Training in progress, epoch 46, checkpoint
Browse files- checkpoint-24334/adapter_config.json +1 -1
- checkpoint-24334/adapter_model.bin +3 -0
- checkpoint-24334/added_tokens.json +3 -3
- checkpoint-24334/optimizer.pt +2 -2
- checkpoint-24334/rng_state_0.pth +1 -1
- checkpoint-24334/rng_state_1.pth +1 -1
- checkpoint-24334/rng_state_2.pth +1 -1
- checkpoint-24334/rng_state_3.pth +1 -1
- checkpoint-24334/special_tokens_map.json +4 -12
- checkpoint-24334/tokenizer.json +0 -0
- checkpoint-24334/tokenizer.model +3 -0
- checkpoint-24334/tokenizer_config.json +17 -20
- checkpoint-24334/trainer_state.json +697 -954
- checkpoint-24334/training_args.bin +2 -2
checkpoint-24334/adapter_config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"auto_mapping": null,
|
| 3 |
-
"base_model_name_or_path": "
|
| 4 |
"bias": "none",
|
| 5 |
"fan_in_fan_out": false,
|
| 6 |
"inference_mode": true,
|
|
|
|
| 1 |
{
|
| 2 |
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
| 4 |
"bias": "none",
|
| 5 |
"fan_in_fan_out": false,
|
| 6 |
"inference_mode": true,
|
checkpoint-24334/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28c0dc2fb06e276c7fa085ba271508b0d48973ce4c3e9cd26135819c9911d75c
|
| 3 |
+
size 143269386
|
checkpoint-24334/added_tokens.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"
|
| 4 |
-
"
|
| 5 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"</s>": 2,
|
| 3 |
+
"<s>": 1,
|
| 4 |
+
"<unk>": 0
|
| 5 |
}
|
checkpoint-24334/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36a7f4a5e04324852a4916ba4aeb962f6bc09165e00a154313045c54ead467b6
|
| 3 |
+
size 286585234
|
checkpoint-24334/rng_state_0.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e0ea276871c5a33cf2f11a11e18cb8eeec9ab5bd471f03cd02459eddb1df2d1
|
| 3 |
size 15024
|
checkpoint-24334/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:97ea0cc0dea5f92da112879d6de95fa58a632b556525323aebee645132f0c9b0
|
| 3 |
size 15024
|
checkpoint-24334/rng_state_2.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4fa726f1148a6f71334c9b04f87da2ed936a9caa2e5d3aa8f9b6ea0be5976261
|
| 3 |
size 15024
|
checkpoint-24334/rng_state_3.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8c338fa0ecd5ca209d96f225a4e19bdb6d108c3d757f98779c3e6d9e1f557bb6
|
| 3 |
size 15024
|
checkpoint-24334/special_tokens_map.json
CHANGED
|
@@ -1,14 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
"eos_token": {
|
| 7 |
-
"content": "<|endoftext|>",
|
| 8 |
-
"lstrip": false,
|
| 9 |
-
"normalized": false,
|
| 10 |
-
"rstrip": false,
|
| 11 |
-
"single_word": false
|
| 12 |
-
},
|
| 13 |
-
"pad_token": "<|endoftext|>"
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "</s>",
|
| 5 |
+
"unk_token": "<unk>"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
}
|
checkpoint-24334/tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-24334/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
checkpoint-24334/tokenizer_config.json
CHANGED
|
@@ -1,24 +1,23 @@
|
|
| 1 |
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
"added_tokens_decoder": {
|
| 4 |
-
"
|
| 5 |
-
"content": "
|
| 6 |
"lstrip": false,
|
| 7 |
"normalized": false,
|
| 8 |
"rstrip": false,
|
| 9 |
"single_word": false,
|
| 10 |
"special": true
|
| 11 |
},
|
| 12 |
-
"
|
| 13 |
-
"content": "
|
| 14 |
"lstrip": false,
|
| 15 |
"normalized": false,
|
| 16 |
"rstrip": false,
|
| 17 |
"single_word": false,
|
| 18 |
"special": true
|
| 19 |
},
|
| 20 |
-
"
|
| 21 |
-
"content": "
|
| 22 |
"lstrip": false,
|
| 23 |
"normalized": false,
|
| 24 |
"rstrip": false,
|
|
@@ -26,18 +25,16 @@
|
|
| 26 |
"special": true
|
| 27 |
}
|
| 28 |
},
|
| 29 |
-
"additional_special_tokens": [
|
| 30 |
-
|
| 31 |
-
"<|im_end|>"
|
| 32 |
-
],
|
| 33 |
-
"bos_token": null,
|
| 34 |
-
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
"clean_up_tokenization_spaces": false,
|
| 36 |
-
"eos_token": "
|
| 37 |
-
"
|
| 38 |
-
"model_max_length":
|
| 39 |
-
"pad_token": "
|
| 40 |
-
"
|
| 41 |
-
"
|
| 42 |
-
"
|
|
|
|
|
|
|
| 43 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
"lstrip": false,
|
| 6 |
"normalized": false,
|
| 7 |
"rstrip": false,
|
| 8 |
"single_word": false,
|
| 9 |
"special": true
|
| 10 |
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
"lstrip": false,
|
| 14 |
"normalized": false,
|
| 15 |
"rstrip": false,
|
| 16 |
"single_word": false,
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|
| 23 |
"rstrip": false,
|
|
|
|
| 25 |
"special": true
|
| 26 |
}
|
| 27 |
},
|
| 28 |
+
"additional_special_tokens": [],
|
| 29 |
+
"bos_token": "<s>",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
"clean_up_tokenization_spaces": false,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"legacy": false,
|
| 33 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 34 |
+
"pad_token": "</s>",
|
| 35 |
+
"padding_side": "left",
|
| 36 |
+
"sp_model_kwargs": {},
|
| 37 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 38 |
+
"unk_token": "<unk>",
|
| 39 |
+
"use_default_system_prompt": true
|
| 40 |
}
|
checkpoint-24334/trainer_state.json
CHANGED
|
@@ -9,97 +9,87 @@
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 0.
|
| 13 |
-
"grad_norm": 0.3393945097923279,
|
| 14 |
"learning_rate": 0.0003,
|
| 15 |
-
"loss": 1.
|
| 16 |
"step": 100
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"grad_norm": 8017.20361328125,
|
| 21 |
"learning_rate": 0.0003,
|
| 22 |
-
"loss":
|
| 23 |
"step": 200
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"grad_norm": 9146.7236328125,
|
| 28 |
"learning_rate": 0.0003,
|
| 29 |
-
"loss":
|
| 30 |
"step": 300
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 0.
|
| 34 |
-
"grad_norm": 574.934326171875,
|
| 35 |
"learning_rate": 0.0003,
|
| 36 |
-
"loss":
|
| 37 |
"step": 400
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch": 0.
|
| 41 |
-
"grad_norm": 25128.55859375,
|
| 42 |
"learning_rate": 0.0003,
|
| 43 |
-
"loss":
|
| 44 |
"step": 500
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 1.0,
|
| 48 |
-
"eval_accuracy": 0.
|
| 49 |
-
"eval_loss":
|
| 50 |
-
"eval_runtime":
|
| 51 |
-
"eval_samples_per_second":
|
| 52 |
-
"eval_steps_per_second":
|
| 53 |
"step": 529
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 1.0,
|
| 57 |
-
"eval_exact_match": 0.
|
| 58 |
-
"eval_f1":
|
| 59 |
"step": 529
|
| 60 |
},
|
| 61 |
{
|
| 62 |
-
"epoch": 1.
|
| 63 |
-
"grad_norm": 1332.8885498046875,
|
| 64 |
"learning_rate": 0.0003,
|
| 65 |
-
"loss":
|
| 66 |
"step": 600
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"epoch": 1.
|
| 70 |
-
"grad_norm": 3666.881591796875,
|
| 71 |
"learning_rate": 0.0003,
|
| 72 |
-
"loss":
|
| 73 |
"step": 700
|
| 74 |
},
|
| 75 |
{
|
| 76 |
-
"epoch": 1.
|
| 77 |
-
"grad_norm": 356847.0,
|
| 78 |
"learning_rate": 0.0003,
|
| 79 |
-
"loss":
|
| 80 |
"step": 800
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 1.
|
| 84 |
-
"grad_norm": 1061.877685546875,
|
| 85 |
"learning_rate": 0.0003,
|
| 86 |
-
"loss":
|
| 87 |
"step": 900
|
| 88 |
},
|
| 89 |
{
|
| 90 |
-
"epoch": 1.
|
| 91 |
-
"grad_norm": 46670.3046875,
|
| 92 |
"learning_rate": 0.0003,
|
| 93 |
-
"loss":
|
| 94 |
"step": 1000
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 2.0,
|
| 98 |
-
"eval_accuracy": 0.
|
| 99 |
-
"eval_loss":
|
| 100 |
-
"eval_runtime":
|
| 101 |
-
"eval_samples_per_second":
|
| 102 |
-
"eval_steps_per_second":
|
| 103 |
"step": 1058
|
| 104 |
},
|
| 105 |
{
|
|
@@ -109,204 +99,183 @@
|
|
| 109 |
"step": 1058
|
| 110 |
},
|
| 111 |
{
|
| 112 |
-
"epoch": 2.
|
| 113 |
-
"grad_norm": 2.0727381706237793,
|
| 114 |
"learning_rate": 0.0003,
|
| 115 |
-
"loss":
|
| 116 |
"step": 1100
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch": 2.
|
| 120 |
-
"grad_norm": 1.8185893297195435,
|
| 121 |
"learning_rate": 0.0003,
|
| 122 |
-
"loss":
|
| 123 |
"step": 1200
|
| 124 |
},
|
| 125 |
{
|
| 126 |
-
"epoch": 2.
|
| 127 |
-
"grad_norm": 1620.93701171875,
|
| 128 |
"learning_rate": 0.0003,
|
| 129 |
-
"loss":
|
| 130 |
"step": 1300
|
| 131 |
},
|
| 132 |
{
|
| 133 |
-
"epoch": 2.
|
| 134 |
-
"grad_norm": 1.0691380500793457,
|
| 135 |
"learning_rate": 0.0003,
|
| 136 |
-
"loss":
|
| 137 |
"step": 1400
|
| 138 |
},
|
| 139 |
{
|
| 140 |
-
"epoch": 2.
|
| 141 |
-
"grad_norm": 1.0605100393295288,
|
| 142 |
"learning_rate": 0.0003,
|
| 143 |
-
"loss":
|
| 144 |
"step": 1500
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 3.0,
|
| 148 |
-
"eval_accuracy": 0.
|
| 149 |
-
"eval_loss":
|
| 150 |
-
"eval_runtime":
|
| 151 |
-
"eval_samples_per_second":
|
| 152 |
-
"eval_steps_per_second":
|
| 153 |
"step": 1587
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"epoch": 3.0,
|
| 157 |
"eval_exact_match": 0.0,
|
| 158 |
-
"eval_f1": 0.
|
| 159 |
"step": 1587
|
| 160 |
},
|
| 161 |
{
|
| 162 |
-
"epoch": 3.
|
| 163 |
-
"grad_norm": 1967676800.0,
|
| 164 |
"learning_rate": 0.0003,
|
| 165 |
-
"loss":
|
| 166 |
"step": 1600
|
| 167 |
},
|
| 168 |
{
|
| 169 |
-
"epoch": 3.
|
| 170 |
-
"grad_norm": 83918778793984.0,
|
| 171 |
"learning_rate": 0.0003,
|
| 172 |
-
"loss":
|
| 173 |
"step": 1700
|
| 174 |
},
|
| 175 |
{
|
| 176 |
-
"epoch": 3.
|
| 177 |
-
"grad_norm": 12349449.0,
|
| 178 |
"learning_rate": 0.0003,
|
| 179 |
-
"loss":
|
| 180 |
"step": 1800
|
| 181 |
},
|
| 182 |
{
|
| 183 |
-
"epoch": 3.
|
| 184 |
-
"grad_norm": 52939337728.0,
|
| 185 |
"learning_rate": 0.0003,
|
| 186 |
-
"loss":
|
| 187 |
"step": 1900
|
| 188 |
},
|
| 189 |
{
|
| 190 |
-
"epoch": 3.
|
| 191 |
-
"grad_norm": 1381182.25,
|
| 192 |
"learning_rate": 0.0003,
|
| 193 |
-
"loss":
|
| 194 |
"step": 2000
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch": 3.
|
| 198 |
-
"grad_norm": 105.80550384521484,
|
| 199 |
"learning_rate": 0.0003,
|
| 200 |
-
"loss":
|
| 201 |
"step": 2100
|
| 202 |
},
|
| 203 |
{
|
| 204 |
"epoch": 4.0,
|
| 205 |
-
"eval_accuracy": 0.
|
| 206 |
-
"eval_loss":
|
| 207 |
-
"eval_runtime":
|
| 208 |
-
"eval_samples_per_second":
|
| 209 |
-
"eval_steps_per_second":
|
| 210 |
"step": 2116
|
| 211 |
},
|
| 212 |
{
|
| 213 |
"epoch": 4.0,
|
| 214 |
-
"eval_exact_match":
|
| 215 |
-
"eval_f1":
|
| 216 |
"step": 2116
|
| 217 |
},
|
| 218 |
{
|
| 219 |
-
"epoch": 4.
|
| 220 |
-
"grad_norm": 16.110862731933594,
|
| 221 |
"learning_rate": 0.0003,
|
| 222 |
-
"loss":
|
| 223 |
"step": 2200
|
| 224 |
},
|
| 225 |
{
|
| 226 |
-
"epoch": 4.
|
| 227 |
-
"grad_norm": 4.362427234649658,
|
| 228 |
"learning_rate": 0.0003,
|
| 229 |
-
"loss":
|
| 230 |
"step": 2300
|
| 231 |
},
|
| 232 |
{
|
| 233 |
-
"epoch": 4.
|
| 234 |
-
"grad_norm": 18039.095703125,
|
| 235 |
"learning_rate": 0.0003,
|
| 236 |
-
"loss":
|
| 237 |
"step": 2400
|
| 238 |
},
|
| 239 |
{
|
| 240 |
-
"epoch": 4.
|
| 241 |
-
"grad_norm": 2.3812594051160474e+17,
|
| 242 |
"learning_rate": 0.0003,
|
| 243 |
-
"loss":
|
| 244 |
"step": 2500
|
| 245 |
},
|
| 246 |
{
|
| 247 |
-
"epoch": 4.
|
| 248 |
-
"grad_norm": 3.9549436569213867,
|
| 249 |
"learning_rate": 0.0003,
|
| 250 |
-
"loss":
|
| 251 |
"step": 2600
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 5.0,
|
| 255 |
-
"eval_accuracy": 0.
|
| 256 |
-
"eval_loss":
|
| 257 |
-
"eval_runtime":
|
| 258 |
-
"eval_samples_per_second":
|
| 259 |
-
"eval_steps_per_second":
|
| 260 |
"step": 2645
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 5.0,
|
| 264 |
"eval_exact_match": 0.0,
|
| 265 |
-
"eval_f1": 0.
|
| 266 |
"step": 2645
|
| 267 |
},
|
| 268 |
{
|
| 269 |
-
"epoch": 5.
|
| 270 |
-
"grad_norm": 120114.2421875,
|
| 271 |
"learning_rate": 0.0003,
|
| 272 |
-
"loss":
|
| 273 |
"step": 2700
|
| 274 |
},
|
| 275 |
{
|
| 276 |
-
"epoch": 5.
|
| 277 |
-
"grad_norm": 391.66119384765625,
|
| 278 |
"learning_rate": 0.0003,
|
| 279 |
-
"loss":
|
| 280 |
"step": 2800
|
| 281 |
},
|
| 282 |
{
|
| 283 |
-
"epoch": 5.
|
| 284 |
-
"grad_norm": 599371136.0,
|
| 285 |
"learning_rate": 0.0003,
|
| 286 |
-
"loss":
|
| 287 |
"step": 2900
|
| 288 |
},
|
| 289 |
{
|
| 290 |
-
"epoch": 5.
|
| 291 |
-
"grad_norm": 5585.97314453125,
|
| 292 |
"learning_rate": 0.0003,
|
| 293 |
-
"loss":
|
| 294 |
"step": 3000
|
| 295 |
},
|
| 296 |
{
|
| 297 |
-
"epoch": 5.
|
| 298 |
-
"grad_norm": 268239548448768.0,
|
| 299 |
"learning_rate": 0.0003,
|
| 300 |
-
"loss":
|
| 301 |
"step": 3100
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 6.0,
|
| 305 |
-
"eval_accuracy": 0.
|
| 306 |
-
"eval_loss":
|
| 307 |
-
"eval_runtime":
|
| 308 |
-
"eval_samples_per_second":
|
| 309 |
-
"eval_steps_per_second":
|
| 310 |
"step": 3174
|
| 311 |
},
|
| 312 |
{
|
|
@@ -316,54 +285,48 @@
|
|
| 316 |
"step": 3174
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"epoch": 6.
|
| 320 |
-
"grad_norm": 21535.734375,
|
| 321 |
"learning_rate": 0.0003,
|
| 322 |
-
"loss":
|
| 323 |
"step": 3200
|
| 324 |
},
|
| 325 |
{
|
| 326 |
-
"epoch": 6.
|
| 327 |
-
"grad_norm": 40871530496.0,
|
| 328 |
"learning_rate": 0.0003,
|
| 329 |
-
"loss":
|
| 330 |
"step": 3300
|
| 331 |
},
|
| 332 |
{
|
| 333 |
-
"epoch": 6.
|
| 334 |
-
"grad_norm": 13.242510795593262,
|
| 335 |
"learning_rate": 0.0003,
|
| 336 |
-
"loss":
|
| 337 |
"step": 3400
|
| 338 |
},
|
| 339 |
{
|
| 340 |
-
"epoch": 6.
|
| 341 |
-
"grad_norm": 3.0841150283813477,
|
| 342 |
"learning_rate": 0.0003,
|
| 343 |
-
"loss":
|
| 344 |
"step": 3500
|
| 345 |
},
|
| 346 |
{
|
| 347 |
-
"epoch": 6.
|
| 348 |
-
"grad_norm": 1.6124571561813354,
|
| 349 |
"learning_rate": 0.0003,
|
| 350 |
-
"loss":
|
| 351 |
"step": 3600
|
| 352 |
},
|
| 353 |
{
|
| 354 |
-
"epoch": 6.
|
| 355 |
-
"grad_norm": 1.8358014822006226,
|
| 356 |
"learning_rate": 0.0003,
|
| 357 |
-
"loss":
|
| 358 |
"step": 3700
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 7.0,
|
| 362 |
-
"eval_accuracy": 0.
|
| 363 |
-
"eval_loss":
|
| 364 |
-
"eval_runtime":
|
| 365 |
-
"eval_samples_per_second":
|
| 366 |
-
"eval_steps_per_second":
|
| 367 |
"step": 3703
|
| 368 |
},
|
| 369 |
{
|
|
@@ -373,47 +336,42 @@
|
|
| 373 |
"step": 3703
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch": 7.
|
| 377 |
-
"grad_norm": 5.786651134490967,
|
| 378 |
"learning_rate": 0.0003,
|
| 379 |
-
"loss":
|
| 380 |
"step": 3800
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 7.
|
| 384 |
-
"grad_norm": 3.7182490825653076,
|
| 385 |
"learning_rate": 0.0003,
|
| 386 |
-
"loss":
|
| 387 |
"step": 3900
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch": 7.
|
| 391 |
-
"grad_norm": 31.241104125976562,
|
| 392 |
"learning_rate": 0.0003,
|
| 393 |
-
"loss": 7.
|
| 394 |
"step": 4000
|
| 395 |
},
|
| 396 |
{
|
| 397 |
-
"epoch": 7.
|
| 398 |
-
"grad_norm": 896688896.0,
|
| 399 |
"learning_rate": 0.0003,
|
| 400 |
-
"loss": 8.
|
| 401 |
"step": 4100
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch": 7.
|
| 405 |
-
"grad_norm": 1.1150538843415904e+19,
|
| 406 |
"learning_rate": 0.0003,
|
| 407 |
-
"loss":
|
| 408 |
"step": 4200
|
| 409 |
},
|
| 410 |
{
|
| 411 |
"epoch": 8.0,
|
| 412 |
-
"eval_accuracy": 0.
|
| 413 |
-
"eval_loss":
|
| 414 |
-
"eval_runtime":
|
| 415 |
-
"eval_samples_per_second":
|
| 416 |
-
"eval_steps_per_second":
|
| 417 |
"step": 4232
|
| 418 |
},
|
| 419 |
{
|
|
@@ -423,47 +381,42 @@
|
|
| 423 |
"step": 4232
|
| 424 |
},
|
| 425 |
{
|
| 426 |
-
"epoch": 8.
|
| 427 |
-
"grad_norm": 7.2513813972473145,
|
| 428 |
"learning_rate": 0.0003,
|
| 429 |
-
"loss":
|
| 430 |
"step": 4300
|
| 431 |
},
|
| 432 |
{
|
| 433 |
-
"epoch": 8.
|
| 434 |
-
"grad_norm": 14.863628387451172,
|
| 435 |
"learning_rate": 0.0003,
|
| 436 |
-
"loss":
|
| 437 |
"step": 4400
|
| 438 |
},
|
| 439 |
{
|
| 440 |
-
"epoch": 8.
|
| 441 |
-
"grad_norm": 5.358551979064941,
|
| 442 |
"learning_rate": 0.0003,
|
| 443 |
-
"loss": 8.
|
| 444 |
"step": 4500
|
| 445 |
},
|
| 446 |
{
|
| 447 |
-
"epoch": 8.
|
| 448 |
-
"grad_norm": 113.71702575683594,
|
| 449 |
"learning_rate": 0.0003,
|
| 450 |
-
"loss": 7.
|
| 451 |
"step": 4600
|
| 452 |
},
|
| 453 |
{
|
| 454 |
-
"epoch": 8.
|
| 455 |
-
"grad_norm": 2.3997488021850586,
|
| 456 |
"learning_rate": 0.0003,
|
| 457 |
-
"loss":
|
| 458 |
"step": 4700
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 9.0,
|
| 462 |
-
"eval_accuracy": 0.
|
| 463 |
-
"eval_loss": 6.
|
| 464 |
-
"eval_runtime":
|
| 465 |
-
"eval_samples_per_second":
|
| 466 |
-
"eval_steps_per_second":
|
| 467 |
"step": 4761
|
| 468 |
},
|
| 469 |
{
|
|
@@ -473,47 +426,42 @@
|
|
| 473 |
"step": 4761
|
| 474 |
},
|
| 475 |
{
|
| 476 |
-
"epoch": 9.
|
| 477 |
-
"grad_norm": 7.822358131408691,
|
| 478 |
"learning_rate": 0.0003,
|
| 479 |
-
"loss": 7.
|
| 480 |
"step": 4800
|
| 481 |
},
|
| 482 |
{
|
| 483 |
-
"epoch": 9.
|
| 484 |
-
"grad_norm": 89279359352832.0,
|
| 485 |
"learning_rate": 0.0003,
|
| 486 |
-
"loss": 7.
|
| 487 |
"step": 4900
|
| 488 |
},
|
| 489 |
{
|
| 490 |
-
"epoch": 9.
|
| 491 |
-
"grad_norm": 656.6845703125,
|
| 492 |
"learning_rate": 0.0003,
|
| 493 |
-
"loss": 7.
|
| 494 |
"step": 5000
|
| 495 |
},
|
| 496 |
{
|
| 497 |
-
"epoch": 9.
