Commit
·
461ffb6
1
Parent(s):
940b328
huggingartists
Browse files- README.md +4 -4
- config.json +1 -1
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +2 -2
- pytorch_model.bin +2 -2
- rng_state.pth +2 -2
- scheduler.pt +2 -2
- special_tokens_map.json +1 -5
- tokenizer_config.json +1 -10
- trainer_state.json +219 -1937
- training_args.bin +2 -2
README.md
CHANGED
|
@@ -14,7 +14,7 @@ widget:
|
|
| 14 |
<div class="inline-flex flex-col" style="line-height: 1.5;">
|
| 15 |
<div class="flex">
|
| 16 |
<div
|
| 17 |
-
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/
|
| 18 |
</div>
|
| 19 |
</div>
|
| 20 |
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
|
|
@@ -45,15 +45,15 @@ from datasets import load_dataset
|
|
| 45 |
dataset = load_dataset("huggingartists/drake")
|
| 46 |
```
|
| 47 |
|
| 48 |
-
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/
|
| 49 |
|
| 50 |
## Training procedure
|
| 51 |
|
| 52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Drake's lyrics.
|
| 53 |
|
| 54 |
-
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/
|
| 55 |
|
| 56 |
-
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/
|
| 57 |
|
| 58 |
## How to use
|
| 59 |
|
|
|
|
| 14 |
<div class="inline-flex flex-col" style="line-height: 1.5;">
|
| 15 |
<div class="flex">
|
| 16 |
<div
|
| 17 |
+
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/26104e61a238b70abfbad57be3de4359.1000x1000x1.jpg')">
|
| 18 |
</div>
|
| 19 |
</div>
|
| 20 |
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
|
|
|
|
| 45 |
dataset = load_dataset("huggingartists/drake")
|
| 46 |
```
|
| 47 |
|
| 48 |
+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/l3lz2q80/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
|
| 49 |
|
| 50 |
## Training procedure
|
| 51 |
|
| 52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Drake's lyrics.
|
| 53 |
|
| 54 |
+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/033yz8al) for full transparency and reproducibility.
|
| 55 |
|
| 56 |
+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/033yz8al/artifacts) is logged and versioned.
|
| 57 |
|
| 58 |
## How to use
|
| 59 |
|
config.json
CHANGED
|
@@ -37,7 +37,7 @@
|
|
| 37 |
}
|
| 38 |
},
|
| 39 |
"torch_dtype": "float32",
|
| 40 |
-
"transformers_version": "4.
|
| 41 |
"use_cache": true,
|
| 42 |
"vocab_size": 50257
|
| 43 |
}
|
|
|
|
| 37 |
}
|
| 38 |
},
|
| 39 |
"torch_dtype": "float32",
|
| 40 |
+
"transformers_version": "4.19.2",
|
| 41 |
"use_cache": true,
|
| 42 |
"vocab_size": 50257
|
| 43 |
}
|
evaluation.txt
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"eval_loss": 2.
|
|
|
|
| 1 |
+
{"eval_loss": 2.7749314308166504, "eval_runtime": 12.0228, "eval_samples_per_second": 46.245, "eval_steps_per_second": 5.822, "epoch": 10.0}
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497764120
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9fef0a464f99ffa656aeba8703a8c9c59eb2598c171629983c040906e1c7766e
|
| 3 |
size 497764120
|
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:b19382944fed5bf94169b751f9f2c761e6a940ec4935733346ccf367d095b91b
|
| 3 |
+
size 995605189
|
pytorch_model.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 sha256:68fb146089842dc107f59abde1a42cdaf31e4dfeccb19badbb328f55885d55b3
|
| 3 |
+
size 510398013
|
rng_state.pth
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 sha256:71d12daffdff29f561a8ac5d4847e7c787fe37a041bca46606a130ed3e1f9c06
|
| 3 |
+
size 14639
|
scheduler.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 sha256:92d4c5d94f9a5a9ecc46479b626d88e73d0320a365a30f0a14c82026b0b9f86e
|
| 3 |
+
size 627
|
special_tokens_map.json
CHANGED
|
@@ -1,5 +1 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": "<|endoftext|>",
|
| 3 |
-
"eos_token": "<|endoftext|>",
|
| 4 |
-
"unk_token": "<|endoftext|>"
|
| 5 |
-
}
|
|
|
|
| 1 |
+
{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
|
|
|
|
|
|
|
|
|
|
|
|
tokenizer_config.json
CHANGED
|
@@ -1,10 +1 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
-
"bos_token": "<|endoftext|>",
|
| 4 |
-
"eos_token": "<|endoftext|>",
|
| 5 |
-
"model_max_length": 1024,
|
| 6 |
-
"name_or_path": "huggingartists/drake",
|
| 7 |
-
"special_tokens_map_file": null,
|
| 8 |
-
"tokenizer_class": "GPT2Tokenizer",
|
| 9 |
-
"unk_token": "<|endoftext|>"
|
| 10 |
-
}
|
|
|
|
| 1 |
+
{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "huggingartists/drake", "special_tokens_map_file": null, "tokenizer_class": "GPT2Tokenizer"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
trainer_state.json
CHANGED
|
@@ -1,2162 +1,444 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 2.
