.0616,
|
156 |
+
"step": 288
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 8.0,
|
160 |
+
"eval_accuracy": 0.012378961267605635,
|
161 |
+
"eval_bleu": 0.28742380325292655,
|
162 |
+
"eval_f1": 0.01144092667248244,
|
163 |
+
"eval_loss": 1.4650629758834839,
|
164 |
+
"eval_precision": 0.010640060069611993,
|
165 |
+
"eval_recall": 0.012378961267605633,
|
166 |
+
"eval_runtime": 6.3235,
|
167 |
+
"eval_samples_per_second": 22.456,
|
168 |
+
"eval_steps_per_second": 2.847,
|
169 |
+
"step": 288
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 9.0,
|
173 |
+
"grad_norm": 5.874176979064941,
|
174 |
+
"learning_rate": 3.6699029126213596e-05,
|
175 |
+
"loss": 0.9821,
|
176 |
+
"step": 324
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 9.0,
|
180 |
+
"eval_accuracy": 0.012268926056338027,
|
181 |
+
"eval_bleu": 0.30478814512361185,
|
182 |
+
"eval_f1": 0.011331946253740536,
|
183 |
+
"eval_loss": 1.4492626190185547,
|
184 |
+
"eval_precision": 0.010531151474565863,
|
185 |
+
"eval_recall": 0.012268926056338027,
|
186 |
+
"eval_runtime": 6.2565,
|
187 |
+
"eval_samples_per_second": 22.696,
|
188 |
+
"eval_steps_per_second": 2.877,
|
189 |
+
"step": 324
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 10.0,
|
193 |
+
"grad_norm": 5.705406665802002,
|
194 |
+
"learning_rate": 3.4951456310679615e-05,
|
195 |
+
"loss": 0.9071,
|
196 |
+
"step": 360
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 10.0,
|
200 |
+
"eval_accuracy": 0.012268926056338027,
|
201 |
+
"eval_bleu": 0.3250108739654091,
|
202 |
+
"eval_f1": 0.011214281037053235,
|
203 |
+
"eval_loss": 1.4369895458221436,
|
204 |
+
"eval_precision": 0.010327542425543311,
|
205 |
+
"eval_recall": 0.012268926056338027,
|
206 |
+
"eval_runtime": 6.1165,
|
207 |
+
"eval_samples_per_second": 23.216,
|
208 |
+
"eval_steps_per_second": 2.943,
|
209 |
+
"step": 360
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 11.0,
|
213 |
+
"grad_norm": 5.345541000366211,
|
214 |
+
"learning_rate": 3.3203883495145634e-05,
|
215 |
+
"loss": 0.8445,
|
216 |
+
"step": 396
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 11.0,
|
220 |
+
"eval_accuracy": 0.012268926056338027,
|
221 |
+
"eval_bleu": 0.32825465058506376,
|
222 |
+
"eval_f1": 0.011419929314754076,
|
223 |
+
"eval_loss": 1.4337056875228882,
|
224 |
+
"eval_precision": 0.010683679060359908,
|
225 |
+
"eval_recall": 0.012268926056338027,
|
226 |
+
"eval_runtime": 6.9862,
|
227 |
+
"eval_samples_per_second": 20.326,
|
228 |
+
"eval_steps_per_second": 2.577,
|
229 |
+
"step": 396
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 12.0,
|
233 |
+
"grad_norm": 4.928064346313477,
|
234 |
+
"learning_rate": 3.145631067961165e-05,
|
235 |
+
"loss": 0.7869,
|
236 |
+
"step": 432
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 12.0,
|
240 |
+
"eval_accuracy": 0.012268926056338027,
|
241 |
+
"eval_bleu": 0.34315751189373966,
|
242 |
+
"eval_f1": 0.011425905613358798,
|
243 |
+
"eval_loss": 1.431230902671814,
|
244 |
+
"eval_precision": 0.010692912514740159,
|