|
| 498 |
-
"grad_norm": 13841700.0,
|
| 499 |
"learning_rate": 0.0003,
|
| 500 |
-
"loss": 7.
|
| 501 |
"step": 5100
|
| 502 |
},
|
| 503 |
{
|
| 504 |
-
"epoch": 9.
|
| 505 |
-
"grad_norm": 768177.9375,
|
| 506 |
"learning_rate": 0.0003,
|
| 507 |
-
"loss": 7.
|
| 508 |
"step": 5200
|
| 509 |
},
|
| 510 |
{
|
| 511 |
"epoch": 10.0,
|
| 512 |
-
"eval_accuracy": 0.
|
| 513 |
-
"eval_loss":
|
| 514 |
-
"eval_runtime":
|
| 515 |
-
"eval_samples_per_second":
|
| 516 |
-
"eval_steps_per_second":
|
| 517 |
"step": 5290
|
| 518 |
},
|
| 519 |
{
|
|
@@ -523,54 +471,48 @@
|
|
| 523 |
"step": 5290
|
| 524 |
},
|
| 525 |
{
|
| 526 |
-
"epoch": 10.
|
| 527 |
-
"grad_norm": 389293.03125,
|
| 528 |
"learning_rate": 0.0003,
|
| 529 |
-
"loss": 7.
|
| 530 |
"step": 5300
|
| 531 |
},
|
| 532 |
{
|
| 533 |
-
"epoch": 10.
|
| 534 |
-
"grad_norm": 3129429.25,
|
| 535 |
"learning_rate": 0.0003,
|
| 536 |
-
"loss":
|
| 537 |
"step": 5400
|
| 538 |
},
|
| 539 |
{
|
| 540 |
-
"epoch": 10.
|
| 541 |
-
"grad_norm": 6832450.5,
|
| 542 |
"learning_rate": 0.0003,
|
| 543 |
-
"loss":
|
| 544 |
"step": 5500
|
| 545 |
},
|
| 546 |
{
|
| 547 |
-
"epoch": 10.
|
| 548 |
-
"grad_norm": 24994486.0,
|
| 549 |
"learning_rate": 0.0003,
|
| 550 |
-
"loss":
|
| 551 |
"step": 5600
|
| 552 |
},
|
| 553 |
{
|
| 554 |
-
"epoch": 10.
|
| 555 |
-
"grad_norm": 10634.3076171875,
|
| 556 |
"learning_rate": 0.0003,
|
| 557 |
-
"loss":
|
| 558 |
"step": 5700
|
| 559 |
},
|
| 560 |
{
|
| 561 |
-
"epoch": 10.
|
| 562 |
-
"grad_norm": 37.100101470947266,
|
| 563 |
"learning_rate": 0.0003,
|
| 564 |
-
"loss":
|
| 565 |
"step": 5800
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"epoch": 11.0,
|
| 569 |
-
"eval_accuracy": 0.
|
| 570 |
-
"eval_loss": 6.
|
| 571 |
-
"eval_runtime":
|
| 572 |
-
"eval_samples_per_second":
|
| 573 |
-
"eval_steps_per_second":
|
| 574 |
"step": 5819
|
| 575 |
},
|
| 576 |
{
|
|
@@ -580,47 +522,42 @@
|
|
| 580 |
"step": 5819
|
| 581 |
},
|
| 582 |
{
|
| 583 |
-
"epoch": 11.
|
| 584 |
-
"grad_norm": 319.2048645019531,
|
| 585 |
"learning_rate": 0.0003,
|
| 586 |
-
"loss": 7.
|
| 587 |
"step": 5900
|
| 588 |
},
|
| 589 |
{
|
| 590 |
-
"epoch": 11.
|
| 591 |
-
"grad_norm": 72.28472900390625,
|
| 592 |
"learning_rate": 0.0003,
|
| 593 |
-
"loss": 7.
|
| 594 |
"step": 6000
|
| 595 |
},
|
| 596 |
{
|
| 597 |
-
"epoch": 11.
|
| 598 |
-
"grad_norm": 11.851283073425293,
|
| 599 |
"learning_rate": 0.0003,
|
| 600 |
-
"loss": 7.
|
| 601 |
"step": 6100
|
| 602 |
},
|
| 603 |
{
|
| 604 |
-
"epoch": 11.
|
| 605 |
-
"grad_norm": 6.574771404266357,
|
| 606 |
"learning_rate": 0.0003,
|
| 607 |
-
"loss": 7.
|
| 608 |
"step": 6200
|
| 609 |
},
|
| 610 |
{
|
| 611 |
-
"epoch": 11.
|
| 612 |
-
"grad_norm": 4.578986644744873,
|
| 613 |
"learning_rate": 0.0003,
|
| 614 |
-
"loss": 7.
|
| 615 |
"step": 6300
|
| 616 |
},
|
| 617 |
{
|
| 618 |
"epoch": 12.0,
|
| 619 |
-
"eval_accuracy": 0.
|
| 620 |
-
"eval_loss": 6.
|
| 621 |
-
"eval_runtime":
|
| 622 |
-
"eval_samples_per_second":
|
| 623 |
-
"eval_steps_per_second":
|
| 624 |
"step": 6348
|
| 625 |
},
|
| 626 |
{
|
|
@@ -630,47 +567,42 @@
|
|
| 630 |
"step": 6348
|
| 631 |
},
|
| 632 |
{
|
| 633 |
-
"epoch": 12.
|
| 634 |
-
"grad_norm": 21.886821746826172,
|
| 635 |
"learning_rate": 0.0003,
|
| 636 |
-
"loss": 7.
|
| 637 |
"step": 6400
|
| 638 |
},
|
| 639 |
{
|
| 640 |
-
"epoch": 12.
|
| 641 |
-
"grad_norm": 102.8978500366211,
|
| 642 |
"learning_rate": 0.0003,
|
| 643 |
-
"loss": 7.
|
| 644 |
"step": 6500
|
| 645 |
},
|
| 646 |
{
|
| 647 |
-
"epoch": 12.
|
| 648 |
-
"grad_norm": 4.47935676574707,
|
| 649 |
"learning_rate": 0.0003,
|
| 650 |
-
"loss":
|
| 651 |
"step": 6600
|
| 652 |
},
|
| 653 |
{
|
| 654 |
-
"epoch": 12.
|
| 655 |
-
"grad_norm": 259.2627868652344,
|
| 656 |
"learning_rate": 0.0003,
|
| 657 |
-
"loss":
|
| 658 |
"step": 6700
|
| 659 |
},
|
| 660 |
{
|
| 661 |
-
"epoch": 12.
|
| 662 |
-
"grad_norm": 473.829345703125,
|
| 663 |
"learning_rate": 0.0003,
|
| 664 |
-
"loss": 7.
|
| 665 |
"step": 6800
|
| 666 |
},
|
| 667 |
{
|
| 668 |
"epoch": 13.0,
|
| 669 |
-
"eval_accuracy": 0.
|
| 670 |
-
"eval_loss": 6.
|
| 671 |
-
"eval_runtime":
|
| 672 |
-
"eval_samples_per_second":
|
| 673 |
-
"eval_steps_per_second":
|
| 674 |
"step": 6877
|
| 675 |
},
|
| 676 |
{
|
|
@@ -680,54 +612,48 @@
|
|
| 680 |
"step": 6877
|
| 681 |
},
|
| 682 |
{
|
| 683 |
-
"epoch": 13.
|
| 684 |
-
"grad_norm": 150.06381225585938,
|
| 685 |
"learning_rate": 0.0003,
|
| 686 |
-
"loss":
|
| 687 |
"step": 6900
|
| 688 |
},
|
| 689 |
{
|
| 690 |
-
"epoch": 13.
|
| 691 |
-
"grad_norm": 1546.5465087890625,
|
| 692 |
"learning_rate": 0.0003,
|
| 693 |
-
"loss":
|
| 694 |
"step": 7000
|
| 695 |
},
|
| 696 |
{
|
| 697 |
-
"epoch": 13.
|
| 698 |
-
"grad_norm": 18108432.0,
|
| 699 |
"learning_rate": 0.0003,
|
| 700 |
-
"loss": 7.
|
| 701 |
"step": 7100
|
| 702 |
},
|
| 703 |
{
|
| 704 |
-
"epoch": 13.
|
| 705 |
-
"grad_norm": 379725545472.0,
|
| 706 |
"learning_rate": 0.0003,
|
| 707 |
-
"loss":
|
| 708 |
"step": 7200
|
| 709 |
},
|
| 710 |
{
|
| 711 |
-
"epoch": 13.
|
| 712 |
-
"grad_norm": 14.351493835449219,
|
| 713 |
"learning_rate": 0.0003,
|
| 714 |
-
"loss": 7.
|
| 715 |
"step": 7300
|
| 716 |
},
|
| 717 |
{
|
| 718 |
-
"epoch": 13.
|
| 719 |
-
"grad_norm": 3.4325509071350098,
|
| 720 |
"learning_rate": 0.0003,
|
| 721 |
-
"loss":
|
| 722 |
"step": 7400
|
| 723 |
},
|
| 724 |
{
|
| 725 |
"epoch": 14.0,
|
| 726 |
-
"eval_accuracy": 0.
|
| 727 |
-
"eval_loss": 6.
|
| 728 |
-
"eval_runtime":
|
| 729 |
-
"eval_samples_per_second":
|
| 730 |
-
"eval_steps_per_second":
|
| 731 |
"step": 7406
|
| 732 |
},
|
| 733 |
{
|
|
@@ -737,47 +663,42 @@
|
|
| 737 |
"step": 7406
|
| 738 |
},
|
| 739 |
{
|
| 740 |
-
"epoch": 14.
|
| 741 |
-
"grad_norm": 3408474406912.0,
|
| 742 |
"learning_rate": 0.0003,
|
| 743 |
-
"loss": 7.
|
| 744 |
"step": 7500
|
| 745 |
},
|
| 746 |
{
|
| 747 |
-
"epoch": 14.
|
| 748 |
-
"grad_norm": 766890.1875,
|
| 749 |
"learning_rate": 0.0003,
|
| 750 |
-
"loss": 7.
|
| 751 |
"step": 7600
|
| 752 |
},
|
| 753 |
{
|
| 754 |
-
"epoch": 14.
|
| 755 |
-
"grad_norm": 4749101.0,
|
| 756 |
"learning_rate": 0.0003,
|
| 757 |
-
"loss": 7.
|
| 758 |
"step": 7700
|
| 759 |
},
|
| 760 |
{
|
| 761 |
-
"epoch": 14.
|
| 762 |
-
"grad_norm": 21509612.0,
|
| 763 |
"learning_rate": 0.0003,
|
| 764 |
-
"loss": 7.
|
| 765 |
"step": 7800
|
| 766 |
},
|
| 767 |
{
|
| 768 |
-
"epoch": 14.
|
| 769 |
-
"grad_norm": 1.0536716136244838e+18,
|
| 770 |
"learning_rate": 0.0003,
|
| 771 |
-
"loss": 7.
|
| 772 |
"step": 7900
|
| 773 |
},
|
| 774 |
{
|
| 775 |
"epoch": 15.0,
|
| 776 |
-
"eval_accuracy": 0.
|
| 777 |
-
"eval_loss":
|
| 778 |
-
"eval_runtime":
|
| 779 |
-
"eval_samples_per_second":
|
| 780 |
-
"eval_steps_per_second":
|
| 781 |
"step": 7935
|
| 782 |
},
|
| 783 |
{
|
|
@@ -787,47 +708,42 @@
|
|
| 787 |
"step": 7935
|
| 788 |
},
|
| 789 |
{
|
| 790 |
-
"epoch": 15.
|
| 791 |
-
"grad_norm": NaN,
|
| 792 |
"learning_rate": 0.0003,
|
| 793 |
-
"loss":
|
| 794 |
"step": 8000
|
| 795 |
},
|
| 796 |
{
|
| 797 |
-
"epoch": 15.
|
| 798 |
-
"grad_norm": NaN,
|
| 799 |
"learning_rate": 0.0003,
|
| 800 |
-
"loss":
|
| 801 |
"step": 8100
|
| 802 |
},
|
| 803 |
{
|
| 804 |
-
"epoch": 15.
|
| 805 |
-
"grad_norm": NaN,
|
| 806 |
"learning_rate": 0.0003,
|
| 807 |
-
"loss":
|
| 808 |
"step": 8200
|
| 809 |
},
|
| 810 |
{
|
| 811 |
-
"epoch": 15.
|
| 812 |
-
"grad_norm": NaN,
|
| 813 |
"learning_rate": 0.0003,
|
| 814 |
-
"loss":
|
| 815 |
"step": 8300
|
| 816 |
},
|
| 817 |
{
|
| 818 |
-
"epoch": 15.
|
| 819 |
-
"grad_norm": NaN,
|
| 820 |
"learning_rate": 0.0003,
|
| 821 |
-
"loss":
|
| 822 |
"step": 8400
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 16.0,
|
| 826 |
-
"eval_accuracy": 0.
|
| 827 |
-
"eval_loss":
|
| 828 |
-
"eval_runtime":
|
| 829 |
-
"eval_samples_per_second":
|
| 830 |
-
"eval_steps_per_second":
|
| 831 |
"step": 8464
|
| 832 |
},
|
| 833 |
{
|
|
@@ -837,47 +753,42 @@
|
|
| 837 |
"step": 8464
|
| 838 |
},
|
| 839 |
{
|
| 840 |
-
"epoch": 16.
|
| 841 |
-
"grad_norm": NaN,
|
| 842 |
"learning_rate": 0.0003,
|
| 843 |
-
"loss":
|
| 844 |
"step": 8500
|
| 845 |
},
|
| 846 |
{
|
| 847 |
-
"epoch": 16.
|
| 848 |
-
"grad_norm": NaN,
|
| 849 |
"learning_rate": 0.0003,
|
| 850 |
-
"loss":
|
| 851 |
"step": 8600
|
| 852 |
},
|
| 853 |
{
|
| 854 |
-
"epoch": 16.
|
| 855 |
-
"grad_norm": NaN,
|
| 856 |
"learning_rate": 0.0003,
|
| 857 |
-
"loss":
|
| 858 |
"step": 8700
|
| 859 |
},
|
| 860 |
{
|
| 861 |
-
"epoch": 16.
|
| 862 |
-
"grad_norm": NaN,
|
| 863 |
"learning_rate": 0.0003,
|
| 864 |
-
"loss":
|
| 865 |
"step": 8800
|
| 866 |
},
|
| 867 |
{
|
| 868 |
-
"epoch": 16.
|
| 869 |
-
"grad_norm": NaN,
|
| 870 |
"learning_rate": 0.0003,
|
| 871 |
-
"loss":
|
| 872 |
"step": 8900
|
| 873 |
},
|
| 874 |
{
|
| 875 |
"epoch": 17.0,
|
| 876 |
-
"eval_accuracy": 0.
|
| 877 |
-
"eval_loss":
|
| 878 |
-
"eval_runtime":
|
| 879 |
-
"eval_samples_per_second":
|
| 880 |
-
"eval_steps_per_second":
|
| 881 |
"step": 8993
|
| 882 |
},
|
| 883 |
{
|
|
@@ -887,54 +798,48 @@
|
|
| 887 |
"step": 8993
|
| 888 |
},
|
| 889 |
{
|
| 890 |
-
"epoch": 17.
|
| 891 |
-
"grad_norm": NaN,
|
| 892 |
"learning_rate": 0.0003,
|
| 893 |
-
"loss":
|
| 894 |
"step": 9000
|
| 895 |
},
|
| 896 |
{
|
| 897 |
-
"epoch": 17.
|
| 898 |
-
"grad_norm": NaN,
|
| 899 |
"learning_rate": 0.0003,
|
| 900 |
-
"loss":
|
| 901 |
"step": 9100
|
| 902 |
},
|
| 903 |
{
|
| 904 |
-
"epoch": 17.
|
| 905 |
-
"grad_norm": NaN,
|
| 906 |
"learning_rate": 0.0003,
|
| 907 |
-
"loss":
|
| 908 |
"step": 9200
|
| 909 |
},
|
| 910 |
{
|
| 911 |
-
"epoch": 17.
|
| 912 |
-
"grad_norm": NaN,
|
| 913 |
"learning_rate": 0.0003,
|
| 914 |
-
"loss":
|
| 915 |
"step": 9300
|
| 916 |
},
|
| 917 |
{
|
| 918 |
-
"epoch": 17.
|
| 919 |
-
"grad_norm": NaN,
|
| 920 |
"learning_rate": 0.0003,
|
| 921 |
-
"loss":
|
| 922 |
"step": 9400
|
| 923 |
},
|
| 924 |
{
|
| 925 |
-
"epoch": 17.
|
| 926 |
-
"grad_norm": NaN,
|
| 927 |
"learning_rate": 0.0003,
|
| 928 |
-
"loss":
|
| 929 |
"step": 9500
|
| 930 |
},
|
| 931 |
{
|
| 932 |
"epoch": 18.0,
|
| 933 |
-
"eval_accuracy": 0.
|
| 934 |
-
"eval_loss":
|
| 935 |
-
"eval_runtime":
|
| 936 |
-
"eval_samples_per_second":
|
| 937 |
-
"eval_steps_per_second":
|
| 938 |
"step": 9522
|
| 939 |
},
|
| 940 |
{
|
|
@@ -944,47 +849,42 @@
|
|
| 944 |
"step": 9522
|
| 945 |
},
|
| 946 |
{
|
| 947 |
-
"epoch": 18.
|
| 948 |
-
"grad_norm": NaN,
|
| 949 |
"learning_rate": 0.0003,
|
| 950 |
-
"loss":
|
| 951 |
"step": 9600
|
| 952 |
},
|
| 953 |
{
|
| 954 |
-
"epoch": 18.
|
| 955 |
-
"grad_norm": NaN,
|
| 956 |
"learning_rate": 0.0003,
|
| 957 |
-
"loss":
|
| 958 |
"step": 9700
|
| 959 |
},
|
| 960 |
{
|
| 961 |
-
"epoch": 18.
|
| 962 |
-
"grad_norm": NaN,
|
| 963 |
"learning_rate": 0.0003,
|
| 964 |
-
"loss":
|
| 965 |
"step": 9800
|
| 966 |
},
|
| 967 |
{
|
| 968 |
-
"epoch": 18.
|
| 969 |
-
"grad_norm": NaN,
|
| 970 |
"learning_rate": 0.0003,
|
| 971 |
-
"loss":
|
| 972 |
"step": 9900
|
| 973 |
},
|
| 974 |
{
|
| 975 |
-
"epoch": 18.
|
| 976 |
-
"grad_norm": NaN,
|
| 977 |
"learning_rate": 0.0003,
|
| 978 |
-
"loss":
|
| 979 |
"step": 10000
|
| 980 |
},
|
| 981 |
{
|
| 982 |
"epoch": 19.0,
|
| 983 |
-
"eval_accuracy": 0.
|
| 984 |
-
"eval_loss":
|
| 985 |
-
"eval_runtime":
|
| 986 |
-
"eval_samples_per_second":
|
| 987 |
-
"eval_steps_per_second":
|
| 988 |
"step": 10051
|
| 989 |
},
|
| 990 |
{
|
|
@@ -994,47 +894,42 @@
|
|
| 994 |
"step": 10051
|
| 995 |
},
|
| 996 |
{
|
| 997 |
-
"epoch": 19.
|
| 998 |
-
"grad_norm": NaN,
|
| 999 |
"learning_rate": 0.0003,
|
| 1000 |
-
"loss":
|
| 1001 |
"step": 10100
|
| 1002 |
},
|
| 1003 |
{
|
| 1004 |
-
"epoch": 19.
|
| 1005 |
-
"grad_norm": NaN,
|
| 1006 |
"learning_rate": 0.0003,
|
| 1007 |
-
"loss":
|
| 1008 |
"step": 10200
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
-
"epoch": 19.
|
| 1012 |
-
"grad_norm": NaN,
|
| 1013 |
"learning_rate": 0.0003,
|
| 1014 |
-
"loss":
|
| 1015 |
"step": 10300
|
| 1016 |
},
|
| 1017 |
{
|
| 1018 |
-
"epoch": 19.
|
| 1019 |
-
"grad_norm": NaN,
|
| 1020 |
"learning_rate": 0.0003,
|
| 1021 |
-
"loss":
|
| 1022 |
"step": 10400
|
| 1023 |
},
|
| 1024 |
{
|
| 1025 |
-
"epoch": 19.
|
| 1026 |
-
"grad_norm": NaN,
|
| 1027 |
"learning_rate": 0.0003,
|
| 1028 |
-
"loss":
|
| 1029 |
"step": 10500
|
| 1030 |
},
|
| 1031 |
{
|
| 1032 |
"epoch": 20.0,
|
| 1033 |
-
"eval_accuracy": 0.
|
| 1034 |
-
"eval_loss":
|
| 1035 |
-
"eval_runtime":
|
| 1036 |
-
"eval_samples_per_second":
|
| 1037 |
-
"eval_steps_per_second":
|
| 1038 |
"step": 10580
|
| 1039 |
},
|
| 1040 |
{
|
|
@@ -1044,54 +939,48 @@
|
|
| 1044 |
"step": 10580
|
| 1045 |
},
|
| 1046 |
{
|
| 1047 |
-
"epoch": 20.
|
| 1048 |
-
"grad_norm": NaN,
|
| 1049 |
"learning_rate": 0.0003,
|
| 1050 |
-
"loss":
|
| 1051 |
"step": 10600
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
-
"epoch": 20.
|
| 1055 |
-
"grad_norm": NaN,
|
| 1056 |
"learning_rate": 0.0003,
|
| 1057 |
-
"loss":
|
| 1058 |
"step": 10700
|
| 1059 |
},
|
| 1060 |
{
|
| 1061 |
-
"epoch": 20.
|
| 1062 |
-
"grad_norm": NaN,
|
| 1063 |
"learning_rate": 0.0003,
|
| 1064 |
-
"loss":
|
| 1065 |
"step": 10800
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
-
"epoch": 20.
|
| 1069 |
-
"grad_norm": NaN,
|
| 1070 |
"learning_rate": 0.0003,
|
| 1071 |
-
"loss":
|
| 1072 |
"step": 10900
|
| 1073 |
},
|
| 1074 |
{
|
| 1075 |
-
"epoch": 20.
|
| 1076 |
-
"grad_norm": NaN,
|
| 1077 |
"learning_rate": 0.0003,
|
| 1078 |
-
"loss":
|
| 1079 |
"step": 11000
|
| 1080 |
},
|
| 1081 |
{
|
| 1082 |
-
"epoch": 20.
|
| 1083 |
-
"grad_norm": NaN,
|
| 1084 |
"learning_rate": 0.0003,
|
| 1085 |
-
"loss":
|
| 1086 |
"step": 11100
|
| 1087 |
},
|
| 1088 |
{
|
| 1089 |
"epoch": 21.0,
|
| 1090 |
-
"eval_accuracy": 0.
|
| 1091 |
-
"eval_loss":
|
| 1092 |
-
"eval_runtime":
|
| 1093 |
-
"eval_samples_per_second":
|
| 1094 |
-
"eval_steps_per_second":
|
| 1095 |
"step": 11109
|
| 1096 |
},
|
| 1097 |
{
|
|
@@ -1101,47 +990,42 @@
|
|
| 1101 |
"step": 11109
|
| 1102 |
},
|
| 1103 |
{
|
| 1104 |
-
"epoch": 21.