|
| 3 |
-
"best_model_checkpoint": "output/drake/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.01,
|
| 12 |
-
"learning_rate": 0.
|
| 13 |
-
"loss":
|
| 14 |
"step": 5
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.03,
|
| 18 |
-
"learning_rate": 0.
|
| 19 |
-
"loss":
|
| 20 |
"step": 10
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.04,
|
| 24 |
-
"learning_rate": 0.
|
| 25 |
-
"loss":
|
| 26 |
"step": 15
|
| 27 |
},
|
| 28 |
{
|
| 29 |
-
"epoch": 0.
|
| 30 |
-
"learning_rate": 0.
|
| 31 |
-
"loss":
|
| 32 |
"step": 20
|
| 33 |
},
|
| 34 |
{
|
| 35 |
-
"epoch": 0.
|
| 36 |
-
"learning_rate": 0.
|
| 37 |
-
"loss":
|
| 38 |
"step": 25
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch": 0.
|
| 42 |
-
"learning_rate": 0.
|
| 43 |
-
"loss":
|
| 44 |
"step": 30
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch": 0.
|
| 48 |
-
"learning_rate": 0.
|
| 49 |
-
"loss":
|
| 50 |
"step": 35
|
| 51 |
},
|
| 52 |
{
|
| 53 |
-
"epoch": 0.
|
| 54 |
-
"learning_rate": 0.
|
| 55 |
-
"loss":
|
| 56 |
"step": 40
|
| 57 |
},
|
| 58 |
{
|
| 59 |
-
"epoch": 0.
|
| 60 |
-
"learning_rate": 0.
|
| 61 |
-
"loss":
|
| 62 |
"step": 45
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"epoch": 0.
|
| 66 |
-
"learning_rate": 0.
|
| 67 |
-
"loss":
|
| 68 |
"step": 50
|
| 69 |
},
|
| 70 |
{
|
| 71 |
-
"epoch": 0.
|
| 72 |
-
"learning_rate": 0.
|
| 73 |
-
"loss":
|
| 74 |
"step": 55
|
| 75 |
},
|
| 76 |
{
|
| 77 |
-
"epoch": 0.
|
| 78 |
-
"learning_rate": 0.
|
| 79 |
-
"loss":
|
| 80 |
"step": 60
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 0.
|
| 84 |
-
"learning_rate": 0.
|
| 85 |
-
"loss":
|
| 86 |
"step": 65
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"learning_rate": 0.
|
| 91 |
-
"loss":
|
| 92 |
"step": 70
|
| 93 |
},
|
| 94 |
{
|
| 95 |
-
"epoch": 0.
|
| 96 |
-
"learning_rate": 0.
|
| 97 |
-
"loss":
|
| 98 |
"step": 75
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch": 0.
|
| 102 |
-
"learning_rate": 0.
|
| 103 |
-
"loss":
|
| 104 |
"step": 80
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"epoch": 0.
|
| 108 |
-
"learning_rate": 0.
|
| 109 |
-
"loss":
|
| 110 |
"step": 85
|
| 111 |
},
|
| 112 |
{
|
| 113 |
-
"epoch": 0.
|
| 114 |
-
"learning_rate": 0.
|
| 115 |
-
"loss":
|
| 116 |
"step": 90
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch": 0.