245 |
+
"eval_recall": 0.012268926056338027,
|
246 |
+
"eval_runtime": 6.3375,
|
247 |
+
"eval_samples_per_second": 22.406,
|
248 |
+
"eval_steps_per_second": 2.84,
|
249 |
+
"step": 432
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 13.0,
|
253 |
+
"grad_norm": 4.787758827209473,
|
254 |
+
"learning_rate": 2.9708737864077673e-05,
|
255 |
+
"loss": 0.7388,
|
256 |
+
"step": 468
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 13.0,
|
260 |
+
"eval_accuracy": 0.012268926056338027,
|
261 |
+
"eval_bleu": 0.3506530097105922,
|
262 |
+
"eval_f1": 0.011567695105672023,
|
263 |
+
"eval_loss": 1.432782530784607,
|
264 |
+
"eval_precision": 0.010942929955906473,
|
265 |
+
"eval_recall": 0.012268926056338027,
|
266 |
+
"eval_runtime": 6.6203,
|
267 |
+
"eval_samples_per_second": 21.449,
|
268 |
+
"eval_steps_per_second": 2.719,
|
269 |
+
"step": 468
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 14.0,
|
273 |
+
"grad_norm": 4.721966743469238,
|
274 |
+
"learning_rate": 2.7961165048543692e-05,
|
275 |
+
"loss": 0.6948,
|
276 |
+
"step": 504
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 14.0,
|
280 |
+
"eval_accuracy": 0.012268926056338027,
|
281 |
+
"eval_bleu": 0.36203576750790184,
|
282 |
+
"eval_f1": 0.011535961695115268,
|
283 |
+
"eval_loss": 1.4401381015777588,
|
284 |
+
"eval_precision": 0.010887377543860504,
|
285 |
+
"eval_recall": 0.012268926056338027,
|
286 |
+
"eval_runtime": 6.8054,
|
287 |
+
"eval_samples_per_second": 20.866,
|
288 |
+
"eval_steps_per_second": 2.645,
|
289 |
+
"step": 504
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 15.0,
|
293 |
+
"grad_norm": 3.970003128051758,
|
294 |
+
"learning_rate": 2.6213592233009708e-05,
|
295 |
+
"loss": 0.646,
|
296 |
+
"step": 540
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 15.0,
|
300 |
+
"eval_accuracy": 0.012048855633802816,
|
301 |
+
"eval_bleu": 0.37067819665088503,
|
302 |
+
"eval_f1": 0.011355838282605724,
|
303 |
+
"eval_loss": 1.4626511335372925,
|
304 |
+
"eval_precision": 0.010738384191565671,
|
305 |
+
"eval_recall": 0.012048855633802815,
|
306 |
+
"eval_runtime": 6.6898,
|
307 |
+
"eval_samples_per_second": 21.226,
|
308 |
+
"eval_steps_per_second": 2.691,
|
309 |
+
"step": 540
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 16.0,
|
313 |
+
"grad_norm": 3.967465877532959,
|
314 |
+
"learning_rate": 2.446601941747573e-05,
|
315 |
+
"loss": 0.6137,
|
316 |
+
"step": 576
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 16.0,
|
320 |
+
"eval_accuracy": 0.012048855633802816,
|
321 |
+
"eval_bleu": 0.3721186663899375,
|
322 |
+
"eval_f1": 0.01150499351512691,
|
323 |
+
"eval_loss": 1.460695505142212,
|
324 |
+
"eval_precision": 0.01100817275358665,
|
325 |
+
"eval_recall": 0.012048855633802815,
|
326 |
+
"eval_runtime": 6.1473,
|
327 |
+
"eval_samples_per_second": 23.1,
|
328 |
+
"eval_steps_per_second": 2.928,
|
329 |
+
"step": 576
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 17.0,
|
333 |
+
"grad_norm": 3.9431395530700684,
|
334 |
+
"learning_rate": 2.2718446601941746e-05,