|
| 1105 |
-
"grad_norm": NaN,
|
| 1106 |
"learning_rate": 0.0003,
|
| 1107 |
-
"loss":
|
| 1108 |
"step": 11200
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
-
"epoch": 21.
|
| 1112 |
-
"grad_norm": NaN,
|
| 1113 |
"learning_rate": 0.0003,
|
| 1114 |
-
"loss":
|
| 1115 |
"step": 11300
|
| 1116 |
},
|
| 1117 |
{
|
| 1118 |
-
"epoch": 21.
|
| 1119 |
-
"grad_norm": NaN,
|
| 1120 |
"learning_rate": 0.0003,
|
| 1121 |
-
"loss":
|
| 1122 |
"step": 11400
|
| 1123 |
},
|
| 1124 |
{
|
| 1125 |
-
"epoch": 21.
|
| 1126 |
-
"grad_norm": NaN,
|
| 1127 |
"learning_rate": 0.0003,
|
| 1128 |
-
"loss":
|
| 1129 |
"step": 11500
|
| 1130 |
},
|
| 1131 |
{
|
| 1132 |
-
"epoch": 21.
|
| 1133 |
-
"grad_norm": NaN,
|
| 1134 |
"learning_rate": 0.0003,
|
| 1135 |
-
"loss":
|
| 1136 |
"step": 11600
|
| 1137 |
},
|
| 1138 |
{
|
| 1139 |
"epoch": 22.0,
|
| 1140 |
-
"eval_accuracy": 0.
|
| 1141 |
-
"eval_loss":
|
| 1142 |
-
"eval_runtime":
|
| 1143 |
-
"eval_samples_per_second":
|
| 1144 |
-
"eval_steps_per_second":
|
| 1145 |
"step": 11638
|
| 1146 |
},
|
| 1147 |
{
|
|
@@ -1151,47 +1035,42 @@
|
|
| 1151 |
"step": 11638
|
| 1152 |
},
|
| 1153 |
{
|
| 1154 |
-
"epoch": 22.
|
| 1155 |
-
"grad_norm": NaN,
|
| 1156 |
"learning_rate": 0.0003,
|
| 1157 |
-
"loss":
|
| 1158 |
"step": 11700
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
-
"epoch": 22.
|
| 1162 |
-
"grad_norm": NaN,
|
| 1163 |
"learning_rate": 0.0003,
|
| 1164 |
-
"loss":
|
| 1165 |
"step": 11800
|
| 1166 |
},
|
| 1167 |
{
|
| 1168 |
-
"epoch": 22.
|
| 1169 |
-
"grad_norm": NaN,
|
| 1170 |
"learning_rate": 0.0003,
|
| 1171 |
-
"loss":
|
| 1172 |
"step": 11900
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
-
"epoch": 22.
|
| 1176 |
-
"grad_norm": NaN,
|
| 1177 |
"learning_rate": 0.0003,
|
| 1178 |
-
"loss":
|
| 1179 |
"step": 12000
|
| 1180 |
},
|
| 1181 |
{
|
| 1182 |
-
"epoch": 22.
|
| 1183 |
-
"grad_norm": NaN,
|
| 1184 |
"learning_rate": 0.0003,
|
| 1185 |
-
"loss":
|
| 1186 |
"step": 12100
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 23.0,
|
| 1190 |
-
"eval_accuracy": 0.
|
| 1191 |
-
"eval_loss":
|
| 1192 |
-
"eval_runtime":
|
| 1193 |
-
"eval_samples_per_second":
|
| 1194 |
-
"eval_steps_per_second":
|
| 1195 |
"step": 12167
|
| 1196 |
},
|
| 1197 |
{
|
|
@@ -1201,47 +1080,42 @@
|
|
| 1201 |
"step": 12167
|
| 1202 |
},
|
| 1203 |
{
|
| 1204 |
-
"epoch": 23.
|
| 1205 |
-
"grad_norm": NaN,
|
| 1206 |
"learning_rate": 0.0003,
|
| 1207 |
-
"loss":
|
| 1208 |
"step": 12200
|
| 1209 |
},
|
| 1210 |
{
|
| 1211 |
-
"epoch": 23.
|
| 1212 |
-
"grad_norm": NaN,
|
| 1213 |
"learning_rate": 0.0003,
|
| 1214 |
-
"loss":
|
| 1215 |
"step": 12300
|
| 1216 |
},
|
| 1217 |
{
|
| 1218 |
-
"epoch": 23.
|
| 1219 |
-
"grad_norm": NaN,
|
| 1220 |
"learning_rate": 0.0003,
|
| 1221 |
-
"loss":
|
| 1222 |
"step": 12400
|
| 1223 |
},
|
| 1224 |
{
|
| 1225 |
-
"epoch": 23.
|
| 1226 |
-
"grad_norm": NaN,
|
| 1227 |
"learning_rate": 0.0003,
|
| 1228 |
-
"loss":
|
| 1229 |
"step": 12500
|
| 1230 |
},
|
| 1231 |
{
|
| 1232 |
-
"epoch": 23.
|
| 1233 |
-
"grad_norm": NaN,
|
| 1234 |
"learning_rate": 0.0003,
|
| 1235 |
-
"loss":
|
| 1236 |
"step": 12600
|
| 1237 |
},
|
| 1238 |
{
|
| 1239 |
"epoch": 24.0,
|
| 1240 |
-
"eval_accuracy": 0.
|
| 1241 |
-
"eval_loss":
|
| 1242 |
-
"eval_runtime":
|
| 1243 |
-
"eval_samples_per_second":
|
| 1244 |
-
"eval_steps_per_second":
|
| 1245 |
"step": 12696
|
| 1246 |
},
|
| 1247 |
{
|
|
@@ -1251,54 +1125,48 @@
|
|
| 1251 |
"step": 12696
|
| 1252 |
},
|
| 1253 |
{
|
| 1254 |
-
"epoch": 24.
|
| 1255 |
-
"grad_norm": NaN,
|
| 1256 |
"learning_rate": 0.0003,
|
| 1257 |
-
"loss":
|
| 1258 |
"step": 12700
|
| 1259 |
},
|
| 1260 |
{
|
| 1261 |
-
"epoch": 24.
|
| 1262 |
-
"grad_norm": NaN,
|
| 1263 |
"learning_rate": 0.0003,
|
| 1264 |
-
"loss":
|
| 1265 |
"step": 12800
|
| 1266 |
},
|
| 1267 |
{
|
| 1268 |
-
"epoch": 24.
|
| 1269 |
-
"grad_norm": NaN,
|
| 1270 |
"learning_rate": 0.0003,
|
| 1271 |
-
"loss":
|
| 1272 |
"step": 12900
|
| 1273 |
},
|
| 1274 |
{
|
| 1275 |
-
"epoch": 24.
|
| 1276 |
-
"grad_norm": NaN,
|
| 1277 |
"learning_rate": 0.0003,
|
| 1278 |
-
"loss":
|
| 1279 |
"step": 13000
|
| 1280 |
},
|
| 1281 |
{
|
| 1282 |
-
"epoch": 24.
|
| 1283 |
-
"grad_norm": NaN,
|
| 1284 |
"learning_rate": 0.0003,
|
| 1285 |
-
"loss":
|
| 1286 |
"step": 13100
|
| 1287 |
},
|
| 1288 |
{
|
| 1289 |
-
"epoch": 24.
|
| 1290 |
-
"grad_norm": NaN,
|
| 1291 |
"learning_rate": 0.0003,
|
| 1292 |
-
"loss":
|
| 1293 |
"step": 13200
|
| 1294 |
},
|
| 1295 |
{
|
| 1296 |
"epoch": 25.0,
|
| 1297 |
-
"eval_accuracy": 0.
|
| 1298 |
-
"eval_loss":
|
| 1299 |
-
"eval_runtime":
|
| 1300 |
-
"eval_samples_per_second":
|
| 1301 |
-
"eval_steps_per_second":
|
| 1302 |
"step": 13225
|
| 1303 |
},
|
| 1304 |
{
|
|
@@ -1308,47 +1176,42 @@
|
|
| 1308 |
"step": 13225
|
| 1309 |
},
|
| 1310 |
{
|
| 1311 |
-
"epoch": 25.
|
| 1312 |
-
"grad_norm": NaN,
|
| 1313 |
"learning_rate": 0.0003,
|
| 1314 |
-
"loss":
|
| 1315 |
"step": 13300
|
| 1316 |
},
|
| 1317 |
{
|
| 1318 |
-
"epoch": 25.
|
| 1319 |
-
"grad_norm": NaN,
|
| 1320 |
"learning_rate": 0.0003,
|
| 1321 |
-
"loss":
|
| 1322 |
"step": 13400
|
| 1323 |
},
|
| 1324 |
{
|
| 1325 |
-
"epoch": 25.
|
| 1326 |
-
"grad_norm": NaN,
|
| 1327 |
"learning_rate": 0.0003,
|
| 1328 |
-
"loss":
|
| 1329 |
"step": 13500
|
| 1330 |
},
|
| 1331 |
{
|
| 1332 |
-
"epoch": 25.
|
| 1333 |
-
"grad_norm": NaN,
|
| 1334 |
"learning_rate": 0.0003,
|
| 1335 |
-
"loss":
|
| 1336 |
"step": 13600
|
| 1337 |
},
|
| 1338 |
{
|
| 1339 |
-
"epoch": 25.
|
| 1340 |
-
"grad_norm": NaN,
|
| 1341 |
"learning_rate": 0.0003,
|
| 1342 |
-
"loss":
|
| 1343 |
"step": 13700
|
| 1344 |
},
|
| 1345 |
{
|
| 1346 |
"epoch": 26.0,
|
| 1347 |
-
"eval_accuracy": 0.
|
| 1348 |
-
"eval_loss":
|
| 1349 |
-
"eval_runtime":
|
| 1350 |
-
"eval_samples_per_second":
|
| 1351 |
-
"eval_steps_per_second":
|
| 1352 |
"step": 13754
|
| 1353 |
},
|
| 1354 |
{
|
|
@@ -1358,47 +1221,42 @@
|
|
| 1358 |
"step": 13754
|
| 1359 |
},
|
| 1360 |
{
|
| 1361 |
-
"epoch": 26.
|
| 1362 |
-
"grad_norm": NaN,
|
| 1363 |
"learning_rate": 0.0003,
|
| 1364 |
-
"loss":
|
| 1365 |
"step": 13800
|
| 1366 |
},
|
| 1367 |
{
|
| 1368 |
-
"epoch": 26.
|
| 1369 |
-
"grad_norm": NaN,
|
| 1370 |
"learning_rate": 0.0003,
|
| 1371 |
-
"loss":
|
| 1372 |
"step": 13900
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
-
"epoch": 26.
|
| 1376 |
-
"grad_norm": NaN,
|
| 1377 |
"learning_rate": 0.0003,
|
| 1378 |
-
"loss":
|
| 1379 |
"step": 14000
|
| 1380 |
},
|
| 1381 |
{
|
| 1382 |
-
"epoch": 26.
|
| 1383 |
-
"grad_norm": NaN,
|
| 1384 |
"learning_rate": 0.0003,
|
| 1385 |
-
"loss":
|
| 1386 |
"step": 14100
|
| 1387 |
},
|
| 1388 |
{
|
| 1389 |
-
"epoch": 26.
|
| 1390 |
-
"grad_norm": NaN,
|
| 1391 |
"learning_rate": 0.0003,
|
| 1392 |
-
"loss":
|
| 1393 |
"step": 14200
|
| 1394 |
},
|
| 1395 |
{
|
| 1396 |
"epoch": 27.0,
|
| 1397 |
-
"eval_accuracy": 0.
|
| 1398 |
-
"eval_loss":
|
| 1399 |
-
"eval_runtime":
|
| 1400 |
-
"eval_samples_per_second":
|
| 1401 |
-
"eval_steps_per_second":
|
| 1402 |
"step": 14283
|
| 1403 |
},
|
| 1404 |
{
|
|
@@ -1408,54 +1266,48 @@
|
|
| 1408 |
"step": 14283
|
| 1409 |
},
|
| 1410 |
{
|
| 1411 |
-
"epoch": 27.
|
| 1412 |
-
"grad_norm": NaN,
|
| 1413 |
"learning_rate": 0.0003,
|
| 1414 |
-
"loss":
|
| 1415 |
"step": 14300
|
| 1416 |
},
|
| 1417 |
{
|
| 1418 |
-
"epoch": 27.
|
| 1419 |
-
"grad_norm": NaN,
|
| 1420 |
"learning_rate": 0.0003,
|
| 1421 |
-
"loss":
|
| 1422 |
"step": 14400
|
| 1423 |
},
|
| 1424 |
{
|
| 1425 |
-
"epoch": 27.
|
| 1426 |
-
"grad_norm": NaN,
|
| 1427 |
"learning_rate": 0.0003,
|
| 1428 |
-
"loss":
|
| 1429 |
"step": 14500
|
| 1430 |
},
|
| 1431 |
{
|
| 1432 |
-
"epoch": 27.
|
| 1433 |
-
"grad_norm": NaN,
|
| 1434 |
"learning_rate": 0.0003,
|
| 1435 |
-
"loss":
|
| 1436 |
"step": 14600
|
| 1437 |
},
|
| 1438 |
{
|
| 1439 |
-
"epoch": 27.
|
| 1440 |
-
"grad_norm": NaN,
|
| 1441 |
"learning_rate": 0.0003,
|
| 1442 |
-
"loss":
|
| 1443 |
"step": 14700
|
| 1444 |
},
|
| 1445 |
{
|
| 1446 |
-
"epoch": 27.
|
| 1447 |
-
"grad_norm": NaN,
|
| 1448 |
"learning_rate": 0.0003,
|
| 1449 |
-
"loss":
|
| 1450 |
"step": 14800
|
| 1451 |
},
|
| 1452 |
{
|
| 1453 |
"epoch": 28.0,
|
| 1454 |
-
"eval_accuracy": 0.
|
| 1455 |
-
"eval_loss":
|
| 1456 |
-
"eval_runtime":
|
| 1457 |
-
"eval_samples_per_second":
|
| 1458 |
-
"eval_steps_per_second":
|
| 1459 |
"step": 14812
|
| 1460 |
},
|
| 1461 |
{
|
|
@@ -1465,47 +1317,42 @@
|
|
| 1465 |
"step": 14812
|
| 1466 |
},
|
| 1467 |
{
|
| 1468 |
-
"epoch": 28.
|
| 1469 |
-
"grad_norm": NaN,
|
| 1470 |
"learning_rate": 0.0003,
|
| 1471 |
-
"loss":
|
| 1472 |
"step": 14900
|
| 1473 |
},
|
| 1474 |
{
|
| 1475 |
-
"epoch": 28.
|
| 1476 |
-
"grad_norm": NaN,
|
| 1477 |
"learning_rate": 0.0003,
|
| 1478 |
-
"loss":
|
| 1479 |
"step": 15000
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
-
"epoch": 28.
|
| 1483 |
-
"grad_norm": NaN,
|
| 1484 |
"learning_rate": 0.0003,
|
| 1485 |
-
"loss":
|
| 1486 |
"step": 15100
|
| 1487 |
},
|
| 1488 |
{
|
| 1489 |
-
"epoch": 28.
|
| 1490 |
-
"grad_norm": NaN,
|
| 1491 |
"learning_rate": 0.0003,
|
| 1492 |
-
"loss":
|
| 1493 |
"step": 15200
|
| 1494 |
},
|
| 1495 |
{
|
| 1496 |
-
"epoch": 28.
|
| 1497 |
-
"grad_norm": NaN,
|
| 1498 |
"learning_rate": 0.0003,
|
| 1499 |
-
"loss":
|
| 1500 |
"step": 15300
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
"epoch": 29.0,
|
| 1504 |
-
"eval_accuracy": 0.
|
| 1505 |
-
"eval_loss":
|
| 1506 |
-
"eval_runtime":
|
| 1507 |
-
"eval_samples_per_second":
|
| 1508 |
-
"eval_steps_per_second":
|
| 1509 |
"step": 15341
|
| 1510 |
},
|
| 1511 |
{
|
|
@@ -1515,47 +1362,42 @@
|
|
| 1515 |
"step": 15341
|
| 1516 |
},
|
| 1517 |
{
|
| 1518 |
-
"epoch": 29.
|
| 1519 |
-
"grad_norm": NaN,
|
| 1520 |
"learning_rate": 0.0003,
|
| 1521 |
-
"loss":
|
| 1522 |
"step": 15400
|
| 1523 |
},
|
| 1524 |
{
|
| 1525 |
-
"epoch": 29.
|
| 1526 |
-
"grad_norm": NaN,
|
| 1527 |
"learning_rate": 0.0003,
|
| 1528 |
-
"loss":
|
| 1529 |
"step": 15500
|
| 1530 |
},
|
| 1531 |
{
|
| 1532 |
-
"epoch": 29.
|
| 1533 |
-
"grad_norm": NaN,
|
| 1534 |
"learning_rate": 0.0003,
|
| 1535 |
-
"loss":
|
| 1536 |
"step": 15600
|
| 1537 |
},
|
| 1538 |
{
|
| 1539 |
-
"epoch": 29.
|
| 1540 |
-
"grad_norm": NaN,
|
| 1541 |
"learning_rate": 0.0003,
|
| 1542 |
-
"loss":
|
| 1543 |
"step": 15700
|
| 1544 |
},
|
| 1545 |
{
|
| 1546 |
-
"epoch": 29.
|
| 1547 |
-
"grad_norm": NaN,
|
| 1548 |
"learning_rate": 0.0003,
|
| 1549 |
-
"loss":
|
| 1550 |
"step": 15800
|
| 1551 |
},
|
| 1552 |
{
|
| 1553 |
"epoch": 30.0,
|
| 1554 |
-
"eval_accuracy": 0.
|
| 1555 |
-
"eval_loss":
|
| 1556 |
-
"eval_runtime":
|
| 1557 |
-
"eval_samples_per_second":
|
| 1558 |
-
"eval_steps_per_second":
|
| 1559 |
"step": 15870
|
| 1560 |
},
|
| 1561 |
{
|
|
@@ -1565,47 +1407,42 @@
|
|
| 1565 |
"step": 15870
|
| 1566 |
},
|
| 1567 |
{
|
| 1568 |
-
"epoch": 30.
|
| 1569 |
-
"grad_norm": NaN,
|
| 1570 |
"learning_rate": 0.0003,
|
| 1571 |
-
"loss":
|
| 1572 |
"step": 15900
|
| 1573 |
},
|
| 1574 |
{
|
| 1575 |
-
"epoch": 30.
|
| 1576 |
-
"grad_norm": NaN,
|
| 1577 |
"learning_rate": 0.0003,
|
| 1578 |
-
"loss":
|
| 1579 |
"step": 16000
|
| 1580 |
},
|
| 1581 |
{
|
| 1582 |
-
"epoch": 30.
|
| 1583 |
-
"grad_norm": NaN,
|
| 1584 |
"learning_rate": 0.0003,
|
| 1585 |
-
"loss":
|
| 1586 |
"step": 16100
|
| 1587 |
},
|
| 1588 |
{
|
| 1589 |
-
"epoch": 30.
|
| 1590 |
-
"grad_norm": NaN,
|
| 1591 |
"learning_rate": 0.0003,
|
| 1592 |
-
"loss":
|
| 1593 |
"step": 16200
|
| 1594 |
},
|
| 1595 |
{
|
| 1596 |
-
"epoch": 30.
|
| 1597 |
-
"grad_norm": NaN,
|
| 1598 |
"learning_rate": 0.0003,
|
| 1599 |
-
"loss":
|
| 1600 |
"step": 16300
|
| 1601 |
},
|
| 1602 |
{
|
| 1603 |
"epoch": 31.0,
|
| 1604 |
-
"eval_accuracy": 0.
|
| 1605 |
-
"eval_loss":
|
| 1606 |
-
"eval_runtime":
|
| 1607 |
-
"eval_samples_per_second":
|
| 1608 |
-
"eval_steps_per_second":
|
| 1609 |
"step": 16399
|
| 1610 |
},
|
| 1611 |
{
|
|
@@ -1615,54 +1452,48 @@
|
|
| 1615 |
"step": 16399
|
| 1616 |
},
|
| 1617 |
{
|
| 1618 |
-
"epoch": 31.
|
| 1619 |
-
"grad_norm": NaN,
|
| 1620 |
"learning_rate": 0.0003,
|
| 1621 |
-
"loss":
|
| 1622 |
"step": 16400
|
| 1623 |
},
|
| 1624 |
{
|
| 1625 |
-
"epoch": 31.
|
| 1626 |
-
"grad_norm": NaN,
|
| 1627 |
"learning_rate": 0.0003,
|
| 1628 |
-
"loss":
|
| 1629 |
"step": 16500
|
| 1630 |
},
|
| 1631 |
{
|
| 1632 |
-
"epoch": 31.
|
| 1633 |
-
"grad_norm": NaN,
|
| 1634 |
"learning_rate": 0.0003,
|
| 1635 |
-
"loss":
|
| 1636 |
"step": 16600
|
| 1637 |
},
|
| 1638 |
{
|
| 1639 |
-
"epoch": 31.
|
| 1640 |
-
"grad_norm": NaN,
|
| 1641 |
"learning_rate": 0.0003,
|
| 1642 |
-
"loss":
|
| 1643 |
"step": 16700
|
| 1644 |
},
|
| 1645 |
{
|
| 1646 |
-
"epoch": 31.
|
| 1647 |
-
"grad_norm": NaN,
|
| 1648 |
"learning_rate": 0.0003,
|
| 1649 |
-
"loss":
|
| 1650 |
"step": 16800
|
| 1651 |
},
|
| 1652 |
{
|
| 1653 |
-
"epoch": 31.
|
| 1654 |
-
"grad_norm": NaN,
|
| 1655 |
"learning_rate": 0.0003,
|
| 1656 |
-
"loss":
|
| 1657 |
"step": 16900
|
| 1658 |
},
|
| 1659 |
{
|
| 1660 |
"epoch": 32.0,
|
| 1661 |
-
"eval_accuracy": 0.
|
| 1662 |
-
"eval_loss":
|
| 1663 |
-
"eval_runtime":
|
| 1664 |
-
"eval_samples_per_second":
|
| 1665 |
-
"eval_steps_per_second":
|
| 1666 |
"step": 16928
|
| 1667 |
},
|
| 1668 |
{
|
|
@@ -1672,47 +1503,42 @@
|
|
| 1672 |
"step": 16928
|
| 1673 |
},
|
| 1674 |
{
|
| 1675 |
-
"epoch": 32.
|
| 1676 |
-
"grad_norm": NaN,
|
| 1677 |
"learning_rate": 0.0003,
|
| 1678 |
-
"loss":
|
| 1679 |
"step": 17000
|
| 1680 |
},
|
| 1681 |
{
|
| 1682 |
-
"epoch": 32.
|
| 1683 |
-
"grad_norm": NaN,
|
| 1684 |
"learning_rate": 0.0003,
|
| 1685 |
-
"loss":
|
| 1686 |
"step": 17100
|
| 1687 |
},
|
| 1688 |
{
|
| 1689 |
-
"epoch": 32.
|
| 1690 |
-
"grad_norm": NaN,
|
| 1691 |
"learning_rate": 0.0003,
|
| 1692 |
-
"loss":
|
| 1693 |
"step": 17200
|
| 1694 |
},
|
| 1695 |
{
|
| 1696 |
-
"epoch": 32.
|
| 1697 |
-
"grad_norm": NaN,
|
| 1698 |
"learning_rate": 0.0003,
|
| 1699 |
-
"loss":
|
| 1700 |
"step": 17300
|
| 1701 |
},
|
| 1702 |
{
|
| 1703 |
-
"epoch": 32.