|
| 120 |
-
"learning_rate": 0.
|
| 121 |
-
"loss":
|
| 122 |
"step": 95
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch": 0.
|
| 126 |
-
"learning_rate": 0.
|
| 127 |
-
"loss":
|
| 128 |
"step": 100
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch": 0.
|
| 132 |
-
"learning_rate": 0.
|
| 133 |
-
"loss":
|
| 134 |
"step": 105
|
| 135 |
},
|
| 136 |
{
|
| 137 |
-
"epoch": 0.
|
| 138 |
-
"learning_rate": 0.
|
| 139 |
-
"loss":
|
| 140 |
"step": 110
|
| 141 |
},
|
| 142 |
{
|
| 143 |
-
"epoch": 0.
|
| 144 |
-
"learning_rate": 0.
|
| 145 |
-
"loss":
|
| 146 |
"step": 115
|
| 147 |
},
|
| 148 |
{
|
| 149 |
-
"epoch": 0.
|
| 150 |
-
"learning_rate": 0.
|
| 151 |
-
"loss":
|
| 152 |
"step": 120
|
| 153 |
},
|
| 154 |
{
|
| 155 |
-
"epoch": 0.
|
| 156 |
-
"learning_rate":
|
| 157 |
-
"loss":
|
| 158 |
"step": 125
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch": 0.
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss":
|
| 164 |
"step": 130
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch": 0.
|
| 168 |
-
"learning_rate": 9.
|
| 169 |
-
"loss":
|
| 170 |
"step": 135
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch": 0.
|
| 174 |
-
"learning_rate": 9.
|
| 175 |
-
"loss":
|
| 176 |
"step": 140
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch": 0.
|
| 180 |
-
"learning_rate":
|
| 181 |
-
"loss":
|
| 182 |
"step": 145
|
| 183 |
},
|
| 184 |
{
|
| 185 |
-
"epoch": 0.
|
| 186 |
-
"learning_rate":
|
| 187 |
-
"loss":
|
| 188 |
"step": 150
|
| 189 |
},
|
| 190 |
{
|
| 191 |
-
"epoch": 0.
|
| 192 |
-
"learning_rate": 8.
|
| 193 |
-
"loss":
|
| 194 |
"step": 155
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch": 0.
|
| 198 |
-
"learning_rate":
|
| 199 |
-
"loss":
|
| 200 |
"step": 160
|
| 201 |
},
|
| 202 |
{
|
| 203 |
-
"epoch": 0.
|
| 204 |
-
"learning_rate":
|
| 205 |
-
"loss":
|
| 206 |
"step": 165
|
| 207 |
},
|
| 208 |
{
|
| 209 |
-
"epoch": 0.
|
| 210 |
-
"learning_rate":
|
| 211 |
-
"loss":
|
| 212 |
"step": 170
|
| 213 |
},
|
| 214 |
{
|
| 215 |
-
"epoch": 0.
|
| 216 |
-
"learning_rate":
|
| 217 |
-
"loss":
|
| 218 |
"step": 175
|
| 219 |
},
|
| 220 |
{
|
| 221 |
-
"epoch": 0.
|
| 222 |
-
"learning_rate":
|
| 223 |
-
"loss":
|
| 224 |
"step": 180
|
| 225 |
},
|
| 226 |
{
|
| 227 |
-
"epoch": 0.
|
| 228 |
-
"learning_rate":
|
| 229 |
-
"loss":
|
| 230 |
"step": 185
|
| 231 |
},
|
| 232 |
{
|
| 233 |
-
"epoch": 0.
|
| 234 |
-
"learning_rate":
|
| 235 |
-
"loss":
|
| 236 |
"step": 190
|
| 237 |
},
|
| 238 |
{
|
| 239 |
-
"epoch": 0.
|
| 240 |
-
"learning_rate":
|
| 241 |
-
"loss":
|
| 242 |
"step": 195
|
| 243 |
},
|
| 244 |
{
|
| 245 |
-
"epoch": 0.
|
| 246 |
-
"learning_rate":
|
| 247 |
-
"loss":
|
| 248 |
"step": 200
|
| 249 |
},
|
| 250 |
{
|
| 251 |
-
"epoch": 0.