|
335 |
+
"loss": 0.5833,
|
336 |
+
"step": 612
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 17.0,
|
340 |
+
"eval_accuracy": 0.012048855633802816,
|
341 |
+
"eval_bleu": 0.3782352067209992,
|
342 |
+
"eval_f1": 0.011355838282605724,
|
343 |
+
"eval_loss": 1.4740684032440186,
|
344 |
+
"eval_precision": 0.010738384191565671,
|
345 |
+
"eval_recall": 0.012048855633802815,
|
346 |
+
"eval_runtime": 6.2111,
|
347 |
+
"eval_samples_per_second": 22.862,
|
348 |
+
"eval_steps_per_second": 2.898,
|
349 |
+
"step": 612
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 18.0,
|
353 |
+
"grad_norm": 4.299834251403809,
|
354 |
+
"learning_rate": 2.097087378640777e-05,
|
355 |
+
"loss": 0.5523,
|
356 |
+
"step": 648
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 18.0,
|
360 |
+
"eval_accuracy": 0.012048855633802816,
|
361 |
+
"eval_bleu": 0.38158208167842117,
|
362 |
+
"eval_f1": 0.011454837538514543,
|
363 |
+
"eval_loss": 1.4804751873016357,
|
364 |
+
"eval_precision": 0.010916734980993936,
|
365 |
+
"eval_recall": 0.012048855633802815,
|
366 |
+
"eval_runtime": 6.2563,
|
367 |
+
"eval_samples_per_second": 22.697,
|
368 |
+
"eval_steps_per_second": 2.877,
|
369 |
+
"step": 648
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 19.0,
|
373 |
+
"grad_norm": 3.584228038787842,
|
374 |
+
"learning_rate": 1.9223300970873785e-05,
|
375 |
+
"loss": 0.5282,
|
376 |
+
"step": 684
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 19.0,
|
380 |
+
"eval_accuracy": 0.012268926056338027,
|
381 |
+
"eval_bleu": 0.38941442914279584,
|
382 |
+
"eval_f1": 0.011665531630013295,
|
383 |
+
"eval_loss": 1.4897931814193726,
|
384 |
+
"eval_precision": 0.011119728166708294,
|
385 |
+
"eval_recall": 0.012268926056338027,
|
386 |
+
"eval_runtime": 6.1705,
|
387 |
+
"eval_samples_per_second": 23.013,
|
388 |
+
"eval_steps_per_second": 2.917,
|
389 |
+
"step": 684
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 20.0,
|
393 |
+
"grad_norm": 3.575045108795166,
|
394 |
+
"learning_rate": 1.7475728155339808e-05,
|
395 |
+
"loss": 0.5047,
|
396 |
+
"step": 720
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 20.0,
|
400 |
+
"eval_accuracy": 0.01210387323943662,
|
401 |
+
"eval_bleu": 0.3904044704756756,
|
402 |
+
"eval_f1": 0.011583122303403293,
|
403 |
+
"eval_loss": 1.4997267723083496,
|
404 |
+
"eval_precision": 0.011105397197031464,
|
405 |
+
"eval_recall": 0.01210387323943662,
|
406 |
+
"eval_runtime": 6.3359,
|
407 |
+
"eval_samples_per_second": 22.412,
|
408 |
+
"eval_steps_per_second": 2.841,
|
409 |
+
"step": 720
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 21.0,
|
413 |
+
"grad_norm": 3.5939736366271973,
|
414 |
+
"learning_rate": 1.5728155339805823e-05,
|
415 |
+
"loss": 0.4854,
|
416 |
+
"step": 756
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 21.0,
|
420 |
+
"eval_accuracy": 0.012048855633802816,
|
421 |
+
"eval_bleu": 0.38824458290957736,
|
422 |
+
"eval_f1": 0.011442367439933718,
|
423 |
+
"eval_loss": 1.5054779052734375,
|
424 |
+