|
| 1704 |
-
"grad_norm": NaN,
|
| 1705 |
"learning_rate": 0.0003,
|
| 1706 |
-
"loss":
|
| 1707 |
"step": 17400
|
| 1708 |
},
|
| 1709 |
{
|
| 1710 |
"epoch": 33.0,
|
| 1711 |
-
"eval_accuracy": 0.
|
| 1712 |
-
"eval_loss":
|
| 1713 |
-
"eval_runtime":
|
| 1714 |
-
"eval_samples_per_second":
|
| 1715 |
-
"eval_steps_per_second":
|
| 1716 |
"step": 17457
|
| 1717 |
},
|
| 1718 |
{
|
|
@@ -1722,47 +1548,42 @@
|
|
| 1722 |
"step": 17457
|
| 1723 |
},
|
| 1724 |
{
|
| 1725 |
-
"epoch": 33.
|
| 1726 |
-
"grad_norm": NaN,
|
| 1727 |
"learning_rate": 0.0003,
|
| 1728 |
-
"loss":
|
| 1729 |
"step": 17500
|
| 1730 |
},
|
| 1731 |
{
|
| 1732 |
-
"epoch": 33.
|
| 1733 |
-
"grad_norm": NaN,
|
| 1734 |
"learning_rate": 0.0003,
|
| 1735 |
-
"loss":
|
| 1736 |
"step": 17600
|
| 1737 |
},
|
| 1738 |
{
|
| 1739 |
-
"epoch": 33.
|
| 1740 |
-
"grad_norm": NaN,
|
| 1741 |
"learning_rate": 0.0003,
|
| 1742 |
-
"loss":
|
| 1743 |
"step": 17700
|
| 1744 |
},
|
| 1745 |
{
|
| 1746 |
-
"epoch": 33.
|
| 1747 |
-
"grad_norm": NaN,
|
| 1748 |
"learning_rate": 0.0003,
|
| 1749 |
-
"loss":
|
| 1750 |
"step": 17800
|
| 1751 |
},
|
| 1752 |
{
|
| 1753 |
-
"epoch": 33.
|
| 1754 |
-
"grad_norm": NaN,
|
| 1755 |
"learning_rate": 0.0003,
|
| 1756 |
-
"loss":
|
| 1757 |
"step": 17900
|
| 1758 |
},
|
| 1759 |
{
|
| 1760 |
"epoch": 34.0,
|
| 1761 |
-
"eval_accuracy": 0.
|
| 1762 |
-
"eval_loss":
|
| 1763 |
-
"eval_runtime":
|
| 1764 |
-
"eval_samples_per_second":
|
| 1765 |
-
"eval_steps_per_second":
|
| 1766 |
"step": 17986
|
| 1767 |
},
|
| 1768 |
{
|
|
@@ -1772,54 +1593,48 @@
|
|
| 1772 |
"step": 17986
|
| 1773 |
},
|
| 1774 |
{
|
| 1775 |
-
"epoch": 34.
|
| 1776 |
-
"grad_norm": NaN,
|
| 1777 |
"learning_rate": 0.0003,
|
| 1778 |
-
"loss":
|
| 1779 |
"step": 18000
|
| 1780 |
},
|
| 1781 |
{
|
| 1782 |
-
"epoch": 34.
|
| 1783 |
-
"grad_norm": NaN,
|
| 1784 |
"learning_rate": 0.0003,
|
| 1785 |
-
"loss":
|
| 1786 |
"step": 18100
|
| 1787 |
},
|
| 1788 |
{
|
| 1789 |
-
"epoch": 34.
|
| 1790 |
-
"grad_norm": NaN,
|
| 1791 |
"learning_rate": 0.0003,
|
| 1792 |
-
"loss":
|
| 1793 |
"step": 18200
|
| 1794 |
},
|
| 1795 |
{
|
| 1796 |
-
"epoch": 34.
|
| 1797 |
-
"grad_norm": NaN,
|
| 1798 |
"learning_rate": 0.0003,
|
| 1799 |
-
"loss":
|
| 1800 |
"step": 18300
|
| 1801 |
},
|
| 1802 |
{
|
| 1803 |
-
"epoch": 34.
|
| 1804 |
-
"grad_norm": NaN,
|
| 1805 |
"learning_rate": 0.0003,
|
| 1806 |
-
"loss":
|
| 1807 |
"step": 18400
|
| 1808 |
},
|
| 1809 |
{
|
| 1810 |
-
"epoch": 34.
|
| 1811 |
-
"grad_norm": NaN,
|
| 1812 |
"learning_rate": 0.0003,
|
| 1813 |
-
"loss":
|
| 1814 |
"step": 18500
|
| 1815 |
},
|
| 1816 |
{
|
| 1817 |
"epoch": 35.0,
|
| 1818 |
-
"eval_accuracy": 0.
|
| 1819 |
-
"eval_loss":
|
| 1820 |
-
"eval_runtime":
|
| 1821 |
-
"eval_samples_per_second":
|
| 1822 |
-
"eval_steps_per_second":
|
| 1823 |
"step": 18515
|
| 1824 |
},
|
| 1825 |
{
|
|
@@ -1829,47 +1644,42 @@
|
|
| 1829 |
"step": 18515
|
| 1830 |
},
|
| 1831 |
{
|
| 1832 |
-
"epoch": 35.
|
| 1833 |
-
"grad_norm": NaN,
|
| 1834 |
"learning_rate": 0.0003,
|
| 1835 |
-
"loss":
|
| 1836 |
"step": 18600
|
| 1837 |
},
|
| 1838 |
{
|
| 1839 |
-
"epoch": 35.
|
| 1840 |
-
"grad_norm": NaN,
|
| 1841 |
"learning_rate": 0.0003,
|
| 1842 |
-
"loss":
|
| 1843 |
"step": 18700
|
| 1844 |
},
|
| 1845 |
{
|
| 1846 |
-
"epoch": 35.
|
| 1847 |
-
"grad_norm": NaN,
|
| 1848 |
"learning_rate": 0.0003,
|
| 1849 |
-
"loss":
|
| 1850 |
"step": 18800
|
| 1851 |
},
|
| 1852 |
{
|
| 1853 |
-
"epoch": 35.
|
| 1854 |
-
"grad_norm": NaN,
|
| 1855 |
"learning_rate": 0.0003,
|
| 1856 |
-
"loss":
|
| 1857 |
"step": 18900
|
| 1858 |
},
|
| 1859 |
{
|
| 1860 |
-
"epoch": 35.
|
| 1861 |
-
"grad_norm": NaN,
|
| 1862 |
"learning_rate": 0.0003,
|
| 1863 |
-
"loss":
|
| 1864 |
"step": 19000
|
| 1865 |
},
|
| 1866 |
{
|
| 1867 |
"epoch": 36.0,
|
| 1868 |
-
"eval_accuracy": 0.
|
| 1869 |
-
"eval_loss":
|
| 1870 |
-
"eval_runtime":
|
| 1871 |
-
"eval_samples_per_second":
|
| 1872 |
-
"eval_steps_per_second":
|
| 1873 |
"step": 19044
|
| 1874 |
},
|
| 1875 |
{
|
|
@@ -1879,47 +1689,42 @@
|
|
| 1879 |
"step": 19044
|
| 1880 |
},
|
| 1881 |
{
|
| 1882 |
-
"epoch": 36.
|
| 1883 |
-
"grad_norm": NaN,
|
| 1884 |
"learning_rate": 0.0003,
|
| 1885 |
-
"loss":
|
| 1886 |
"step": 19100
|
| 1887 |
},
|
| 1888 |
{
|
| 1889 |
-
"epoch": 36.
|
| 1890 |
-
"grad_norm": NaN,
|
| 1891 |
"learning_rate": 0.0003,
|
| 1892 |
-
"loss":
|
| 1893 |
"step": 19200
|
| 1894 |
},
|
| 1895 |
{
|
| 1896 |
-
"epoch": 36.
|
| 1897 |
-
"grad_norm": NaN,
|
| 1898 |
"learning_rate": 0.0003,
|
| 1899 |
-
"loss":
|
| 1900 |
"step": 19300
|
| 1901 |
},
|
| 1902 |
{
|
| 1903 |
-
"epoch": 36.
|
| 1904 |
-
"grad_norm": NaN,
|
| 1905 |
"learning_rate": 0.0003,
|
| 1906 |
-
"loss":
|
| 1907 |
"step": 19400
|
| 1908 |
},
|
| 1909 |
{
|
| 1910 |
-
"epoch": 36.
|
| 1911 |
-
"grad_norm": NaN,
|
| 1912 |
"learning_rate": 0.0003,
|
| 1913 |
-
"loss":
|
| 1914 |
"step": 19500
|
| 1915 |
},
|
| 1916 |
{
|
| 1917 |
"epoch": 37.0,
|
| 1918 |
-
"eval_accuracy": 0.
|
| 1919 |
-
"eval_loss":
|
| 1920 |
-
"eval_runtime":
|
| 1921 |
-
"eval_samples_per_second":
|
| 1922 |
-
"eval_steps_per_second":
|
| 1923 |
"step": 19573
|
| 1924 |
},
|
| 1925 |
{
|
|
@@ -1929,54 +1734,48 @@
|
|
| 1929 |
"step": 19573
|
| 1930 |
},
|
| 1931 |
{
|
| 1932 |
-
"epoch": 37.
|
| 1933 |
-
"grad_norm": NaN,
|
| 1934 |
"learning_rate": 0.0003,
|
| 1935 |
-
"loss":
|
| 1936 |
"step": 19600
|
| 1937 |
},
|
| 1938 |
{
|
| 1939 |
-
"epoch": 37.
|
| 1940 |
-
"grad_norm": NaN,
|
| 1941 |
"learning_rate": 0.0003,
|
| 1942 |
-
"loss":
|
| 1943 |
"step": 19700
|
| 1944 |
},
|
| 1945 |
{
|
| 1946 |
-
"epoch": 37.
|
| 1947 |
-
"grad_norm": NaN,
|
| 1948 |
"learning_rate": 0.0003,
|
| 1949 |
-
"loss":
|
| 1950 |
"step": 19800
|
| 1951 |
},
|
| 1952 |
{
|
| 1953 |
-
"epoch": 37.
|
| 1954 |
-
"grad_norm": NaN,
|
| 1955 |
"learning_rate": 0.0003,
|
| 1956 |
-
"loss":
|
| 1957 |
"step": 19900
|
| 1958 |
},
|
| 1959 |
{
|
| 1960 |
-
"epoch": 37.
|
| 1961 |
-
"grad_norm": NaN,
|
| 1962 |
"learning_rate": 0.0003,
|
| 1963 |
-
"loss":
|
| 1964 |
"step": 20000
|
| 1965 |
},
|
| 1966 |
{
|
| 1967 |
-
"epoch":
|
| 1968 |
-
"grad_norm": NaN,
|
| 1969 |
"learning_rate": 0.0003,
|
| 1970 |
-
"loss":
|
| 1971 |
"step": 20100
|
| 1972 |
},
|
| 1973 |
{
|
| 1974 |
"epoch": 38.0,
|
| 1975 |
-
"eval_accuracy": 0.
|
| 1976 |
-
"eval_loss":
|
| 1977 |
-
"eval_runtime": 4.
|
| 1978 |
-
"eval_samples_per_second":
|
| 1979 |
-
"eval_steps_per_second":
|
| 1980 |
"step": 20102
|
| 1981 |
},
|
| 1982 |
{
|
|
@@ -1986,47 +1785,42 @@
|
|
| 1986 |
"step": 20102
|
| 1987 |
},
|
| 1988 |
{
|
| 1989 |
-
"epoch": 38.
|
| 1990 |
-
"grad_norm": NaN,
|
| 1991 |
"learning_rate": 0.0003,
|
| 1992 |
-
"loss":
|
| 1993 |
"step": 20200
|
| 1994 |
},
|
| 1995 |
{
|
| 1996 |
-
"epoch": 38.
|
| 1997 |
-
"grad_norm": NaN,
|
| 1998 |
"learning_rate": 0.0003,
|
| 1999 |
-
"loss":
|
| 2000 |
"step": 20300
|
| 2001 |
},
|
| 2002 |
{
|
| 2003 |
-
"epoch": 38.
|
| 2004 |
-
"grad_norm": NaN,
|
| 2005 |
"learning_rate": 0.0003,
|
| 2006 |
-
"loss":
|
| 2007 |
"step": 20400
|
| 2008 |
},
|
| 2009 |
{
|
| 2010 |
-
"epoch": 38.
|
| 2011 |
-
"grad_norm": NaN,
|
| 2012 |
"learning_rate": 0.0003,
|
| 2013 |
-
"loss":
|
| 2014 |
"step": 20500
|
| 2015 |
},
|
| 2016 |
{
|
| 2017 |
-
"epoch": 38.
|
| 2018 |
-
"grad_norm": NaN,
|
| 2019 |
"learning_rate": 0.0003,
|
| 2020 |
-
"loss":
|
| 2021 |
"step": 20600
|
| 2022 |
},
|
| 2023 |
{
|
| 2024 |
"epoch": 39.0,
|
| 2025 |
-
"eval_accuracy": 0.
|
| 2026 |
-
"eval_loss":
|
| 2027 |
-
"eval_runtime": 4.
|
| 2028 |
-
"eval_samples_per_second":
|
| 2029 |
-
"eval_steps_per_second":
|
| 2030 |
"step": 20631
|
| 2031 |
},
|
| 2032 |
{
|
|
@@ -2036,47 +1830,42 @@
|
|
| 2036 |
"step": 20631
|
| 2037 |
},
|
| 2038 |
{
|
| 2039 |
-
"epoch": 39.
|
| 2040 |
-
"grad_norm": NaN,
|
| 2041 |
"learning_rate": 0.0003,
|
| 2042 |
-
"loss":
|
| 2043 |
"step": 20700
|
| 2044 |
},
|
| 2045 |
{
|
| 2046 |
-
"epoch": 39.
|
| 2047 |
-
"grad_norm": NaN,
|
| 2048 |
"learning_rate": 0.0003,
|
| 2049 |
-
"loss":
|
| 2050 |
"step": 20800
|
| 2051 |
},
|
| 2052 |
{
|
| 2053 |
-
"epoch": 39.
|
| 2054 |
-
"grad_norm": NaN,
|
| 2055 |
"learning_rate": 0.0003,
|
| 2056 |
-
"loss":
|
| 2057 |
"step": 20900
|
| 2058 |
},
|
| 2059 |
{
|
| 2060 |
-
"epoch": 39.
|
| 2061 |
-
"grad_norm": NaN,
|
| 2062 |
"learning_rate": 0.0003,
|
| 2063 |
-
"loss":
|
| 2064 |
"step": 21000
|
| 2065 |
},
|
| 2066 |
{
|
| 2067 |
-
"epoch": 39.
|
| 2068 |
-
"grad_norm": NaN,
|
| 2069 |
"learning_rate": 0.0003,
|
| 2070 |
-
"loss":
|
| 2071 |
"step": 21100
|
| 2072 |
},
|
| 2073 |
{
|
| 2074 |
"epoch": 40.0,
|
| 2075 |
-
"eval_accuracy": 0.
|
| 2076 |
-
"eval_loss":
|
| 2077 |
-
"eval_runtime":
|
| 2078 |
-
"eval_samples_per_second":
|
| 2079 |
-
"eval_steps_per_second":
|
| 2080 |
"step": 21160
|
| 2081 |
},
|
| 2082 |
{
|
|
@@ -2086,47 +1875,42 @@
|
|
| 2086 |
"step": 21160
|
| 2087 |
},
|
| 2088 |
{
|
| 2089 |
-
"epoch": 40.
|
| 2090 |
-
"grad_norm": NaN,
|
| 2091 |
"learning_rate": 0.0003,
|
| 2092 |
-
"loss":
|
| 2093 |
"step": 21200
|
| 2094 |
},
|
| 2095 |
{
|
| 2096 |
-
"epoch": 40.
|
| 2097 |
-
"grad_norm": NaN,
|
| 2098 |
"learning_rate": 0.0003,
|
| 2099 |
-
"loss":
|
| 2100 |
"step": 21300
|
| 2101 |
},
|
| 2102 |
{
|
| 2103 |
-
"epoch": 40.
|
| 2104 |
-
"grad_norm": NaN,
|
| 2105 |
"learning_rate": 0.0003,
|
| 2106 |
-
"loss":
|
| 2107 |
"step": 21400
|
| 2108 |
},
|
| 2109 |
{
|
| 2110 |
-
"epoch": 40.
|
| 2111 |
-
"grad_norm": NaN,
|
| 2112 |
"learning_rate": 0.0003,
|
| 2113 |
-
"loss":
|
| 2114 |
"step": 21500
|
| 2115 |
},
|
| 2116 |
{
|
| 2117 |
-
"epoch": 40.
|
| 2118 |
-
"grad_norm": NaN,
|
| 2119 |
"learning_rate": 0.0003,
|
| 2120 |
-
"loss":
|
| 2121 |
"step": 21600
|
| 2122 |
},
|
| 2123 |
{
|
| 2124 |
"epoch": 41.0,
|
| 2125 |
-
"eval_accuracy": 0.
|
| 2126 |
-
"eval_loss":
|
| 2127 |
-
"eval_runtime": 4.
|
| 2128 |
-
"eval_samples_per_second":
|
| 2129 |
-
"eval_steps_per_second":
|
| 2130 |
"step": 21689
|
| 2131 |
},
|
| 2132 |
{
|
|
@@ -2136,54 +1920,48 @@
|
|
| 2136 |
"step": 21689
|
| 2137 |
},
|
| 2138 |
{
|
| 2139 |
-
"epoch": 41.
|
| 2140 |
-
"grad_norm": NaN,
|
| 2141 |
"learning_rate": 0.0003,
|
| 2142 |
-
"loss":
|
| 2143 |
"step": 21700
|
| 2144 |
},
|
| 2145 |
{
|
| 2146 |
-
"epoch": 41.
|
| 2147 |
-
"grad_norm": NaN,
|
| 2148 |
"learning_rate": 0.0003,
|
| 2149 |
-
"loss":
|
| 2150 |
"step": 21800
|
| 2151 |
},
|
| 2152 |
{
|
| 2153 |
-
"epoch": 41.
|
| 2154 |
-
"grad_norm": NaN,
|
| 2155 |
"learning_rate": 0.0003,
|
| 2156 |
-
"loss":
|
| 2157 |
"step": 21900
|
| 2158 |
},
|
| 2159 |
{
|
| 2160 |
-
"epoch": 41.
|
| 2161 |
-
"grad_norm": NaN,
|
| 2162 |
"learning_rate": 0.0003,
|
| 2163 |
-
"loss":
|
| 2164 |
"step": 22000
|
| 2165 |
},
|
| 2166 |
{
|
| 2167 |
-
"epoch": 41.
|
| 2168 |
-
"grad_norm": NaN,
|
| 2169 |
"learning_rate": 0.0003,
|
| 2170 |
-
"loss":
|
| 2171 |
"step": 22100
|
| 2172 |
},
|
| 2173 |
{
|
| 2174 |
-
"epoch": 41.
|
| 2175 |
-
"grad_norm": NaN,
|
| 2176 |
"learning_rate": 0.0003,
|
| 2177 |
-
"loss":
|
| 2178 |
"step": 22200
|
| 2179 |
},
|
| 2180 |
{
|
| 2181 |
"epoch": 42.0,
|
| 2182 |
-
"eval_accuracy": 0.
|
| 2183 |
"eval_loss": NaN,
|
| 2184 |
-
"eval_runtime":
|
| 2185 |
-
"eval_samples_per_second":
|
| 2186 |
-
"eval_steps_per_second":
|
| 2187 |
"step": 22218
|
| 2188 |
},
|
| 2189 |
{
|
|
@@ -2193,47 +1971,42 @@
|
|
| 2193 |
"step": 22218
|
| 2194 |
},
|
| 2195 |
{
|
| 2196 |
-
"epoch": 42.
|
| 2197 |
-
"grad_norm": NaN,
|
| 2198 |
"learning_rate": 0.0003,
|
| 2199 |
"loss": 0.0,
|
| 2200 |
"step": 22300
|
| 2201 |
},
|
| 2202 |
{
|
| 2203 |
-
"epoch": 42.
|
| 2204 |
-
"grad_norm": NaN,
|
| 2205 |
"learning_rate": 0.0003,
|
| 2206 |
"loss": 0.0,
|
| 2207 |
"step": 22400
|
| 2208 |
},
|
| 2209 |
{
|
| 2210 |
-
"epoch": 42.
|
| 2211 |
-
"grad_norm": NaN,
|
| 2212 |
"learning_rate": 0.0003,
|
| 2213 |
"loss": 0.0,
|
| 2214 |
"step": 22500
|
| 2215 |
},
|
| 2216 |
{
|
| 2217 |
-
"epoch": 42.
|
| 2218 |
-
"grad_norm": NaN,
|
| 2219 |
"learning_rate": 0.0003,
|
| 2220 |
"loss": 0.0,
|
| 2221 |
"step": 22600
|
| 2222 |
},
|
| 2223 |
{
|
| 2224 |
-
"epoch": 42.
|
| 2225 |
-
"grad_norm": NaN,
|
| 2226 |
"learning_rate": 0.0003,
|
| 2227 |
"loss": 0.0,
|
| 2228 |
"step": 22700
|
| 2229 |
},
|
| 2230 |
{
|
| 2231 |
"epoch": 43.0,
|
| 2232 |
-
"eval_accuracy": 0.
|
| 2233 |
"eval_loss": NaN,
|
| 2234 |
-
"eval_runtime":
|
| 2235 |
-
"eval_samples_per_second":
|
| 2236 |
-
"eval_steps_per_second":
|
| 2237 |
"step": 22747
|
| 2238 |
},
|
| 2239 |
{
|
|
@@ -2243,47 +2016,42 @@
|
|
| 2243 |
"step": 22747
|
| 2244 |
},
|
| 2245 |
{
|
| 2246 |
-
"epoch": 43.
|
| 2247 |
-
"grad_norm": NaN,
|
| 2248 |
"learning_rate": 0.0003,
|
| 2249 |
"loss": 0.0,
|
| 2250 |
"step": 22800
|
| 2251 |
},
|
| 2252 |
{
|
| 2253 |
-
"epoch": 43.
|
| 2254 |
-
"grad_norm": NaN,
|
| 2255 |
"learning_rate": 0.0003,
|
| 2256 |
"loss": 0.0,
|
| 2257 |
"step": 22900
|
| 2258 |
},
|
| 2259 |
{
|
| 2260 |
-
"epoch": 43.
|
| 2261 |
-
"grad_norm": NaN,
|
| 2262 |
"learning_rate": 0.0003,
|
| 2263 |
"loss": 0.0,
|
| 2264 |
"step": 23000
|
| 2265 |
},
|
| 2266 |
{
|
| 2267 |
-
"epoch": 43.
|
| 2268 |
-
"grad_norm": NaN,
|
| 2269 |
"learning_rate": 0.0003,
|
| 2270 |
"loss": 0.0,
|
| 2271 |
"step": 23100
|
| 2272 |
},
|
| 2273 |
{
|
| 2274 |
-
"epoch": 43.
|
| 2275 |
-
"grad_norm": NaN,
|
| 2276 |
"learning_rate": 0.0003,
|
| 2277 |
"loss": 0.0,
|
| 2278 |
"step": 23200
|
| 2279 |
},
|
| 2280 |
{
|
| 2281 |
"epoch": 44.0,
|
| 2282 |
-
"eval_accuracy": 0.