"eval_precision": 0.010894114653359857,
|
425 |
+
"eval_recall": 0.012048855633802815,
|
426 |
+
"eval_runtime": 6.2963,
|
427 |
+
"eval_samples_per_second": 22.553,
|
428 |
+
"eval_steps_per_second": 2.859,
|
429 |
+
"step": 756
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 22.0,
|
433 |
+
"grad_norm": 3.807431697845459,
|
434 |
+
"learning_rate": 1.3980582524271846e-05,
|
435 |
+
"loss": 0.4697,
|
436 |
+
"step": 792
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 22.0,
|
440 |
+
"eval_accuracy": 0.012048855633802816,
|
441 |
+
"eval_bleu": 0.3905756115063895,
|
442 |
+
"eval_f1": 0.011442367439933718,
|
443 |
+
"eval_loss": 1.5122706890106201,
|
444 |
+
"eval_precision": 0.010894114653359857,
|
445 |
+
"eval_recall": 0.012048855633802815,
|
446 |
+
"eval_runtime": 7.012,
|
447 |
+
"eval_samples_per_second": 20.251,
|
448 |
+
"eval_steps_per_second": 2.567,
|
449 |
+
"step": 792
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 23.0,
|
453 |
+
"grad_norm": 3.8207340240478516,
|
454 |
+
"learning_rate": 1.2233009708737865e-05,
|
455 |
+
"loss": 0.4547,
|
456 |
+
"step": 828
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 23.0,
|
460 |
+
"eval_accuracy": 0.012048855633802816,
|
461 |
+
"eval_bleu": 0.39316674027140547,
|
462 |
+
"eval_f1": 0.011517601862123769,
|
463 |
+
"eval_loss": 1.5183604955673218,
|
464 |
+
"eval_precision": 0.011031274351852924,
|
465 |
+
"eval_recall": 0.012048855633802815,
|
466 |
+
"eval_runtime": 6.8261,
|
467 |
+
"eval_samples_per_second": 20.803,
|
468 |
+
"eval_steps_per_second": 2.637,
|
469 |
+
"step": 828
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 24.0,
|
473 |
+
"grad_norm": 3.831852912902832,
|
474 |
+
"learning_rate": 1.0485436893203885e-05,
|
475 |
+
"loss": 0.4413,
|
476 |
+
"step": 864
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 24.0,
|
480 |
+
"eval_accuracy": 0.012048855633802816,
|
481 |
+
"eval_bleu": 0.3956605229111985,
|
482 |
+
"eval_f1": 0.011392759914288347,
|
483 |
+
"eval_loss": 1.5295231342315674,
|
484 |
+
"eval_precision": 0.010804571945629947,
|
485 |
+
"eval_recall": 0.012048855633802815,
|
486 |
+
"eval_runtime": 6.289,
|
487 |
+
"eval_samples_per_second": 22.579,
|
488 |
+
"eval_steps_per_second": 2.862,
|
489 |
+
"step": 864
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 25.0,
|
493 |
+
"grad_norm": 3.056539297103882,
|
494 |
+
"learning_rate": 8.737864077669904e-06,
|
495 |
+
"loss": 0.4325,
|
496 |
+
"step": 900
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 25.0,
|
500 |
+
"eval_accuracy": 0.012048855633802816,
|
501 |
+
"eval_bleu": 0.39496386454550636,
|
502 |
+
"eval_f1": 0.0114798602280593,
|
503 |
+
"eval_loss": 1.535691738128662,
|
504 |
+
"eval_precision": 0.010962261366716413,
|
505 |
+
"eval_recall": 0.012048855633802815,
|
506 |
+
"eval_runtime": 6.1059,
|
507 |
+
"eval_samples_per_second": 23.256,
|
508 |
+
"eval_steps_per_second": 2.948,
|
509 |
+
"step": 900
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 26.0,
|
513 |
+
"grad_norm": 3.1146154403686523,
|
514 |
+
"learning_rate": 6.990291262135923e-06,
|
515 |
+
"loss": 0.4188,
|
516 |
+
"step": 936
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 26.0,
|
520 |
+
"eval_accuracy": 0.012048855633802816,
|
521 |
+
"eval_bleu": 0.3960440421138887,
|
522 |
+
"eval_f1": 0.011517601862123769,
|
523 |
+
"eval_loss": 1.5396318435668945,
|
524 |
+
"eval_precision": 0.011031274351852924,
|
525 |
+
"eval_recall": 0.012048855633802815,
|
526 |
+
"eval_runtime": 7.2756,
|
527 |
+
"eval_samples_per_second": 19.517,
|
528 |
+
"eval_steps_per_second": 2.474,
|
529 |
+
"step": 936
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 27.0,
|
533 |
+
"grad_norm": 3.4233100414276123,
|
534 |
+
"learning_rate": 5.242718446601942e-06,
|
535 |
+
"loss": 0.4131,
|
536 |
+
"step": 972
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 27.0,
|
540 |
+
"eval_accuracy": 0.012048855633802816,
|
541 |
+
"eval_bleu": 0.4001388307186371,
|
542 |
+
"eval_f1": 0.011492413001125629,
|
543 |
+
"eval_loss": 1.5463387966156006,
|
544 |
+
"eval_precision": 0.010985168630418547,
|
545 |
+
"eval_recall": 0.012048855633802815,
|
546 |
+
"eval_runtime": 7.2564,
|
547 |
+
"eval_samples_per_second": 19.569,
|
548 |
+
"eval_steps_per_second": 2.481,
|
549 |
+
"step": 972
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 28.0,
|
553 |
+
"grad_norm": 2.70424485206604,
|
554 |
+
"learning_rate": 3.4951456310679615e-06,
|
555 |
+
"loss": 0.4089,
|
556 |
+
"step": 1008
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 28.0,
|
560 |
+
"eval_accuracy": 0.012048855633802816,
|
561 |
+
"eval_bleu": 0.39854032138633055,
|
562 |
+
"eval_f1": 0.011492413001125629,
|
563 |
+
"eval_loss": 1.544076681137085,
|
564 |
+
"eval_precision": 0.010985168630418547,
|
565 |
+
"eval_recall": 0.012048855633802815,
|
566 |
+
"eval_runtime": 7.0435,
|
567 |
+
"eval_samples_per_second": 20.16,
|
568 |
+
"eval_steps_per_second": 2.556,
|
569 |
+
"step": 1008
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 29.0,
|
573 |
+
"grad_norm": 3.052654266357422,
|
574 |
+
"learning_rate": 1.7475728155339808e-06,
|
575 |
+
"loss": 0.4026,
|
576 |
+
"step": 1044
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 29.0,
|
580 |
+
"eval_accuracy": 0.012048855633802816,
|
581 |
+
"eval_bleu": 0.3987203294842987,
|
582 |
+
"eval_f1": 0.01150499351512691,
|
583 |
+
"eval_loss": 1.5447367429733276,
|
584 |
+
"eval_precision": 0.01100817275358665,
|
585 |
+
"eval_recall": 0.012048855633802815,
|
586 |
+
"eval_runtime": 6.3248,
|
587 |
+
"eval_samples_per_second": 22.451,
|
588 |
+
"eval_steps_per_second": 2.846,
|
589 |
+
"step": 1044
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 30.0,
|
593 |
+
"grad_norm": 3.11586856842041,
|
594 |
+
"learning_rate": 0.0,
|
595 |
+
"loss": 0.3999,
|
596 |
+
"step": 1080
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 30.0,
|
600 |
+
"eval_accuracy": 0.012048855633802816,
|
601 |
+
"eval_bleu": 0.398637528263251,
|
602 |
+
"eval_f1": 0.011517601862123769,
|
603 |
+
"eval_loss": 1.5456310510635376,