|
| 2283 |
"eval_loss": NaN,
|
| 2284 |
-
"eval_runtime":
|
| 2285 |
-
"eval_samples_per_second":
|
| 2286 |
-
"eval_steps_per_second":
|
| 2287 |
"step": 23276
|
| 2288 |
},
|
| 2289 |
{
|
|
@@ -2293,54 +2061,48 @@
|
|
| 2293 |
"step": 23276
|
| 2294 |
},
|
| 2295 |
{
|
| 2296 |
-
"epoch": 44.
|
| 2297 |
-
"grad_norm": NaN,
|
| 2298 |
"learning_rate": 0.0003,
|
| 2299 |
"loss": 0.0,
|
| 2300 |
"step": 23300
|
| 2301 |
},
|
| 2302 |
{
|
| 2303 |
-
"epoch": 44.
|
| 2304 |
-
"grad_norm": NaN,
|
| 2305 |
"learning_rate": 0.0003,
|
| 2306 |
"loss": 0.0,
|
| 2307 |
"step": 23400
|
| 2308 |
},
|
| 2309 |
{
|
| 2310 |
-
"epoch": 44.
|
| 2311 |
-
"grad_norm": NaN,
|
| 2312 |
"learning_rate": 0.0003,
|
| 2313 |
"loss": 0.0,
|
| 2314 |
"step": 23500
|
| 2315 |
},
|
| 2316 |
{
|
| 2317 |
-
"epoch": 44.
|
| 2318 |
-
"grad_norm": NaN,
|
| 2319 |
"learning_rate": 0.0003,
|
| 2320 |
"loss": 0.0,
|
| 2321 |
"step": 23600
|
| 2322 |
},
|
| 2323 |
{
|
| 2324 |
-
"epoch": 44.
|
| 2325 |
-
"grad_norm": NaN,
|
| 2326 |
"learning_rate": 0.0003,
|
| 2327 |
"loss": 0.0,
|
| 2328 |
"step": 23700
|
| 2329 |
},
|
| 2330 |
{
|
| 2331 |
-
"epoch": 44.
|
| 2332 |
-
"grad_norm": NaN,
|
| 2333 |
"learning_rate": 0.0003,
|
| 2334 |
"loss": 0.0,
|
| 2335 |
"step": 23800
|
| 2336 |
},
|
| 2337 |
{
|
| 2338 |
"epoch": 45.0,
|
| 2339 |
-
"eval_accuracy": 0.
|
| 2340 |
"eval_loss": NaN,
|
| 2341 |
-
"eval_runtime":
|
| 2342 |
-
"eval_samples_per_second":
|
| 2343 |
-
"eval_steps_per_second":
|
| 2344 |
"step": 23805
|
| 2345 |
},
|
| 2346 |
{
|
|
@@ -2350,47 +2112,42 @@
|
|
| 2350 |
"step": 23805
|
| 2351 |
},
|
| 2352 |
{
|
| 2353 |
-
"epoch": 45.
|
| 2354 |
-
"grad_norm": NaN,
|
| 2355 |
"learning_rate": 0.0003,
|
| 2356 |
"loss": 0.0,
|
| 2357 |
"step": 23900
|
| 2358 |
},
|
| 2359 |
{
|
| 2360 |
-
"epoch": 45.
|
| 2361 |
-
"grad_norm": NaN,
|
| 2362 |
"learning_rate": 0.0003,
|
| 2363 |
"loss": 0.0,
|
| 2364 |
"step": 24000
|
| 2365 |
},
|
| 2366 |
{
|
| 2367 |
-
"epoch": 45.
|
| 2368 |
-
"grad_norm": NaN,
|
| 2369 |
"learning_rate": 0.0003,
|
| 2370 |
"loss": 0.0,
|
| 2371 |
"step": 24100
|
| 2372 |
},
|
| 2373 |
{
|
| 2374 |
-
"epoch": 45.
|
| 2375 |
-
"grad_norm": NaN,
|
| 2376 |
"learning_rate": 0.0003,
|
| 2377 |
"loss": 0.0,
|
| 2378 |
"step": 24200
|
| 2379 |
},
|
| 2380 |
{
|
| 2381 |
-
"epoch": 45.
|
| 2382 |
-
"grad_norm": NaN,
|
| 2383 |
"learning_rate": 0.0003,
|
| 2384 |
"loss": 0.0,
|
| 2385 |
"step": 24300
|
| 2386 |
},
|
| 2387 |
{
|
| 2388 |
"epoch": 46.0,
|
| 2389 |
-
"eval_accuracy": 0.
|
| 2390 |
"eval_loss": NaN,
|
| 2391 |
-
"eval_runtime":
|
| 2392 |
-
"eval_samples_per_second":
|
| 2393 |
-
"eval_steps_per_second":
|
| 2394 |
"step": 24334
|
| 2395 |
},
|
| 2396 |
{
|
|
@@ -2402,23 +2159,9 @@
|
|
| 2402 |
],
|
| 2403 |
"logging_steps": 100,
|
| 2404 |
"max_steps": 26450,
|
| 2405 |
-
"num_input_tokens_seen": 0,
|
| 2406 |
"num_train_epochs": 50,
|
| 2407 |
"save_steps": 500,
|
| 2408 |
-
"
|
| 2409 |
-
"TrainerControl": {
|
| 2410 |
-
"args": {
|
| 2411 |
-
"should_epoch_stop": false,
|
| 2412 |
-
"should_evaluate": false,
|
| 2413 |
-
"should_log": false,
|
| 2414 |
-
"should_save": true,
|
| 2415 |
-
"should_training_stop": false
|
| 2416 |
-
},
|
| 2417 |
-
"attributes": {}
|
| 2418 |
-
}
|
| 2419 |
-
},
|
| 2420 |
-
"total_flos": 1.980098191239938e+18,
|
| 2421 |
-
"train_batch_size": 2,
|
| 2422 |
"trial_name": null,
|
| 2423 |
"trial_params": null
|
| 2424 |
}
|
|
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.19,
|
|
|
|
| 13 |
"learning_rate": 0.0003,
|
| 14 |
+
"loss": 1.4758,
|
| 15 |
"step": 100
|
| 16 |
},
|
| 17 |
{
|
| 18 |
+
"epoch": 0.38,
|
|
|
|
| 19 |
"learning_rate": 0.0003,
|
| 20 |
+
"loss": 1.3867,
|
| 21 |
"step": 200
|
| 22 |
},
|
| 23 |
{
|
| 24 |
+
"epoch": 0.57,
|
|
|
|
| 25 |
"learning_rate": 0.0003,
|
| 26 |
+
"loss": 1.4064,
|
| 27 |
"step": 300
|
| 28 |
},
|
| 29 |
{
|
| 30 |
+
"epoch": 0.76,
|
|
|
|
| 31 |
"learning_rate": 0.0003,
|
| 32 |
+
"loss": 1.3789,
|
| 33 |
"step": 400
|
| 34 |
},
|
| 35 |
{
|
| 36 |
+
"epoch": 0.95,
|
|
|
|
| 37 |
"learning_rate": 0.0003,
|
| 38 |
+
"loss": 1.3822,
|
| 39 |
"step": 500
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 1.0,
|
| 43 |
+
"eval_accuracy": 0.6171794871794872,
|
| 44 |
+
"eval_loss": 1.2976911067962646,
|
| 45 |
+
"eval_runtime": 4.224,
|
| 46 |
+
"eval_samples_per_second": 118.372,
|
| 47 |
+
"eval_steps_per_second": 14.915,
|
| 48 |
"step": 529
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 1.0,
|
| 52 |
+
"eval_exact_match": 0.2,
|
| 53 |
+
"eval_f1": 2.031878046337681,
|
| 54 |
"step": 529
|
| 55 |
},
|
| 56 |
{
|
| 57 |
+
"epoch": 1.13,
|
|
|
|
| 58 |
"learning_rate": 0.0003,
|
| 59 |
+
"loss": 1.3048,
|
| 60 |
"step": 600
|
| 61 |
},
|
| 62 |
{
|
| 63 |
+
"epoch": 1.32,
|
|
|
|
| 64 |
"learning_rate": 0.0003,
|
| 65 |
+
"loss": 1.2524,
|
| 66 |
"step": 700
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 1.51,
|
|
|
|
| 70 |
"learning_rate": 0.0003,
|
| 71 |
+
"loss": 1.3009,
|
| 72 |
"step": 800
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"epoch": 1.7,
|
|
|
|
| 76 |
"learning_rate": 0.0003,
|
| 77 |
+
"loss": 1.268,
|
| 78 |
"step": 900
|
| 79 |
},
|
| 80 |
{
|
| 81 |
+
"epoch": 1.89,
|
|
|
|
| 82 |
"learning_rate": 0.0003,
|
| 83 |
+
"loss": 1.2744,
|
| 84 |
"step": 1000
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 2.0,
|
| 88 |
+
"eval_accuracy": 0.6032307692307692,
|
| 89 |
+
"eval_loss": 1.374481201171875,
|
| 90 |
+
"eval_runtime": 4.4141,
|
| 91 |
+
"eval_samples_per_second": 113.274,
|
| 92 |
+
"eval_steps_per_second": 14.272,
|
| 93 |
"step": 1058
|
| 94 |
},
|
| 95 |
{
|
|
|
|
| 99 |
"step": 1058
|
| 100 |
},
|
| 101 |
{
|
| 102 |
+
"epoch": 2.08,
|
|
|
|
| 103 |
"learning_rate": 0.0003,
|
| 104 |
+
"loss": 1.2158,
|
| 105 |
"step": 1100
|
| 106 |
},
|
| 107 |
{
|
| 108 |
+
"epoch": 2.27,
|
|
|
|
| 109 |
"learning_rate": 0.0003,
|
| 110 |
+
"loss": 1.1066,
|
| 111 |
"step": 1200
|
| 112 |
},
|
| 113 |
{
|
| 114 |
+
"epoch": 2.46,
|
|
|
|
| 115 |
"learning_rate": 0.0003,
|
| 116 |
+
"loss": 1.1365,
|
| 117 |
"step": 1300
|
| 118 |
},
|
| 119 |
{
|
| 120 |
+
"epoch": 2.65,
|
|
|
|
| 121 |
"learning_rate": 0.0003,
|
| 122 |
+
"loss": 1.1486,
|
| 123 |
"step": 1400
|
| 124 |
},
|
| 125 |
{
|
| 126 |
+
"epoch": 2.84,
|
|
|
|
| 127 |
"learning_rate": 0.0003,
|
| 128 |
+
"loss": 1.1768,
|
| 129 |
"step": 1500
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 3.0,
|
| 133 |
+
"eval_accuracy": 0.6157435897435898,
|
| 134 |
+
"eval_loss": 1.331903100013733,
|
| 135 |
+
"eval_runtime": 4.8466,
|
| 136 |
+
"eval_samples_per_second": 103.164,
|
| 137 |
+
"eval_steps_per_second": 12.999,
|
| 138 |
"step": 1587
|
| 139 |
},
|
| 140 |
{
|
| 141 |
"epoch": 3.0,
|
| 142 |
"eval_exact_match": 0.0,
|
| 143 |
+
"eval_f1": 0.0,
|
| 144 |
"step": 1587
|
| 145 |
},
|
| 146 |
{
|
| 147 |
+
"epoch": 3.02,
|
|
|
|
| 148 |
"learning_rate": 0.0003,
|
| 149 |
+
"loss": 1.1769,
|
| 150 |
"step": 1600
|
| 151 |
},
|
| 152 |
{
|
| 153 |
+
"epoch": 3.21,
|
|
|
|
| 154 |
"learning_rate": 0.0003,
|
| 155 |
+
"loss": 0.9541,
|
| 156 |
"step": 1700
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 3.4,
|
|
|
|
| 160 |
"learning_rate": 0.0003,
|
| 161 |
+
"loss": 1.2939,
|
| 162 |
"step": 1800
|
| 163 |
},
|
| 164 |
{
|
| 165 |
+
"epoch": 3.59,
|
|
|
|
| 166 |
"learning_rate": 0.0003,
|
| 167 |
+
"loss": 0.9852,
|
| 168 |
"step": 1900
|
| 169 |
},
|
| 170 |
{
|
| 171 |
+
"epoch": 3.78,
|
|
|
|
| 172 |
"learning_rate": 0.0003,
|
| 173 |
+
"loss": 0.9538,
|
| 174 |
"step": 2000
|
| 175 |
},
|
| 176 |
{
|
| 177 |
+
"epoch": 3.97,
|
|
|
|
| 178 |
"learning_rate": 0.0003,
|
| 179 |
+
"loss": 0.9247,
|
| 180 |
"step": 2100
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 4.0,
|
| 184 |
+
"eval_accuracy": 0.6101538461538462,
|
| 185 |
+
"eval_loss": 1.4367107152938843,
|
| 186 |
+
"eval_runtime": 4.4146,
|
| 187 |
+
"eval_samples_per_second": 113.259,
|
| 188 |
+
"eval_steps_per_second": 14.271,
|
| 189 |
"step": 2116
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 4.0,
|
| 193 |
+
"eval_exact_match": 6.6,
|
| 194 |
+
"eval_f1": 9.897142857142855,
|
| 195 |
"step": 2116
|
| 196 |
},
|
| 197 |
{
|
| 198 |
+
"epoch": 4.16,
|
|
|
|
| 199 |
"learning_rate": 0.0003,
|
| 200 |
+
"loss": 1.1334,
|
| 201 |
"step": 2200
|
| 202 |
},
|
| 203 |
{
|
| 204 |
+
"epoch": 4.35,
|
|
|
|
| 205 |
"learning_rate": 0.0003,
|
| 206 |
+
"loss": 1.5175,
|
| 207 |
"step": 2300
|
| 208 |
},
|
| 209 |
{
|
| 210 |
+
"epoch": 4.54,
|
|
|
|
| 211 |
"learning_rate": 0.0003,
|
| 212 |
+
"loss": 4.2745,
|
| 213 |
"step": 2400
|
| 214 |
},
|
| 215 |
{
|
| 216 |
+
"epoch": 4.73,
|
|
|
|
| 217 |
"learning_rate": 0.0003,
|
| 218 |
+
"loss": 2.5667,
|
| 219 |
"step": 2500
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 4.91,
|
|
|
|
| 223 |
"learning_rate": 0.0003,
|
| 224 |
+
"loss": 1.1836,
|
| 225 |
"step": 2600
|
| 226 |
},
|
| 227 |
{
|
| 228 |
"epoch": 5.0,
|
| 229 |
+
"eval_accuracy": 0.556923076923077,
|
| 230 |
+
"eval_loss": 1.9167817831039429,
|
| 231 |
+
"eval_runtime": 4.8432,
|
| 232 |
+
"eval_samples_per_second": 103.238,
|
| 233 |
+
"eval_steps_per_second": 13.008,
|
| 234 |
"step": 2645
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 5.0,
|
| 238 |
"eval_exact_match": 0.0,
|
| 239 |
+
"eval_f1": 0.2264729350912329,
|
| 240 |
"step": 2645
|
| 241 |
},
|
| 242 |
{
|
| 243 |
+
"epoch": 5.1,
|
|
|
|
| 244 |
"learning_rate": 0.0003,
|
| 245 |
+
"loss": 1.7226,
|
| 246 |
"step": 2700
|
| 247 |
},
|
| 248 |
{
|
| 249 |
+
"epoch": 5.29,
|
|
|
|
| 250 |
"learning_rate": 0.0003,
|
| 251 |
+
"loss": 2.1466,
|
| 252 |
"step": 2800
|
| 253 |
},
|
| 254 |
{
|
| 255 |
+
"epoch": 5.48,
|
|
|
|
| 256 |
"learning_rate": 0.0003,
|
| 257 |
+
"loss": 1.83,
|
| 258 |
"step": 2900
|
| 259 |
},
|
| 260 |
{
|
| 261 |
+
"epoch": 5.67,
|
|
|
|
| 262 |
"learning_rate": 0.0003,
|
| 263 |
+
"loss": 1.8789,
|
| 264 |
"step": 3000
|
| 265 |
},
|
| 266 |
{
|
| 267 |
+
"epoch": 5.86,
|
|
|
|
| 268 |
"learning_rate": 0.0003,
|
| 269 |
+
"loss": 2.035,
|
| 270 |
"step": 3100
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 6.0,
|
| 274 |
+
"eval_accuracy": 0.5377435897435897,
|
| 275 |
+
"eval_loss": 2.0794410705566406,
|
| 276 |
+
"eval_runtime": 4.1284,
|
| 277 |
+
"eval_samples_per_second": 121.112,
|
| 278 |
+
"eval_steps_per_second": 15.26,
|
| 279 |
"step": 3174
|
| 280 |
},
|
| 281 |
{
|
|
|
|
| 285 |
"step": 3174
|
| 286 |
},
|
| 287 |
{
|
| 288 |
+
"epoch": 6.05,
|
|
|
|
| 289 |
"learning_rate": 0.0003,
|
| 290 |
+
"loss": 2.2251,
|
| 291 |
"step": 3200
|
| 292 |
},
|
| 293 |
{
|
| 294 |
+
"epoch": 6.24,
|
|
|
|
| 295 |
"learning_rate": 0.0003,
|
| 296 |
+
"loss": 2.1457,
|
| 297 |
"step": 3300
|
| 298 |
},
|
| 299 |
{
|
| 300 |
+
"epoch": 6.43,
|
|
|
|
| 301 |
"learning_rate": 0.0003,
|
| 302 |
+
"loss": 2.0764,
|
| 303 |
"step": 3400
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 6.62,
|
|
|
|
| 307 |
"learning_rate": 0.0003,
|
| 308 |
+
"loss": 2.3695,
|
| 309 |
"step": 3500
|
| 310 |
},
|
| 311 |
{
|
| 312 |
+
"epoch": 6.81,
|
|
|
|
| 313 |
"learning_rate": 0.0003,
|
| 314 |
+
"loss": 2.2254,
|
| 315 |
"step": 3600
|
| 316 |
},
|
| 317 |
{
|
| 318 |
+
"epoch": 6.99,
|
|
|
|
| 319 |
"learning_rate": 0.0003,
|
| 320 |
+
"loss": 3.7483,
|
| 321 |
"step": 3700
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 7.0,
|
| 325 |
+
"eval_accuracy": 0.48805128205128206,
|
| 326 |
+
"eval_loss": 2.6722612380981445,
|
| 327 |
+
"eval_runtime": 4.2095,
|
| 328 |
+
"eval_samples_per_second": 118.778,
|
| 329 |
+
"eval_steps_per_second": 14.966,
|
| 330 |
"step": 3703
|
| 331 |
},
|
| 332 |
{
|
|
|
|
| 336 |
"step": 3703
|
| 337 |
},
|
| 338 |
{
|
| 339 |
+
"epoch": 7.18,
|
|
|
|
| 340 |
"learning_rate": 0.0003,
|
| 341 |
+
"loss": 6.5533,
|
| 342 |
"step": 3800
|
| 343 |
},
|
| 344 |
{
|
| 345 |
+
"epoch": 7.37,
|
|
|
|
| 346 |
"learning_rate": 0.0003,
|
| 347 |
+
"loss": 6.708,
|
| 348 |
"step": 3900
|
| 349 |
},
|
| 350 |
{
|
| 351 |
+
"epoch": 7.56,
|
|
|
|
| 352 |
"learning_rate": 0.0003,
|
| 353 |
+
"loss": 7.4301,
|
| 354 |
"step": 4000
|
| 355 |
},
|
| 356 |
{
|
| 357 |
+
"epoch": 7.75,
|
|
|
|
| 358 |
"learning_rate": 0.0003,
|
| 359 |
+
"loss": 8.6731,
|
| 360 |
"step": 4100
|
| 361 |
},
|
| 362 |
{
|
| 363 |
+
"epoch": 7.94,
|
|
|
|
| 364 |
"learning_rate": 0.0003,
|
| 365 |
+
"loss": 7.127,
|
| 366 |
"step": 4200
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 8.0,
|
| 370 |
+
"eval_accuracy": 0.1922051282051282,
|
| 371 |
+
"eval_loss": 7.040984153747559,
|
| 372 |
+
"eval_runtime": 4.8262,
|
| 373 |
+
"eval_samples_per_second": 103.6,
|
| 374 |
+
"eval_steps_per_second": 13.054,
|
| 375 |
"step": 4232
|
| 376 |
},
|
| 377 |
{
|
|
|
|
| 381 |
"step": 4232
|
| 382 |
},
|
| 383 |
{
|
| 384 |
+
"epoch": 8.13,
|
|
|
|
| 385 |
"learning_rate": 0.0003,
|
| 386 |
+
"loss": 7.8796,
|
| 387 |
"step": 4300
|
| 388 |
},
|
| 389 |
{
|
| 390 |
+
"epoch": 8.32,
|
|
|
|
| 391 |
"learning_rate": 0.0003,
|
| 392 |
+
"loss": 8.0716,
|
| 393 |
"step": 4400
|
| 394 |
},
|
| 395 |
{
|
| 396 |
+
"epoch": 8.51,
|
|
|
|
| 397 |
"learning_rate": 0.0003,
|
| 398 |
+
"loss": 8.2395,
|
| 399 |
"step": 4500
|
| 400 |
},
|
| 401 |
{
|
| 402 |
+
"epoch": 8.7,
|
|
|
|
| 403 |
"learning_rate": 0.0003,
|
| 404 |
+
"loss": 7.9157,
|
| 405 |
"step": 4600
|
| 406 |
},
|
| 407 |
{
|
| 408 |
+
"epoch": 8.88,
|
|
|
|
| 409 |
"learning_rate": 0.0003,
|
| 410 |
+
"loss": 7.5321,
|
| 411 |
"step": 4700
|
| 412 |
},
|
| 413 |
{
|
| 414 |
"epoch": 9.0,
|
| 415 |
+
"eval_accuracy": 0.19405128205128205,
|
| 416 |
+
"eval_loss": 6.64878511428833,
|
| 417 |
+
"eval_runtime": 4.104,
|
| 418 |
+
"eval_samples_per_second": 121.831,
|
| 419 |
+
"eval_steps_per_second": 15.351,
|
| 420 |
"step": 4761
|
| 421 |
},
|
| 422 |
{
|
|
|
|
| 426 |
"step": 4761
|
| 427 |
},
|
| 428 |
{
|
| 429 |
+
"epoch": 9.07,
|
|
|
|
| 430 |
"learning_rate": 0.0003,
|
| 431 |
+
"loss": 7.2432,
|
| 432 |
"step": 4800
|
| 433 |
},
|
| 434 |
{
|
| 435 |
+
"epoch": 9.26,
|
|
|
|
| 436 |
"learning_rate": 0.0003,
|
| 437 |
+
"loss": 7.4268,
|
| 438 |
"step": 4900
|
| 439 |
},
|
| 440 |
{
|
| 441 |
+
"epoch": 9.45,
|
|
|
|
| 442 |
"learning_rate": 0.0003,
|
| 443 |
+
"loss": 7.7517,
|
| 444 |
"step": 5000
|
| 445 |
},
|
| 446 |
{
|
| 447 |
+
"epoch": 9.64,
|
|
|
|
| 448 |
"learning_rate": 0.0003,
|
| 449 |
+
"loss": 7.4674,
|
| 450 |
"step": 5100
|
| 451 |
},
|
| 452 |
{
|
| 453 |
+
"epoch": 9.83,
|
|
|
|
| 454 |
"learning_rate": 0.0003,
|
| 455 |
+
"loss": 7.3806,
|
| 456 |
"step": 5200
|
| 457 |
},
|
| 458 |
{
|
| 459 |
"epoch": 10.0,
|
| 460 |
+
"eval_accuracy": 0.2196923076923077,
|
| 461 |
+
"eval_loss": 6.842738151550293,
|
| 462 |
+
"eval_runtime": 4.8429,
|
| 463 |
+
"eval_samples_per_second": 103.244,
|
| 464 |
+
"eval_steps_per_second": 13.009,
|
| 465 |
"step": 5290
|
| 466 |
},
|
| 467 |
{
|
|
|
|
| 471 |
"step": 5290
|
| 472 |
},
|
| 473 |
{
|
| 474 |
+
"epoch": 10.02,
|
|
|
|
| 475 |
"learning_rate": 0.0003,
|
| 476 |
+
"loss": 7.4491,
|
| 477 |
"step": 5300
|
| 478 |
},
|
| 479 |
{
|
| 480 |
+
"epoch": 10.21,
|
|
|
|
| 481 |
"learning_rate": 0.0003,
|
| 482 |
+
"loss": 7.4851,
|
| 483 |
"step": 5400
|
| 484 |
},
|
| 485 |
{
|
| 486 |
+
"epoch": 10.4,
|
|
|
|
| 487 |
"learning_rate": 0.0003,
|
| 488 |
+
"loss": 7.5747,
|
| 489 |
"step": 5500
|
| 490 |
},
|
| 491 |
{
|
| 492 |
+
"epoch": 10.59,
|
|
|
|
| 493 |
"learning_rate": 0.0003,
|
| 494 |
+
"loss": 7.7881,
|
| 495 |
"step": 5600
|
| 496 |
},
|
| 497 |
{
|
| 498 |
+
"epoch": 10.78,
|
|
|
|
| 499 |
"learning_rate": 0.0003,
|
| 500 |
+
"loss": 7.8095,
|
| 501 |
"step": 5700
|
| 502 |
},
|
| 503 |
{
|
| 504 |
+
"epoch": 10.96,
|
|
|
|
| 505 |
"learning_rate": 0.0003,
|
| 506 |
+
"loss": 7.8159,
|
| 507 |
"step": 5800
|
| 508 |
},
|
| 509 |
{
|
| 510 |
"epoch": 11.0,
|
| 511 |
+
"eval_accuracy": 0.2196923076923077,
|
| 512 |
+
"eval_loss": 6.883613586425781,
|
| 513 |
+
"eval_runtime": 4.1075,
|
| 514 |
+
"eval_samples_per_second": 121.727,
|
| 515 |
+
"eval_steps_per_second": 15.338,
|
| 516 |
"step": 5819
|
| 517 |
},
|
| 518 |
{
|
|
|
|
| 522 |
"step": 5819
|
| 523 |
},
|
| 524 |
{
|
| 525 |
+
"epoch": 11.15,
|
|
|
|
| 526 |
"learning_rate": 0.0003,
|
| 527 |
+
"loss": 7.7222,
|
| 528 |
"step": 5900
|
| 529 |
},
|
| 530 |
{
|
| 531 |
+
"epoch": 11.34,
|
|
|
|
| 532 |
"learning_rate": 0.0003,
|
| 533 |
+
"loss": 7.6203,
|
| 534 |
"step": 6000
|
| 535 |
},
|
| 536 |
{
|
| 537 |
+
"epoch": 11.53,
|
|
|
|
| 538 |
"learning_rate": 0.0003,
|
| 539 |
+
"loss": 7.8391,
|
| 540 |
"step": 6100
|
| 541 |
},
|
| 542 |
{
|
| 543 |
+
"epoch": 11.72,
|
|
|
|
| 544 |
"learning_rate": 0.0003,
|
| 545 |
+
"loss": 7.8888,
|
| 546 |
"step": 6200
|
| 547 |
},
|
| 548 |
{
|
| 549 |
+
"epoch": 11.91,
|
|
|
|
| 550 |
"learning_rate": 0.0003,
|
| 551 |
+
"loss": 7.975,
|
| 552 |
"step": 6300
|
| 553 |
},
|
| 554 |
{
|
| 555 |
"epoch": 12.0,
|
| 556 |
+
"eval_accuracy": 0.2196923076923077,
|
| 557 |
+
"eval_loss": 6.876262187957764,
|
| 558 |
+
"eval_runtime": 4.4184,
|
| 559 |
+
"eval_samples_per_second": 113.162,
|
| 560 |
+
"eval_steps_per_second": 14.258,
|
| 561 |
"step": 6348
|
| 562 |
},
|
| 563 |
{
|
|
|
|
| 567 |
"step": 6348
|
| 568 |
},
|
| 569 |
{
|
| 570 |
+
"epoch": 12.1,
|
|
|
|
| 571 |
"learning_rate": 0.0003,
|
| 572 |
+
"loss": 7.9981,
|
| 573 |
"step": 6400
|
| 574 |
},
|
| 575 |
{
|
| 576 |
+
"epoch": 12.29,
|
|
|
|
| 577 |
"learning_rate": 0.0003,
|
| 578 |
+
"loss": 7.9944,
|
| 579 |
"step": 6500
|
| 580 |
},
|
| 581 |
{
|
| 582 |
+
"epoch": 12.48,
|
|
|
|
| 583 |
"learning_rate": 0.0003,
|
| 584 |
+
"loss": 8.0191,
|
| 585 |
"step": 6600
|
| 586 |
},
|
| 587 |
{
|
| 588 |
+
"epoch": 12.67,
|
|
|
|
| 589 |
"learning_rate": 0.0003,
|
| 590 |
+
"loss": 8.0091,
|
| 591 |
"step": 6700
|
| 592 |
},
|
| 593 |
{
|
| 594 |
+
"epoch": 12.85,
|
|
|
|
| 595 |
"learning_rate": 0.0003,
|
| 596 |
+
"loss": 7.9902,
|
| 597 |
"step": 6800
|
| 598 |
},
|
| 599 |
{
|
| 600 |
"epoch": 13.0,
|
| 601 |
+
"eval_accuracy": 0.2196923076923077,
|
| 602 |
+
"eval_loss": 6.872635841369629,
|
| 603 |
+
"eval_runtime": 4.943,
|
| 604 |
+
"eval_samples_per_second": 101.152,
|
| 605 |
+
"eval_steps_per_second": 12.745,
|
| 606 |
"step": 6877
|
| 607 |
},
|
| 608 |
{
|
|
|
|
| 612 |
"step": 6877
|
| 613 |
},
|
| 614 |
{
|
| 615 |
+
"epoch": 13.04,
|
|
|
|
| 616 |
"learning_rate": 0.0003,
|
| 617 |
+
"loss": 8.0141,
|
| 618 |
"step": 6900
|
| 619 |
},
|
| 620 |
{
|
| 621 |
+
"epoch": 13.23,
|
|
|
|
| 622 |
"learning_rate": 0.0003,
|
| 623 |
+
"loss": 8.0041,
|
| 624 |
"step": 7000
|
| 625 |
},
|
| 626 |
{
|
| 627 |
+
"epoch": 13.42,
|
|
|
|
| 628 |
"learning_rate": 0.0003,
|
| 629 |
+
"loss": 7.9641,
|
| 630 |
"step": 7100
|
| 631 |
},
|
| 632 |
{
|
| 633 |
+
"epoch": 13.61,
|
|
|
|
| 634 |
"learning_rate": 0.0003,
|
| 635 |
+
"loss": 7.9734,
|
| 636 |
"step": 7200
|
| 637 |
},
|
| 638 |
{
|
| 639 |
+
"epoch": 13.8,
|
|
|
|
| 640 |
"learning_rate": 0.0003,
|
| 641 |
+
"loss": 7.9893,
|
| 642 |
"step": 7300
|
| 643 |
},
|
| 644 |
{
|
| 645 |
+
"epoch": 13.99,
|
|
|
|
| 646 |
"learning_rate": 0.0003,
|
| 647 |
+
"loss": 7.8585,
|
| 648 |
"step": 7400
|
| 649 |
},
|
| 650 |
{
|
| 651 |
"epoch": 14.0,
|
| 652 |
+
"eval_accuracy": 0.2194871794871795,
|
| 653 |
+
"eval_loss": 6.823603630065918,
|
| 654 |
+
"eval_runtime": 4.416,
|
| 655 |
+
"eval_samples_per_second": 113.224,
|
| 656 |
+
"eval_steps_per_second": 14.266,
|
| 657 |
"step": 7406
|
| 658 |
},
|
| 659 |
{
|
|
|
|
| 663 |
"step": 7406
|
| 664 |
},
|
| 665 |
{
|
| 666 |
+
"epoch": 14.18,
|
|
|
|
| 667 |
"learning_rate": 0.0003,
|
| 668 |
+
"loss": 7.3595,
|
| 669 |
"step": 7500
|
| 670 |
},
|
| 671 |
{
|
| 672 |
+
"epoch": 14.37,
|
|
|
|
| 673 |
"learning_rate": 0.0003,
|
| 674 |
+
"loss": 7.3486,
|
| 675 |
"step": 7600
|
| 676 |
},
|
| 677 |
{
|
| 678 |
+
"epoch": 14.56,
|
|
|
|
| 679 |
"learning_rate": 0.0003,
|
| 680 |
+
"loss": 7.335,
|
| 681 |
"step": 7700
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 14.74,
|
|
|
|
| 685 |
"learning_rate": 0.0003,
|
| 686 |
+
"loss": 7.3724,
|
| 687 |
"step": 7800
|
| 688 |
},
|
| 689 |
{
|
| 690 |
+
"epoch": 14.93,
|
|
|
|
| 691 |
"learning_rate": 0.0003,
|
| 692 |
+
"loss": 7.3449,
|
| 693 |
"step": 7900
|
| 694 |
},
|
| 695 |
{
|
| 696 |
"epoch": 15.0,
|
| 697 |
+
"eval_accuracy": 0.1922051282051282,
|
| 698 |
+
"eval_loss": 7.199692249298096,
|
| 699 |
+
"eval_runtime": 4.4181,
|
| 700 |
+
"eval_samples_per_second": 113.17,
|
| 701 |
+
"eval_steps_per_second": 14.259,
|
| 702 |
"step": 7935
|
| 703 |
},
|
| 704 |
{
|
|
|
|
| 708 |
"step": 7935
|
| 709 |
},
|
| 710 |
{
|
| 711 |
+
"epoch": 15.12,
|
|
|
|
| 712 |
"learning_rate": 0.0003,
|
| 713 |
+
"loss": 7.3378,
|
| 714 |
"step": 8000
|
| 715 |
},
|
| 716 |
{
|
| 717 |
+
"epoch": 15.31,
|
|
|
|
| 718 |
"learning_rate": 0.0003,
|
| 719 |
+
"loss": 7.3525,
|
| 720 |
"step": 8100
|
| 721 |
},
|
| 722 |
{
|
| 723 |
+
"epoch": 15.5,
|
|
|
|
| 724 |
"learning_rate": 0.0003,
|
| 725 |
+
"loss": 7.3645,
|
| 726 |
"step": 8200
|
| 727 |
},
|
| 728 |
{
|
| 729 |
+
"epoch": 15.69,
|
|
|
|
| 730 |
"learning_rate": 0.0003,
|
| 731 |
+
"loss": 7.3455,
|
| 732 |
"step": 8300
|
| 733 |
},
|
| 734 |
{
|
| 735 |
+
"epoch": 15.88,
|
|
|
|
| 736 |
"learning_rate": 0.0003,
|
| 737 |
+
"loss": 7.3133,
|
| 738 |
"step": 8400
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 16.0,
|
| 742 |
+
"eval_accuracy": 0.18692307692307691,
|
| 743 |
+
"eval_loss": 6.745450496673584,
|
| 744 |
+
"eval_runtime": 4.218,
|
| 745 |
+
"eval_samples_per_second": 118.541,
|
| 746 |
+
"eval_steps_per_second": 14.936,
|
| 747 |
"step": 8464
|
| 748 |
},
|
| 749 |
{
|
|
|
|
| 753 |
"step": 8464
|
| 754 |
},
|
| 755 |
{
|
| 756 |
+
"epoch": 16.07,
|
|
|
|
| 757 |
"learning_rate": 0.0003,
|
| 758 |
+
"loss": 7.3153,
|
| 759 |
"step": 8500
|
| 760 |
},
|
| 761 |
{
|
| 762 |
+
"epoch": 16.26,
|
|
|
|
| 763 |
"learning_rate": 0.0003,
|
| 764 |
+
"loss": 7.3123,
|
| 765 |
"step": 8600
|
| 766 |
},
|
| 767 |
{
|
| 768 |
+
"epoch": 16.45,
|
|
|
|
| 769 |
"learning_rate": 0.0003,
|
| 770 |
+
"loss": 7.3081,
|
| 771 |
"step": 8700
|
| 772 |
},
|
| 773 |
{
|
| 774 |
+
"epoch": 16.64,
|
|
|
|
| 775 |
"learning_rate": 0.0003,
|
| 776 |
+
"loss": 7.3069,
|
| 777 |
"step": 8800
|
| 778 |
},
|
| 779 |
{
|
| 780 |
+
"epoch": 16.82,
|
|
|
|
| 781 |
"learning_rate": 0.0003,
|
| 782 |
+
"loss": 7.305,
|
| 783 |
"step": 8900
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"epoch": 17.0,
|
| 787 |
+
"eval_accuracy": 0.18692307692307691,
|
| 788 |
+
"eval_loss": 6.745449066162109,
|
| 789 |
+
"eval_runtime": 4.2111,
|
| 790 |
+
"eval_samples_per_second": 118.735,
|
| 791 |
+
"eval_steps_per_second": 14.961,
|
| 792 |
"step": 8993
|
| 793 |
},
|
| 794 |
{
|
|
|
|
| 798 |
"step": 8993
|
| 799 |
},
|
| 800 |
{
|
| 801 |
+
"epoch": 17.01,
|
|
|
|
| 802 |
"learning_rate": 0.0003,
|
| 803 |
+
"loss": 7.3114,
|
| 804 |
"step": 9000
|
| 805 |
},
|
| 806 |
{
|
| 807 |
+
"epoch": 17.2,
|
|
|
|
| 808 |
"learning_rate": 0.0003,
|
| 809 |
+
"loss": 7.3226,
|
| 810 |
"step": 9100
|
| 811 |
},
|
| 812 |
{
|
| 813 |
+
"epoch": 17.39,
|
|
|
|
| 814 |
"learning_rate": 0.0003,
|
| 815 |
+
"loss": 7.3234,
|
| 816 |
"step": 9200
|
| 817 |
},
|
| 818 |
{
|
| 819 |
+
"epoch": 17.58,
|
|
|
|
| 820 |
"learning_rate": 0.0003,
|
| 821 |
+
"loss": 7.3929,
|
| 822 |
"step": 9300
|
| 823 |
},
|
| 824 |
{
|
| 825 |
+
"epoch": 17.77,
|
|
|
|
| 826 |
"learning_rate": 0.0003,
|
| 827 |
+
"loss": 7.5523,
|
| 828 |
"step": 9400
|
| 829 |
},
|
| 830 |
{
|
| 831 |
+
"epoch": 17.96,
|
|
|
|
| 832 |
"learning_rate": 0.0003,
|
| 833 |
+
"loss": 7.7463,
|
| 834 |
"step": 9500
|
| 835 |
},
|
| 836 |
{
|
| 837 |
"epoch": 18.0,
|
| 838 |
+
"eval_accuracy": 0.18697435897435896,
|
| 839 |
+
"eval_loss": 8.831918716430664,
|
| 840 |
+
"eval_runtime": 4.1023,
|
| 841 |
+
"eval_samples_per_second": 121.881,
|
| 842 |
+
"eval_steps_per_second": 15.357,
|
| 843 |
"step": 9522
|
| 844 |
},
|
| 845 |
{
|
|
|
|
| 849 |
"step": 9522
|
| 850 |
},
|
| 851 |
{
|
| 852 |
+
"epoch": 18.15,
|
|
|
|
| 853 |
"learning_rate": 0.0003,
|
| 854 |
+
"loss": 9.7591,
|
| 855 |
"step": 9600
|
| 856 |
},
|
| 857 |
{
|
| 858 |
+
"epoch": 18.34,
|
|
|
|
| 859 |
"learning_rate": 0.0003,
|
| 860 |
+
"loss": 10.4962,
|
| 861 |
"step": 9700
|
| 862 |
},
|
| 863 |
{
|
| 864 |
+
"epoch": 18.53,
|
|
|
|
| 865 |
"learning_rate": 0.0003,
|
| 866 |
+
"loss": 9.9571,
|
| 867 |
"step": 9800
|
| 868 |
},
|
| 869 |
{
|
| 870 |
+
"epoch": 18.71,
|
|
|
|
| 871 |
"learning_rate": 0.0003,
|
| 872 |
+
"loss": 9.9661,
|
| 873 |
"step": 9900
|
| 874 |
},
|
| 875 |
{
|
| 876 |
+
"epoch": 18.9,
|
|
|
|
| 877 |
"learning_rate": 0.0003,
|
| 878 |
+
"loss": 9.9696,
|
| 879 |
"step": 10000
|
| 880 |
},
|
| 881 |
{
|
| 882 |
"epoch": 19.0,
|
| 883 |
+
"eval_accuracy": 0.16923076923076924,
|
| 884 |
+
"eval_loss": 10.070154190063477,
|
| 885 |
+
"eval_runtime": 4.1088,
|
| 886 |
+
"eval_samples_per_second": 121.69,
|
| 887 |
+
"eval_steps_per_second": 15.333,
|
| 888 |
"step": 10051
|
| 889 |
},
|
| 890 |
{
|
|
|
|
| 894 |
"step": 10051
|
| 895 |
},
|
| 896 |
{
|
| 897 |
+
"epoch": 19.09,
|
|
|
|
| 898 |
"learning_rate": 0.0003,
|
| 899 |
+
"loss": 9.9832,
|
| 900 |
"step": 10100
|
| 901 |
},
|
| 902 |
{
|
| 903 |
+
"epoch": 19.28,
|
|
|
|
| 904 |
"learning_rate": 0.0003,
|
| 905 |
+
"loss": 9.9764,
|
| 906 |
"step": 10200
|
| 907 |
},
|
| 908 |
{
|
| 909 |
+
"epoch": 19.47,
|
|
|
|
| 910 |
"learning_rate": 0.0003,
|
| 911 |
+
"loss": 9.967,
|
| 912 |
"step": 10300
|
| 913 |
},
|
| 914 |
{
|
| 915 |
+
"epoch": 19.66,
|
|
|
|
| 916 |
"learning_rate": 0.0003,
|
| 917 |
+
"loss": 9.9739,
|
| 918 |
"step": 10400
|
| 919 |
},
|
| 920 |
{
|
| 921 |
+
"epoch": 19.85,
|
|
|
|
| 922 |
"learning_rate": 0.0003,
|
| 923 |
+
"loss": 9.9845,
|
| 924 |
"step": 10500
|
| 925 |
},
|
| 926 |
{
|
| 927 |
"epoch": 20.0,
|
| 928 |
+
"eval_accuracy": 0.16923076923076924,
|
| 929 |
+
"eval_loss": 10.070154190063477,
|
| 930 |
+
"eval_runtime": 4.4134,
|
| 931 |
+
"eval_samples_per_second": 113.292,
|
| 932 |
+
"eval_steps_per_second": 14.275,
|
| 933 |
"step": 10580
|
| 934 |
},
|
| 935 |
{
|
|
|
|
| 939 |
"step": 10580
|
| 940 |
},
|
| 941 |
{
|
| 942 |
+
"epoch": 20.04,
|
|
|
|
| 943 |
"learning_rate": 0.0003,
|
| 944 |
+
"loss": 9.9691,
|
| 945 |
"step": 10600
|
| 946 |
},
|
| 947 |
{
|
| 948 |
+
"epoch": 20.23,
|
|
|
|
| 949 |
"learning_rate": 0.0003,
|
| 950 |
+
"loss": 9.9408,
|
| 951 |
"step": 10700
|
| 952 |
},
|
| 953 |
{
|
| 954 |
+
"epoch": 20.42,
|
|
|
|
| 955 |
"learning_rate": 0.0003,
|
| 956 |
+
"loss": 9.9893,
|
| 957 |
"step": 10800
|
| 958 |
},
|
| 959 |
{
|
| 960 |
+
"epoch": 20.6,
|
|
|
|
| 961 |
"learning_rate": 0.0003,
|
| 962 |
+
"loss": 9.9797,
|
| 963 |
"step": 10900
|
| 964 |
},
|
| 965 |
{
|
| 966 |
+
"epoch": 20.79,
|
|
|
|
| 967 |
"learning_rate": 0.0003,
|
| 968 |
+
"loss": 9.9908,
|
| 969 |
"step": 11000
|
| 970 |
},
|
| 971 |
{
|
| 972 |
+
"epoch": 20.98,
|
|
|
|
| 973 |
"learning_rate": 0.0003,
|
| 974 |
+
"loss": 9.9502,
|
| 975 |
"step": 11100
|
| 976 |
},
|
| 977 |
{
|
| 978 |
"epoch": 21.0,
|
| 979 |
+
"eval_accuracy": 0.16923076923076924,
|
| 980 |
+
"eval_loss": 10.070154190063477,
|
| 981 |
+
"eval_runtime": 4.2664,
|
| 982 |
+
"eval_samples_per_second": 117.194,
|
| 983 |
+
"eval_steps_per_second": 14.766,
|
| 984 |
"step": 11109
|
| 985 |
},
|
| 986 |
{
|
|
|
|
| 990 |
"step": 11109
|
| 991 |
},
|
| 992 |
{
|
| 993 |
+
"epoch": 21.17,
|
|
|
|
| 994 |
"learning_rate": 0.0003,
|
| 995 |
+
"loss": 9.9688,
|
| 996 |
"step": 11200
|
| 997 |
},
|
| 998 |
{
|
| 999 |
+
"epoch": 21.36,
|
|
|
|
| 1000 |
"learning_rate": 0.0003,
|
| 1001 |
+
"loss": 9.9395,
|
| 1002 |
"step": 11300
|
| 1003 |
},
|
| 1004 |
{
|
| 1005 |
+
"epoch": 21.55,
|
|
|
|
| 1006 |
"learning_rate": 0.0003,
|
| 1007 |
+
"loss": 9.9855,
|
| 1008 |
"step": 11400
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
+
"epoch": 21.74,
|
|
|
|
| 1012 |
"learning_rate": 0.0003,
|
| 1013 |
+
"loss": 9.9895,
|
| 1014 |
"step": 11500
|
| 1015 |
},
|
| 1016 |
{
|
| 1017 |
+
"epoch": 21.93,
|
|
|
|
| 1018 |
"learning_rate": 0.0003,
|
| 1019 |
+
"loss": 9.9726,
|
| 1020 |
"step": 11600
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
"epoch": 22.0,
|
| 1024 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1025 |
+
"eval_loss": 10.070154190063477,
|
| 1026 |
+
"eval_runtime": 4.1678,
|
| 1027 |
+
"eval_samples_per_second": 119.966,
|
| 1028 |
+
"eval_steps_per_second": 15.116,
|
| 1029 |
"step": 11638
|
| 1030 |
},
|
| 1031 |
{
|
|
|
|
| 1035 |
"step": 11638
|
| 1036 |
},
|
| 1037 |
{
|
| 1038 |
+