|
604 |
+
"eval_precision": 0.011031274351852924,
|
605 |
+
"eval_recall": 0.012048855633802815,
|
606 |
+
"eval_runtime": 6.2921,
|
607 |
+
"eval_samples_per_second": 22.568,
|
608 |
+
"eval_steps_per_second": 2.861,
|
609 |
+
"step": 1080
|
610 |
+
}
|
611 |
+
],
|
612 |
+
"logging_steps": 500,
|
613 |
+
"max_steps": 1080,
|
614 |
+
"num_input_tokens_seen": 0,
|
615 |
+
"num_train_epochs": 30,
|
616 |
+
"save_steps": 500,
|
617 |
+
"stateful_callbacks": {
|
618 |
+
"TrainerControl": {
|
619 |
+
"args": {
|
620 |
+
"should_epoch_stop": false,
|
621 |
+
"should_evaluate": false,
|
622 |
+
"should_log": false,
|
623 |
+
"should_save": true,
|
624 |
+
"should_training_stop": true
|
625 |
+
},
|
626 |
+
"attributes": {}
|
627 |
+
}
|
628 |
+
},
|
629 |
+
"total_flos": 1113104056320000.0,
|
630 |
+
"train_batch_size": 16,
|
631 |
+
"trial_name": null,
|
632 |
+
"trial_params": null
|
633 |
+
}
|
checkpoint-1080/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5f557e25922091b17e468d8ac6bc55cff0ff7201c8dce20c9bd3ed8370a6bba5
|
3 |
+
size 5048
|
config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "gpt2",
|
3 |
+
"activation_function": "gelu_new",
|
4 |
+
"architectures": [
|
5 |
+
"GPT2LMHeadModel"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.1,
|
8 |
+
"bos_token_id": 50256,
|
9 |
+
"embd_pdrop": 0.1,
|
10 |
+
"eos_token_id": 50256,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"layer_norm_epsilon": 1e-05,
|
13 |
+
"model_type": "gpt2",
|
14 |
+
"n_ctx": 1024,
|
15 |
+
"n_embd": 768,
|
16 |
+
"n_head": 12,
|
17 |
+
"n_inner": null,
|
18 |
+
"n_layer": 12,
|
19 |
+
"n_positions": 1024,
|
20 |
+
"reorder_and_upcast_attn": false,
|
21 |
+
"resid_pdrop": 0.1,
|
22 |
+
"scale_attn_by_inverse_layer_idx": false,
|
23 |
+
"scale_attn_weights": true,
|
24 |
+
"summary_activation": null,
|
25 |
+
"summary_first_dropout": 0.1,
|
26 |
+
"summary_proj_to_labels": true,
|
27 |
+
"summary_type": "cls_index",
|
28 |
+
"summary_use_proj": true,
|
29 |
+
"task_specific_params": {
|
30 |
+
"text-generation": {
|
31 |
+
"do_sample": true,
|
32 |
+
"max_length": 50
|
33 |
+
}
|
34 |
+
},
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.41.2",
|
37 |
+
"use_cache": true,
|
38 |
+
"vocab_size": 50257
|
39 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 50256,
|
4 |
+
"eos_token_id": 50256,
|
5 |
+
"transformers_version": "4.41.2"
|
6 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8d22586f32398abba71287fc9fbd27f68a106fb4da5a21da85e439f4ea68d69
|
3 |
+
size 497774208
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"50256": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
}
|
13 |
+
},
|
14 |
+
"bos_token": "<|endoftext|>",
|
15 |
+
"clean_up_tokenization_spaces": true,
|
16 |
+
"eos_token": "<|endoftext|>",
|
17 |
+
"errors": "replace",
|
18 |
+
"model_max_length": 1024,
|
19 |
+
"pad_token": null,
|
20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
21 |
+
"unk_token": "<|endoftext|>"
|
22 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|