"epoch": 22.12,
|
|
|
|
| 1039 |
"learning_rate": 0.0003,
|
| 1040 |
+
"loss": 9.9604,
|
| 1041 |
"step": 11700
|
| 1042 |
},
|
| 1043 |
{
|
| 1044 |
+
"epoch": 22.31,
|
|
|
|
| 1045 |
"learning_rate": 0.0003,
|
| 1046 |
+
"loss": 9.9835,
|
| 1047 |
"step": 11800
|
| 1048 |
},
|
| 1049 |
{
|
| 1050 |
+
"epoch": 22.5,
|
|
|
|
| 1051 |
"learning_rate": 0.0003,
|
| 1052 |
+
"loss": 9.9707,
|
| 1053 |
"step": 11900
|
| 1054 |
},
|
| 1055 |
{
|
| 1056 |
+
"epoch": 22.68,
|
|
|
|
| 1057 |
"learning_rate": 0.0003,
|
| 1058 |
+
"loss": 9.9732,
|
| 1059 |
"step": 12000
|
| 1060 |
},
|
| 1061 |
{
|
| 1062 |
+
"epoch": 22.87,
|
|
|
|
| 1063 |
"learning_rate": 0.0003,
|
| 1064 |
+
"loss": 9.9648,
|
| 1065 |
"step": 12100
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 23.0,
|
| 1069 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1070 |
+
"eval_loss": 10.070154190063477,
|
| 1071 |
+
"eval_runtime": 4.8312,
|
| 1072 |
+
"eval_samples_per_second": 103.494,
|
| 1073 |
+
"eval_steps_per_second": 13.04,
|
| 1074 |
"step": 12167
|
| 1075 |
},
|
| 1076 |
{
|
|
|
|
| 1080 |
"step": 12167
|
| 1081 |
},
|
| 1082 |
{
|
| 1083 |
+
"epoch": 23.06,
|
|
|
|
| 1084 |
"learning_rate": 0.0003,
|
| 1085 |
+
"loss": 9.9607,
|
| 1086 |
"step": 12200
|
| 1087 |
},
|
| 1088 |
{
|
| 1089 |
+
"epoch": 23.25,
|
|
|
|
| 1090 |
"learning_rate": 0.0003,
|
| 1091 |
+
"loss": 10.0081,
|
| 1092 |
"step": 12300
|
| 1093 |
},
|
| 1094 |
{
|
| 1095 |
+
"epoch": 23.44,
|
|
|
|
| 1096 |
"learning_rate": 0.0003,
|
| 1097 |
+
"loss": 9.9695,
|
| 1098 |
"step": 12400
|
| 1099 |
},
|
| 1100 |
{
|
| 1101 |
+
"epoch": 23.63,
|
|
|
|
| 1102 |
"learning_rate": 0.0003,
|
| 1103 |
+
"loss": 9.9583,
|
| 1104 |
"step": 12500
|
| 1105 |
},
|
| 1106 |
{
|
| 1107 |
+
"epoch": 23.82,
|
|
|
|
| 1108 |
"learning_rate": 0.0003,
|
| 1109 |
+
"loss": 9.9579,
|
| 1110 |
"step": 12600
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
"epoch": 24.0,
|
| 1114 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1115 |
+
"eval_loss": 10.070154190063477,
|
| 1116 |
+
"eval_runtime": 4.8233,
|
| 1117 |
+
"eval_samples_per_second": 103.664,
|
| 1118 |
+
"eval_steps_per_second": 13.062,
|
| 1119 |
"step": 12696
|
| 1120 |
},
|
| 1121 |
{
|
|
|
|
| 1125 |
"step": 12696
|
| 1126 |
},
|
| 1127 |
{
|
| 1128 |
+
"epoch": 24.01,
|
|
|
|
| 1129 |
"learning_rate": 0.0003,
|
| 1130 |
+
"loss": 9.9819,
|
| 1131 |
"step": 12700
|
| 1132 |
},
|
| 1133 |
{
|
| 1134 |
+
"epoch": 24.2,
|
|
|
|
| 1135 |
"learning_rate": 0.0003,
|
| 1136 |
+
"loss": 9.9625,
|
| 1137 |
"step": 12800
|
| 1138 |
},
|
| 1139 |
{
|
| 1140 |
+
"epoch": 24.39,
|
|
|
|
| 1141 |
"learning_rate": 0.0003,
|
| 1142 |
+
"loss": 9.9902,
|
| 1143 |
"step": 12900
|
| 1144 |
},
|
| 1145 |
{
|
| 1146 |
+
"epoch": 24.57,
|
|
|
|
| 1147 |
"learning_rate": 0.0003,
|
| 1148 |
+
"loss": 9.9718,
|
| 1149 |
"step": 13000
|
| 1150 |
},
|
| 1151 |
{
|
| 1152 |
+
"epoch": 24.76,
|
|
|
|
| 1153 |
"learning_rate": 0.0003,
|
| 1154 |
+
"loss": 9.9811,
|
| 1155 |
"step": 13100
|
| 1156 |
},
|
| 1157 |
{
|
| 1158 |
+
"epoch": 24.95,
|
|
|
|
| 1159 |
"learning_rate": 0.0003,
|
| 1160 |
+
"loss": 9.9519,
|
| 1161 |
"step": 13200
|
| 1162 |
},
|
| 1163 |
{
|
| 1164 |
"epoch": 25.0,
|
| 1165 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1166 |
+
"eval_loss": 10.070154190063477,
|
| 1167 |
+
"eval_runtime": 4.8319,
|
| 1168 |
+
"eval_samples_per_second": 103.478,
|
| 1169 |
+
"eval_steps_per_second": 13.038,
|
| 1170 |
"step": 13225
|
| 1171 |
},
|
| 1172 |
{
|
|
|
|
| 1176 |
"step": 13225
|
| 1177 |
},
|
| 1178 |
{
|
| 1179 |
+
"epoch": 25.14,
|
|
|
|
| 1180 |
"learning_rate": 0.0003,
|
| 1181 |
+
"loss": 9.9708,
|
| 1182 |
"step": 13300
|
| 1183 |
},
|
| 1184 |
{
|
| 1185 |
+
"epoch": 25.33,
|
|
|
|
| 1186 |
"learning_rate": 0.0003,
|
| 1187 |
+
"loss": 9.9703,
|
| 1188 |
"step": 13400
|
| 1189 |
},
|
| 1190 |
{
|
| 1191 |
+
"epoch": 25.52,
|
|
|
|
| 1192 |
"learning_rate": 0.0003,
|
| 1193 |
+
"loss": 9.9751,
|
| 1194 |
"step": 13500
|
| 1195 |
},
|
| 1196 |
{
|
| 1197 |
+
"epoch": 25.71,
|
|
|
|
| 1198 |
"learning_rate": 0.0003,
|
| 1199 |
+
"loss": 9.9741,
|
| 1200 |
"step": 13600
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
+
"epoch": 25.9,
|
|
|
|
| 1204 |
"learning_rate": 0.0003,
|
| 1205 |
+
"loss": 9.9849,
|
| 1206 |
"step": 13700
|
| 1207 |
},
|
| 1208 |
{
|
| 1209 |
"epoch": 26.0,
|
| 1210 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1211 |
+
"eval_loss": 10.070154190063477,
|
| 1212 |
+
"eval_runtime": 4.1084,
|
| 1213 |
+
"eval_samples_per_second": 121.703,
|
| 1214 |
+
"eval_steps_per_second": 15.335,
|
| 1215 |
"step": 13754
|
| 1216 |
},
|
| 1217 |
{
|
|
|
|
| 1221 |
"step": 13754
|
| 1222 |
},
|
| 1223 |
{
|
| 1224 |
+
"epoch": 26.09,
|
|
|
|
| 1225 |
"learning_rate": 0.0003,
|
| 1226 |
+
"loss": 9.9706,
|
| 1227 |
"step": 13800
|
| 1228 |
},
|
| 1229 |
{
|
| 1230 |
+
"epoch": 26.28,
|
|
|
|
| 1231 |
"learning_rate": 0.0003,
|
| 1232 |
+
"loss": 9.9562,
|
| 1233 |
"step": 13900
|
| 1234 |
},
|
| 1235 |
{
|
| 1236 |
+
"epoch": 26.47,
|
|
|
|
| 1237 |
"learning_rate": 0.0003,
|
| 1238 |
+
"loss": 9.9702,
|
| 1239 |
"step": 14000
|
| 1240 |
},
|
| 1241 |
{
|
| 1242 |
+
"epoch": 26.65,
|
|
|
|
| 1243 |
"learning_rate": 0.0003,
|
| 1244 |
+
"loss": 9.9922,
|
| 1245 |
"step": 14100
|
| 1246 |
},
|
| 1247 |
{
|
| 1248 |
+
"epoch": 26.84,
|
|
|
|
| 1249 |
"learning_rate": 0.0003,
|
| 1250 |
+
"loss": 9.9591,
|
| 1251 |
"step": 14200
|
| 1252 |
},
|
| 1253 |
{
|
| 1254 |
"epoch": 27.0,
|
| 1255 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1256 |
+
"eval_loss": 10.070154190063477,
|
| 1257 |
+
"eval_runtime": 4.4181,
|
| 1258 |
+
"eval_samples_per_second": 113.171,
|
| 1259 |
+
"eval_steps_per_second": 14.26,
|
| 1260 |
"step": 14283
|
| 1261 |
},
|
| 1262 |
{
|
|
|
|
| 1266 |
"step": 14283
|
| 1267 |
},
|
| 1268 |
{
|
| 1269 |
+
"epoch": 27.03,
|
|
|
|
| 1270 |
"learning_rate": 0.0003,
|
| 1271 |
+
"loss": 9.9823,
|
| 1272 |
"step": 14300
|
| 1273 |
},
|
| 1274 |
{
|
| 1275 |
+
"epoch": 27.22,
|
|
|
|
| 1276 |
"learning_rate": 0.0003,
|
| 1277 |
+
"loss": 9.9827,
|
| 1278 |
"step": 14400
|
| 1279 |
},
|
| 1280 |
{
|
| 1281 |
+
"epoch": 27.41,
|
|
|
|
| 1282 |
"learning_rate": 0.0003,
|
| 1283 |
+
"loss": 9.9782,
|
| 1284 |
"step": 14500
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
+
"epoch": 27.6,
|
|
|
|
| 1288 |
"learning_rate": 0.0003,
|
| 1289 |
+
"loss": 9.9551,
|
| 1290 |
"step": 14600
|
| 1291 |
},
|
| 1292 |
{
|
| 1293 |
+
"epoch": 27.79,
|
|
|
|
| 1294 |
"learning_rate": 0.0003,
|
| 1295 |
+
"loss": 9.9843,
|
| 1296 |
"step": 14700
|
| 1297 |
},
|
| 1298 |
{
|
| 1299 |
+
"epoch": 27.98,
|
|
|
|
| 1300 |
"learning_rate": 0.0003,
|
| 1301 |
+
"loss": 9.9701,
|
| 1302 |
"step": 14800
|
| 1303 |
},
|
| 1304 |
{
|
| 1305 |
"epoch": 28.0,
|
| 1306 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1307 |
+
"eval_loss": 10.070154190063477,
|
| 1308 |
+
"eval_runtime": 4.1081,
|
| 1309 |
+
"eval_samples_per_second": 121.711,
|
| 1310 |
+
"eval_steps_per_second": 15.336,
|
| 1311 |
"step": 14812
|
| 1312 |
},
|
| 1313 |
{
|
|
|
|
| 1317 |
"step": 14812
|
| 1318 |
},
|
| 1319 |
{
|
| 1320 |
+
"epoch": 28.17,
|
|
|
|
| 1321 |
"learning_rate": 0.0003,
|
| 1322 |
+
"loss": 9.9795,
|
| 1323 |
"step": 14900
|
| 1324 |
},
|
| 1325 |
{
|
| 1326 |
+
"epoch": 28.36,
|
|
|
|
| 1327 |
"learning_rate": 0.0003,
|
| 1328 |
+
"loss": 9.9649,
|
| 1329 |
"step": 15000
|
| 1330 |
},
|
| 1331 |
{
|
| 1332 |
+
"epoch": 28.54,
|
|
|
|
| 1333 |
"learning_rate": 0.0003,
|
| 1334 |
+
"loss": 9.9753,
|
| 1335 |
"step": 15100
|
| 1336 |
},
|
| 1337 |
{
|
| 1338 |
+
"epoch": 28.73,
|
|
|
|
| 1339 |
"learning_rate": 0.0003,
|
| 1340 |
+
"loss": 9.9503,
|
| 1341 |
"step": 15200
|
| 1342 |
},
|
| 1343 |
{
|
| 1344 |
+
"epoch": 28.92,
|
|
|
|
| 1345 |
"learning_rate": 0.0003,
|
| 1346 |
+
"loss": 9.998,
|
| 1347 |
"step": 15300
|
| 1348 |
},
|
| 1349 |
{
|
| 1350 |
"epoch": 29.0,
|
| 1351 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1352 |
+
"eval_loss": 10.070154190063477,
|
| 1353 |
+
"eval_runtime": 4.2032,
|
| 1354 |
+
"eval_samples_per_second": 118.957,
|
| 1355 |
+
"eval_steps_per_second": 14.989,
|
| 1356 |
"step": 15341
|
| 1357 |
},
|
| 1358 |
{
|
|
|
|
| 1362 |
"step": 15341
|
| 1363 |
},
|
| 1364 |
{
|
| 1365 |
+
"epoch": 29.11,
|
|
|
|
| 1366 |
"learning_rate": 0.0003,
|
| 1367 |
+
"loss": 9.9544,
|
| 1368 |
"step": 15400
|
| 1369 |
},
|
| 1370 |
{
|
| 1371 |
+
"epoch": 29.3,
|
|
|
|
| 1372 |
"learning_rate": 0.0003,
|
| 1373 |
+
"loss": 9.9725,
|
| 1374 |
"step": 15500
|
| 1375 |
},
|
| 1376 |
{
|
| 1377 |
+
"epoch": 29.49,
|
|
|
|
| 1378 |
"learning_rate": 0.0003,
|
| 1379 |
+
"loss": 9.9652,
|
| 1380 |
"step": 15600
|
| 1381 |
},
|
| 1382 |
{
|
| 1383 |
+
"epoch": 29.68,
|
|
|
|
| 1384 |
"learning_rate": 0.0003,
|
| 1385 |
+
"loss": 9.9737,
|
| 1386 |
"step": 15700
|
| 1387 |
},
|
| 1388 |
{
|
| 1389 |
+
"epoch": 29.87,
|
|
|
|
| 1390 |
"learning_rate": 0.0003,
|
| 1391 |
+
"loss": 9.9878,
|
| 1392 |
"step": 15800
|
| 1393 |
},
|
| 1394 |
{
|
| 1395 |
"epoch": 30.0,
|
| 1396 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1397 |
+
"eval_loss": 10.070154190063477,
|
| 1398 |
+
"eval_runtime": 4.4112,
|
| 1399 |
+
"eval_samples_per_second": 113.348,
|
| 1400 |
+
"eval_steps_per_second": 14.282,
|
| 1401 |
"step": 15870
|
| 1402 |
},
|
| 1403 |
{
|
|
|
|
| 1407 |
"step": 15870
|
| 1408 |
},
|
| 1409 |
{
|
| 1410 |
+
"epoch": 30.06,
|
|
|
|
| 1411 |
"learning_rate": 0.0003,
|
| 1412 |
+
"loss": 9.9856,
|
| 1413 |
"step": 15900
|
| 1414 |
},
|
| 1415 |
{
|
| 1416 |
+
"epoch": 30.25,
|
|
|
|
| 1417 |
"learning_rate": 0.0003,
|
| 1418 |
+
"loss": 10.0003,
|
| 1419 |
"step": 16000
|
| 1420 |
},
|
| 1421 |
{
|
| 1422 |
+
"epoch": 30.43,
|
|
|
|
| 1423 |
"learning_rate": 0.0003,
|
| 1424 |
+
"loss": 9.9511,
|
| 1425 |
"step": 16100
|
| 1426 |
},
|
| 1427 |
{
|
| 1428 |
+
"epoch": 30.62,
|
|
|
|
| 1429 |
"learning_rate": 0.0003,
|
| 1430 |
+
"loss": 9.9582,
|
| 1431 |
"step": 16200
|
| 1432 |
},
|
| 1433 |
{
|
| 1434 |
+
"epoch": 30.81,
|
|
|
|
| 1435 |
"learning_rate": 0.0003,
|
| 1436 |
+
"loss": 9.9882,
|
| 1437 |
"step": 16300
|
| 1438 |
},
|
| 1439 |
{
|
| 1440 |
"epoch": 31.0,
|
| 1441 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1442 |
+
"eval_loss": 10.070154190063477,
|
| 1443 |
+
"eval_runtime": 4.4185,
|
| 1444 |
+
"eval_samples_per_second": 113.16,
|
| 1445 |
+
"eval_steps_per_second": 14.258,
|
| 1446 |
"step": 16399
|
| 1447 |
},
|
| 1448 |
{
|
|
|
|
| 1452 |
"step": 16399
|
| 1453 |
},
|
| 1454 |
{
|
| 1455 |
+
"epoch": 31.0,
|
|
|
|
| 1456 |
"learning_rate": 0.0003,
|
| 1457 |
+
"loss": 9.9649,
|
| 1458 |
"step": 16400
|
| 1459 |
},
|
| 1460 |
{
|
| 1461 |
+
"epoch": 31.19,
|
|
|
|
| 1462 |
"learning_rate": 0.0003,
|
| 1463 |
+
"loss": 9.9884,
|
| 1464 |
"step": 16500
|
| 1465 |
},
|
| 1466 |
{
|
| 1467 |
+
"epoch": 31.38,
|
|
|
|
| 1468 |
"learning_rate": 0.0003,
|
| 1469 |
+
"loss": 9.9516,
|
| 1470 |
"step": 16600
|
| 1471 |
},
|
| 1472 |
{
|
| 1473 |
+
"epoch": 31.57,
|
|
|
|
| 1474 |
"learning_rate": 0.0003,
|
| 1475 |
+
"loss": 9.9755,
|
| 1476 |
"step": 16700
|
| 1477 |
},
|
| 1478 |
{
|
| 1479 |
+
"epoch": 31.76,
|
|
|
|
| 1480 |
"learning_rate": 0.0003,
|
| 1481 |
+
"loss": 9.9773,
|
| 1482 |
"step": 16800
|
| 1483 |
},
|
| 1484 |
{
|
| 1485 |
+
"epoch": 31.95,
|
|
|
|
| 1486 |
"learning_rate": 0.0003,
|
| 1487 |
+
"loss": 9.9741,
|
| 1488 |
"step": 16900
|
| 1489 |
},
|
| 1490 |
{
|
| 1491 |
"epoch": 32.0,
|
| 1492 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1493 |
+
"eval_loss": 10.070154190063477,
|
| 1494 |
+
"eval_runtime": 4.8174,
|
| 1495 |
+
"eval_samples_per_second": 103.79,
|
| 1496 |
+
"eval_steps_per_second": 13.078,
|
| 1497 |
"step": 16928
|
| 1498 |
},
|
| 1499 |
{
|
|
|
|
| 1503 |
"step": 16928
|
| 1504 |
},
|
| 1505 |
{
|
| 1506 |
+
"epoch": 32.14,
|
|
|
|
| 1507 |
"learning_rate": 0.0003,
|
| 1508 |
+
"loss": 9.9781,
|
| 1509 |
"step": 17000
|
| 1510 |
},
|
| 1511 |
{
|
| 1512 |
+
"epoch": 32.33,
|
|
|
|
| 1513 |
"learning_rate": 0.0003,
|
| 1514 |
+
"loss": 9.9587,
|
| 1515 |
"step": 17100
|
| 1516 |
},
|
| 1517 |
{
|
| 1518 |
+
"epoch": 32.51,
|
|
|
|
| 1519 |
"learning_rate": 0.0003,
|
| 1520 |
+
"loss": 9.9884,
|
| 1521 |
"step": 17200
|
| 1522 |
},
|
| 1523 |
{
|
| 1524 |
+
"epoch": 32.7,
|
|
|
|
| 1525 |
"learning_rate": 0.0003,
|
| 1526 |
+
"loss": 9.9727,
|
| 1527 |
"step": 17300
|
| 1528 |
},
|
| 1529 |
{
|
| 1530 |
+
"epoch": 32.89,
|
|
|
|
| 1531 |
"learning_rate": 0.0003,
|
| 1532 |
+
"loss": 9.9545,
|
| 1533 |
"step": 17400
|
| 1534 |
},
|
| 1535 |
{
|
| 1536 |
"epoch": 33.0,
|
| 1537 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1538 |
+
"eval_loss": 10.070154190063477,
|
| 1539 |
+
"eval_runtime": 4.3024,
|
| 1540 |
+
"eval_samples_per_second": 116.214,
|
| 1541 |
+
"eval_steps_per_second": 14.643,
|
| 1542 |
"step": 17457
|
| 1543 |
},
|
| 1544 |
{
|
|
|
|
| 1548 |
"step": 17457
|
| 1549 |
},
|
| 1550 |
{
|
| 1551 |
+
"epoch": 33.08,
|
|
|
|
| 1552 |
"learning_rate": 0.0003,
|
| 1553 |
+
"loss": 9.9696,
|
| 1554 |
"step": 17500
|
| 1555 |
},
|
| 1556 |
{
|
| 1557 |
+
"epoch": 33.27,
|
|
|
|
| 1558 |
"learning_rate": 0.0003,
|
| 1559 |
+
"loss": 9.9694,
|
| 1560 |
"step": 17600
|
| 1561 |
},
|
| 1562 |
{
|
| 1563 |
+
"epoch": 33.46,
|
|
|
|
| 1564 |
"learning_rate": 0.0003,
|
| 1565 |
+
"loss": 10.0003,
|
| 1566 |
"step": 17700
|
| 1567 |
},
|
| 1568 |
{
|
| 1569 |
+
"epoch": 33.65,
|
|
|
|
| 1570 |
"learning_rate": 0.0003,
|
| 1571 |
+
"loss": 9.9686,
|
| 1572 |
"step": 17800
|
| 1573 |
},
|
| 1574 |
{
|
| 1575 |
+
"epoch": 33.84,
|
|
|
|
| 1576 |
"learning_rate": 0.0003,
|
| 1577 |
+
"loss": 9.9538,
|
| 1578 |
"step": 17900
|
| 1579 |
},
|
| 1580 |
{
|
| 1581 |
"epoch": 34.0,
|
| 1582 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1583 |
+
"eval_loss": 10.070154190063477,
|
| 1584 |
+
"eval_runtime": 4.8384,
|
| 1585 |
+
"eval_samples_per_second": 103.339,
|
| 1586 |
+
"eval_steps_per_second": 13.021,
|
| 1587 |
"step": 17986
|
| 1588 |
},
|
| 1589 |
{
|
|
|
|
| 1593 |
"step": 17986
|
| 1594 |
},
|
| 1595 |
{
|
| 1596 |
+
"epoch": 34.03,
|
|
|
|
| 1597 |
"learning_rate": 0.0003,
|
| 1598 |
+
"loss": 9.9776,
|
| 1599 |
"step": 18000
|
| 1600 |
},
|
| 1601 |
{
|
| 1602 |
+
"epoch": 34.22,
|
|
|
|
| 1603 |
"learning_rate": 0.0003,
|
| 1604 |
+
"loss": 9.9784,
|
| 1605 |
"step": 18100
|
| 1606 |
},
|
| 1607 |
{
|
| 1608 |
+
"epoch": 34.4,
|
|
|
|
| 1609 |
"learning_rate": 0.0003,
|
| 1610 |
+
"loss": 9.9857,
|
| 1611 |
"step": 18200
|
| 1612 |
},
|
| 1613 |
{
|
| 1614 |
+
"epoch": 34.59,
|
|
|
|
| 1615 |
"learning_rate": 0.0003,
|
| 1616 |
+
"loss": 9.9829,
|
| 1617 |
"step": 18300
|
| 1618 |
},
|
| 1619 |
{
|
| 1620 |
+
"epoch": 34.78,
|
|
|
|
| 1621 |
"learning_rate": 0.0003,
|
| 1622 |
+
"loss": 9.934,
|
| 1623 |
"step": 18400
|
| 1624 |
},
|
| 1625 |
{
|
| 1626 |
+
"epoch": 34.97,
|
|
|
|
| 1627 |
"learning_rate": 0.0003,
|
| 1628 |
+
"loss": 9.995,
|
| 1629 |
"step": 18500
|
| 1630 |
},
|
| 1631 |
{
|
| 1632 |
"epoch": 35.0,
|
| 1633 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1634 |
+
"eval_loss": 10.070154190063477,
|
| 1635 |
+
"eval_runtime": 4.1123,
|
| 1636 |
+
"eval_samples_per_second": 121.588,
|
| 1637 |
+
"eval_steps_per_second": 15.32,
|
| 1638 |
"step": 18515
|
| 1639 |
},
|
| 1640 |
{
|
|
|
|
| 1644 |
"step": 18515
|
| 1645 |
},
|
| 1646 |
{
|
| 1647 |
+
"epoch": 35.16,
|
|
|
|
| 1648 |
"learning_rate": 0.0003,
|
| 1649 |
+
"loss": 9.971,
|
| 1650 |
"step": 18600
|
| 1651 |
},
|
| 1652 |
{
|
| 1653 |
+
"epoch": 35.35,
|
|
|
|
| 1654 |
"learning_rate": 0.0003,
|
| 1655 |
+
"loss": 9.9863,
|
| 1656 |
"step": 18700
|
| 1657 |
},
|
| 1658 |
{
|
| 1659 |
+
"epoch": 35.54,
|
|
|
|
| 1660 |
"learning_rate": 0.0003,
|
| 1661 |
+
"loss": 9.9406,
|
| 1662 |
"step": 18800
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
+
"epoch": 35.73,
|
|
|
|
| 1666 |
"learning_rate": 0.0003,
|
| 1667 |
+
"loss": 9.975,
|
| 1668 |
"step": 18900
|
| 1669 |
},
|
| 1670 |
{
|
| 1671 |
+
"epoch": 35.92,
|
|
|
|
| 1672 |
"learning_rate": 0.0003,
|
| 1673 |
+
"loss": 9.974,
|
| 1674 |
"step": 19000
|
| 1675 |
},
|
| 1676 |
{
|
| 1677 |
"epoch": 36.0,
|
| 1678 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1679 |
+
"eval_loss": 10.070154190063477,
|
| 1680 |
+
"eval_runtime": 4.1083,
|
| 1681 |
+
"eval_samples_per_second": 121.704,
|
| 1682 |
+
"eval_steps_per_second": 15.335,
|
| 1683 |
"step": 19044
|
| 1684 |
},
|
| 1685 |
{
|
|
|
|
| 1689 |
"step": 19044
|
| 1690 |
},
|
| 1691 |
{
|
| 1692 |
+
"epoch": 36.11,
|
|
|
|
| 1693 |
"learning_rate": 0.0003,
|
| 1694 |
+
"loss": 9.971,
|
| 1695 |
"step": 19100
|
| 1696 |
},
|
| 1697 |
{
|
| 1698 |
+
"epoch": 36.29,
|
|
|
|
| 1699 |
"learning_rate": 0.0003,
|
| 1700 |
+
"loss": 9.9764,
|
| 1701 |
"step": 19200
|
| 1702 |
},
|
| 1703 |
{
|
| 1704 |
+
"epoch": 36.48,
|
|
|
|
| 1705 |
"learning_rate": 0.0003,
|
| 1706 |
+
"loss": 9.9772,
|
| 1707 |
"step": 19300
|
| 1708 |
},
|
| 1709 |
{
|
| 1710 |
+
"epoch": 36.67,
|
|
|
|
| 1711 |
"learning_rate": 0.0003,
|
| 1712 |
+
"loss": 9.9839,
|
| 1713 |
"step": 19400
|
| 1714 |
},
|
| 1715 |
{
|
| 1716 |
+
"epoch": 36.86,
|
|
|
|
| 1717 |
"learning_rate": 0.0003,
|
| 1718 |
+
"loss": 9.9763,
|
| 1719 |
"step": 19500
|
| 1720 |
},
|
| 1721 |
{
|
| 1722 |
"epoch": 37.0,
|
| 1723 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1724 |
+
"eval_loss": 10.070154190063477,
|
| 1725 |
+
"eval_runtime": 4.4153,
|
| 1726 |
+
"eval_samples_per_second": 113.242,
|
| 1727 |
+
"eval_steps_per_second": 14.268,
|
| 1728 |
"step": 19573
|
| 1729 |
},
|
| 1730 |
{
|
|
|
|
| 1734 |
"step": 19573
|
| 1735 |
},
|
| 1736 |
{
|
| 1737 |
+
"epoch": 37.05,
|
|
|
|
| 1738 |
"learning_rate": 0.0003,
|
| 1739 |
+
"loss": 9.9581,
|
| 1740 |
"step": 19600
|
| 1741 |
},
|
| 1742 |
{
|
| 1743 |
+
"epoch": 37.24,
|
|
|
|
| 1744 |
"learning_rate": 0.0003,
|
| 1745 |
+
"loss": 9.9644,
|
| 1746 |
"step": 19700
|
| 1747 |
},
|
| 1748 |
{
|
| 1749 |
+
"epoch": 37.43,
|
|
|
|
| 1750 |
"learning_rate": 0.0003,
|
| 1751 |
+
"loss": 9.9574,
|
| 1752 |
"step": 19800
|
| 1753 |
},
|
| 1754 |
{
|
| 1755 |
+
"epoch": 37.62,
|
|
|
|
| 1756 |
"learning_rate": 0.0003,
|
| 1757 |
+
"loss": 9.9701,
|
| 1758 |
"step": 19900
|
| 1759 |
},
|
| 1760 |
{
|
| 1761 |
+
"epoch": 37.81,
|
|
|
|
| 1762 |
"learning_rate": 0.0003,
|
| 1763 |
+
"loss": 9.9767,
|
| 1764 |
"step": 20000
|
| 1765 |
},
|
| 1766 |
{
|
| 1767 |
+
"epoch": 38.0,
|
|
|
|
| 1768 |
"learning_rate": 0.0003,
|
| 1769 |
+
"loss": 9.991,
|
| 1770 |
"step": 20100
|
| 1771 |
},
|
| 1772 |
{
|
| 1773 |
"epoch": 38.0,
|
| 1774 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1775 |
+
"eval_loss": 10.070154190063477,
|
| 1776 |
+
"eval_runtime": 4.2237,
|
| 1777 |
+
"eval_samples_per_second": 118.379,
|
| 1778 |
+
"eval_steps_per_second": 14.916,
|
| 1779 |
"step": 20102
|
| 1780 |
},
|
| 1781 |
{
|
|
|
|
| 1785 |
"step": 20102
|
| 1786 |
},
|
| 1787 |
{
|
| 1788 |
+
"epoch": 38.19,
|
|
|
|
| 1789 |
"learning_rate": 0.0003,
|
| 1790 |
+
"loss": 9.9591,
|
| 1791 |
"step": 20200
|
| 1792 |
},
|
| 1793 |
{
|
| 1794 |
+
"epoch": 38.37,
|
|
|
|
| 1795 |
"learning_rate": 0.0003,
|
| 1796 |
+
"loss": 9.964,
|
| 1797 |
"step": 20300
|
| 1798 |
},
|
| 1799 |
{
|
| 1800 |
+
"epoch": 38.56,
|
|
|
|
| 1801 |
"learning_rate": 0.0003,
|
| 1802 |
+
"loss": 9.992,
|
| 1803 |
"step": 20400
|
| 1804 |
},
|
| 1805 |
{
|
| 1806 |
+
"epoch": 38.75,
|
|
|
|
| 1807 |
"learning_rate": 0.0003,
|
| 1808 |
+
"loss": 9.9869,
|
| 1809 |
"step": 20500
|
| 1810 |
},
|
| 1811 |
{
|
| 1812 |
+
"epoch": 38.94,
|
|
|
|
| 1813 |
"learning_rate": 0.0003,
|
| 1814 |
+
"loss": 9.9502,
|
| 1815 |
"step": 20600
|
| 1816 |
},
|
| 1817 |
{
|
| 1818 |
"epoch": 39.0,
|
| 1819 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1820 |
+
"eval_loss": 10.070154190063477,
|
| 1821 |
+
"eval_runtime": 4.1088,
|
| 1822 |
+
"eval_samples_per_second": 121.689,
|
| 1823 |
+
"eval_steps_per_second": 15.333,
|
| 1824 |
"step": 20631
|
| 1825 |
},
|
| 1826 |
{
|
|
|
|
| 1830 |
"step": 20631
|
| 1831 |
},
|
| 1832 |
{
|
| 1833 |
+
"epoch": 39.13,
|
|
|
|
| 1834 |
"learning_rate": 0.0003,
|
| 1835 |
+
"loss": 9.9774,
|
| 1836 |
"step": 20700
|
| 1837 |
},
|
| 1838 |
{
|
| 1839 |
+
"epoch": 39.32,
|
|
|
|
| 1840 |
"learning_rate": 0.0003,
|
| 1841 |
+
"loss": 9.9854,
|
| 1842 |
"step": 20800
|
| 1843 |
},
|
| 1844 |
{
|
| 1845 |
+
"epoch": 39.51,
|
|
|
|
| 1846 |
"learning_rate": 0.0003,
|
| 1847 |
+
"loss": 9.9607,
|
| 1848 |
"step": 20900
|
| 1849 |
},
|
| 1850 |
{
|
| 1851 |
+
"epoch": 39.7,
|
|
|
|
| 1852 |
"learning_rate": 0.0003,
|
| 1853 |
+
"loss": 9.9909,
|
| 1854 |
"step": 21000
|
| 1855 |
},
|
| 1856 |
{
|
| 1857 |
+
"epoch": 39.89,
|
|
|
|
| 1858 |
"learning_rate": 0.0003,
|
| 1859 |
+
"loss": 9.9284,
|
| 1860 |
"step": 21100
|
| 1861 |
},
|
| 1862 |
{
|
| 1863 |
"epoch": 40.0,
|
| 1864 |
+
"eval_accuracy": 0.16923076923076924,
|
| 1865 |
+
"eval_loss": 10.070154190063477,
|
| 1866 |
+
"eval_runtime": 4.8469,
|
| 1867 |
+
"eval_samples_per_second": 103.159,
|
| 1868 |
+
"eval_steps_per_second": 12.998,
|
| 1869 |
"step": 21160
|
| 1870 |
},
|
| 1871 |
{
|
|
|
|
| 1875 |
"step": 21160
|
| 1876 |
},
|
| 1877 |
{
|
| 1878 |
+
"epoch": 40.08,
|
|
|
|
| 1879 |
"learning_rate": 0.0003,
|
| 1880 |
+
"loss": 9.9392,
|
| 1881 |
"step": 21200
|
| 1882 |
},
|
| 1883 |
{
|
| 1884 |
+
"epoch": 40.26,
|
|
|
|
| 1885 |
"learning_rate": 0.0003,
|
| 1886 |
+
"loss": 12.1685,
|
| 1887 |
"step": 21300
|
| 1888 |
},
|
| 1889 |
{
|
| 1890 |
+
"epoch": 40.45,
|
|
|
|
| 1891 |
"learning_rate": 0.0003,
|
| 1892 |
+
"loss": 12.8032,
|
| 1893 |
"step": 21400
|
| 1894 |
},
|
| 1895 |
{
|
| 1896 |
+
"epoch": 40.64,
|
|
|
|
| 1897 |
"learning_rate": 0.0003,
|
| 1898 |
+
"loss": 12.8059,
|
| 1899 |
"step": 21500
|
| 1900 |
},
|
| 1901 |
{
|
| 1902 |
+
"epoch": 40.83,
|
|
|
|
| 1903 |
"learning_rate": 0.0003,
|
| 1904 |
+
"loss": 12.7665,
|
| 1905 |
"step": 21600
|
| 1906 |
},
|
| 1907 |
{
|
| 1908 |
"epoch": 41.0,
|
| 1909 |
+
"eval_accuracy": 0.1747179487179487,
|
| 1910 |
+
"eval_loss": 9.648183822631836,
|
| 1911 |
+
"eval_runtime": 4.2093,
|
| 1912 |
+
"eval_samples_per_second": 118.786,
|
| 1913 |
+
"eval_steps_per_second": 14.967,
|
| 1914 |
"step": 21689
|
| 1915 |
},
|
| 1916 |
{
|
|
|
|
| 1920 |
"step": 21689
|
| 1921 |
},
|
| 1922 |
{
|
| 1923 |
+
"epoch": 41.02,
|
|
|
|
| 1924 |
"learning_rate": 0.0003,
|
| 1925 |
+
"loss": 12.7799,
|
| 1926 |
"step": 21700
|
| 1927 |
},
|
| 1928 |
{
|
| 1929 |
+
"epoch": 41.21,
|
|
|
|
| 1930 |
"learning_rate": 0.0003,
|
| 1931 |
+
"loss": 12.7614,
|
| 1932 |
"step": 21800
|
| 1933 |
},
|
| 1934 |
{
|
| 1935 |
+
"epoch": 41.4,
|
|
|
|
| 1936 |
"learning_rate": 0.0003,
|
| 1937 |
+
"loss": 12.7521,
|
| 1938 |
"step": 21900
|
| 1939 |
},
|
| 1940 |
{
|
| 1941 |
+
"epoch": 41.59,
|
|
|
|
| 1942 |
"learning_rate": 0.0003,
|
| 1943 |
+
"loss": 12.8113,
|
| 1944 |
"step": 22000
|
| 1945 |
},
|
| 1946 |
{
|
| 1947 |
+
"epoch": 41.78,
|
|
|
|
| 1948 |
"learning_rate": 0.0003,
|
| 1949 |
+
"loss": 12.7967,
|
| 1950 |
"step": 22100
|
| 1951 |
},
|
| 1952 |
{
|
| 1953 |
+
"epoch": 41.97,
|
|
|
|
| 1954 |
"learning_rate": 0.0003,
|
| 1955 |
+
"loss": 1855.3142,
|
| 1956 |
"step": 22200
|
| 1957 |
},
|
| 1958 |
{
|
| 1959 |
"epoch": 42.0,
|
| 1960 |
+
"eval_accuracy": 0.16841025641025642,
|
| 1961 |
"eval_loss": NaN,
|
| 1962 |
+
"eval_runtime": 4.2121,
|
| 1963 |
+
"eval_samples_per_second": 118.705,
|
| 1964 |
+
"eval_steps_per_second": 14.957,
|
| 1965 |
"step": 22218
|
| 1966 |
},
|
| 1967 |
{
|
|
|
|
| 1971 |
"step": 22218
|
| 1972 |
},
|
| 1973 |
{
|
| 1974 |
+
"epoch": 42.16,
|
|
|
|
| 1975 |
"learning_rate": 0.0003,
|
| 1976 |
"loss": 0.0,
|
| 1977 |
"step": 22300
|
| 1978 |
},
|
| 1979 |
{
|
| 1980 |
+
"epoch": 42.34,
|
|
|
|
| 1981 |
"learning_rate": 0.0003,
|
| 1982 |
"loss": 0.0,
|
| 1983 |
"step": 22400
|
| 1984 |
},
|
| 1985 |
{
|
| 1986 |
+
"epoch": 42.53,
|
|
|
|
| 1987 |
"learning_rate": 0.0003,
|
| 1988 |
"loss": 0.0,
|
| 1989 |
"step": 22500
|
| 1990 |
},
|
| 1991 |
{
|
| 1992 |
+
"epoch": 42.72,
|
|
|
|
| 1993 |
"learning_rate": 0.0003,
|
| 1994 |
"loss": 0.0,
|
| 1995 |
"step": 22600
|
| 1996 |
},
|
| 1997 |
{
|
| 1998 |
+
"epoch": 42.91,
|
|
|
|
| 1999 |
"learning_rate": 0.0003,
|
| 2000 |
"loss": 0.0,
|
| 2001 |
"step": 22700
|
| 2002 |
},
|
| 2003 |
{
|
| 2004 |
"epoch": 43.0,
|
| 2005 |
+
"eval_accuracy": 0.16841025641025642,
|
| 2006 |
"eval_loss": NaN,
|
| 2007 |
+
"eval_runtime": 4.4075,
|
| 2008 |
+
"eval_samples_per_second": 113.442,
|
| 2009 |
+
"eval_steps_per_second": 14.294,
|
| 2010 |
"step": 22747
|
| 2011 |
},
|
| 2012 |
{
|
|
|
|
| 2016 |
"step": 22747
|
| 2017 |
},
|
| 2018 |
{
|
| 2019 |
+
"epoch": 43.1,
|
|
|
|
| 2020 |
"learning_rate": 0.0003,
|
| 2021 |
"loss": 0.0,
|
| 2022 |
"step": 22800
|
| 2023 |
},
|
| 2024 |
{
|
| 2025 |
+
"epoch": 43.29,
|
|
|
|
| 2026 |
"learning_rate": 0.0003,
|
| 2027 |
"loss": 0.0,
|
| 2028 |
"step": 22900
|
| 2029 |
},
|
| 2030 |
{
|
| 2031 |
+
"epoch": 43.48,
|
|
|
|
| 2032 |
"learning_rate": 0.0003,
|
| 2033 |
"loss": 0.0,
|
| 2034 |
"step": 23000
|
| 2035 |
},
|
| 2036 |
{
|
| 2037 |
+
"epoch": 43.67,
|
|
|
|
| 2038 |
"learning_rate": 0.0003,
|
| 2039 |
"loss": 0.0,
|
| 2040 |
"step": 23100
|
| 2041 |
},
|
| 2042 |
{
|
| 2043 |
+
"epoch": 43.86,
|
|
|
|
| 2044 |
"learning_rate": 0.0003,
|
| 2045 |
"loss": 0.0,
|
| 2046 |
"step": 23200
|
| 2047 |
},
|
| 2048 |
{
|
| 2049 |
"epoch": 44.0,
|
| 2050 |
+
"eval_accuracy": 0.16841025641025642,
|
| 2051 |
"eval_loss": NaN,
|
| 2052 |
+
"eval_runtime": 4.4141,
|
| 2053 |
+
"eval_samples_per_second": 113.275,
|
| 2054 |
+
"eval_steps_per_second": 14.273,
|
| 2055 |
"step": 23276
|
| 2056 |
},
|
| 2057 |
{
|
|
|
|
| 2061 |
"step": 23276
|
| 2062 |
},
|
| 2063 |
{
|
| 2064 |
+
"epoch": 44.05,
|
|
|
|
| 2065 |
"learning_rate": 0.0003,
|
| 2066 |
"loss": 0.0,
|
| 2067 |
"step": 23300
|
| 2068 |
},
|
| 2069 |
{
|
| 2070 |
+
"epoch": 44.23,
|
|
|
|
| 2071 |
"learning_rate": 0.0003,
|
| 2072 |
"loss": 0.0,
|
| 2073 |
"step": 23400
|
| 2074 |
},
|
| 2075 |
{
|
| 2076 |
+
"epoch": 44.42,
|
|
|
|
| 2077 |
"learning_rate": 0.0003,
|
| 2078 |
"loss": 0.0,
|
| 2079 |
"step": 23500
|
| 2080 |
},
|
| 2081 |
{
|
| 2082 |
+
"epoch": 44.61,
|
|
|
|
| 2083 |
"learning_rate": 0.0003,
|
| 2084 |
"loss": 0.0,
|
| 2085 |
"step": 23600
|
| 2086 |
},
|
| 2087 |
{
|
| 2088 |
+
"epoch": 44.8,
|
|
|
|
| 2089 |
"learning_rate": 0.0003,
|
| 2090 |
"loss": 0.0,
|
| 2091 |
"step": 23700
|
| 2092 |
},
|
| 2093 |
{
|
| 2094 |
+
"epoch": 44.99,
|
|
|
|
| 2095 |
"learning_rate": 0.0003,
|
| 2096 |
"loss": 0.0,
|
| 2097 |
"step": 23800
|
| 2098 |
},
|
| 2099 |
{
|
| 2100 |
"epoch": 45.0,
|
| 2101 |
+
"eval_accuracy": 0.16841025641025642,
|
| 2102 |
"eval_loss": NaN,
|
| 2103 |
+
"eval_runtime": 4.1029,
|
| 2104 |
+
"eval_samples_per_second": 121.864,
|
| 2105 |
+
"eval_steps_per_second": 15.355,
|
| 2106 |
"step": 23805
|
| 2107 |
},
|
| 2108 |
{
|
|
|
|
| 2112 |
"step": 23805
|
| 2113 |
},
|
| 2114 |
{
|
| 2115 |
+
"epoch": 45.18,
|
|
|
|
| 2116 |
"learning_rate": 0.0003,
|
| 2117 |
"loss": 0.0,
|
| 2118 |
"step": 23900
|
| 2119 |
},
|
| 2120 |
{
|
| 2121 |
+
"epoch": 45.37,
|
|
|
|
| 2122 |
"learning_rate": 0.0003,
|
| 2123 |
"loss": 0.0,
|
| 2124 |
"step": 24000
|
| 2125 |
},
|
| 2126 |
{
|
| 2127 |
+
"epoch": 45.56,
|
|
|
|
| 2128 |
"learning_rate": 0.0003,
|
| 2129 |
"loss": 0.0,
|
| 2130 |
"step": 24100
|
| 2131 |
},
|
| 2132 |
{
|
| 2133 |
+
"epoch": 45.75,
|
|
|
|
| 2134 |
"learning_rate": 0.0003,
|
| 2135 |
"loss": 0.0,
|
| 2136 |
"step": 24200
|
| 2137 |
},
|
| 2138 |
{
|
| 2139 |
+
"epoch": 45.94,
|
|
|
|
| 2140 |
"learning_rate": 0.0003,
|
| 2141 |
"loss": 0.0,
|
| 2142 |
"step": 24300
|
| 2143 |
},
|
| 2144 |
{
|
| 2145 |
"epoch": 46.0,
|
| 2146 |
+
"eval_accuracy": 0.16841025641025642,
|
| 2147 |
"eval_loss": NaN,
|
| 2148 |
+
"eval_runtime": 4.8192,
|
| 2149 |
+
"eval_samples_per_second": 103.752,
|
| 2150 |
+
"eval_steps_per_second": 13.073,
|
| 2151 |
"step": 24334
|
| 2152 |
},
|
| 2153 |
{
|
|
|
|
| 2159 |
],
|
| 2160 |
"logging_steps": 100,
|
| 2161 |
"max_steps": 26450,
|
|
|
|
| 2162 |
"num_train_epochs": 50,
|
| 2163 |
"save_steps": 500,
|
| 2164 |
+
"total_flos": 4.109005532184969e+18,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2165 |
"trial_name": null,
|
| 2166 |
"trial_params": null
|
| 2167 |
}
|
checkpoint-24334/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b59ca157797b57867ac15a1da8ca60d782441a1506bb7cb43703c7748b856900
|
| 3 |
+
size 4728
|