|
| 252 |
-
"learning_rate":
|
| 253 |
-
"loss":
|
| 254 |
"step": 205
|
| 255 |
},
|
| 256 |
{
|
| 257 |
-
"epoch": 0.
|
| 258 |
-
"learning_rate":
|
| 259 |
-
"loss":
|
| 260 |
"step": 210
|
| 261 |
},
|
| 262 |
{
|
| 263 |
-
"epoch": 0.
|
| 264 |
-
"learning_rate":
|
| 265 |
-
"loss":
|
| 266 |
"step": 215
|
| 267 |
},
|
| 268 |
{
|
| 269 |
-
"epoch": 0.
|
| 270 |
-
"learning_rate":
|
| 271 |
-
"loss":
|
| 272 |
"step": 220
|
| 273 |
},
|
| 274 |
{
|
| 275 |
-
"epoch": 0.
|
| 276 |
-
"learning_rate":
|
| 277 |
-
"loss":
|
| 278 |
"step": 225
|
| 279 |
},
|
| 280 |
{
|
| 281 |
-
"epoch": 0.
|
| 282 |
-
"learning_rate":
|
| 283 |
-
"loss":
|
| 284 |
"step": 230
|
| 285 |
},
|
| 286 |
{
|
| 287 |
-
"epoch": 0.
|
| 288 |
-
"learning_rate":
|
| 289 |
-
"loss":
|
| 290 |
"step": 235
|
| 291 |
},
|
| 292 |
{
|
| 293 |
-
"epoch": 0.
|
| 294 |
-
"learning_rate":
|
| 295 |
-
"loss":
|
| 296 |
"step": 240
|
| 297 |
},
|
| 298 |
{
|
| 299 |
-
"epoch": 0.
|
| 300 |
-
"learning_rate":
|
| 301 |
-
"loss":
|
| 302 |
"step": 245
|
| 303 |
},
|
| 304 |
{
|
| 305 |
-
"epoch": 0.
|
| 306 |
-
"learning_rate":
|
| 307 |
-
"loss":
|
| 308 |
"step": 250
|
| 309 |
},
|
| 310 |
{
|
| 311 |
-
"epoch": 0.
|
| 312 |
-
"learning_rate":
|
| 313 |
-
"loss":
|
| 314 |
"step": 255
|
| 315 |
},
|
| 316 |
{
|
| 317 |
-
"epoch": 0.
|
| 318 |
-
"learning_rate":
|
| 319 |
-
"loss":
|
| 320 |
"step": 260
|
| 321 |
},
|
| 322 |
{
|
| 323 |
-
"epoch": 0.
|
| 324 |
-
"learning_rate":
|
| 325 |
-
"loss":
|
| 326 |
"step": 265
|
| 327 |
},
|
| 328 |
{
|
| 329 |
-
"epoch": 0.
|
| 330 |
-
"learning_rate":
|
| 331 |
-
"loss":
|
| 332 |
"step": 270
|
| 333 |
},
|
| 334 |
{
|
| 335 |
-
"epoch": 0.
|
| 336 |
-
"learning_rate":
|
| 337 |
-
"loss":
|
| 338 |
"step": 275
|
| 339 |
},
|
| 340 |
{
|
| 341 |
-
"epoch": 0.
|
| 342 |
-
"learning_rate":
|
| 343 |
-
"loss":
|
| 344 |
"step": 280
|
| 345 |
},
|
| 346 |
{
|
| 347 |
-
"epoch": 0.
|
| 348 |
-
"learning_rate":
|
| 349 |
-
"loss":
|
| 350 |
"step": 285
|
| 351 |
},
|
| 352 |
{
|
| 353 |
-
"epoch": 0.
|
| 354 |
-
"learning_rate":
|
| 355 |
-
"loss":
|
| 356 |
"step": 290
|
| 357 |
},
|
| 358 |
{
|
| 359 |
-
"epoch": 0.
|
| 360 |
-
"learning_rate":
|
| 361 |
-
"loss":
|
| 362 |
"step": 295
|
| 363 |
},
|
| 364 |
{
|
| 365 |
-
"epoch": 0.
|
| 366 |
-
"learning_rate":
|
| 367 |
-
"loss":
|
| 368 |
"step": 300
|
| 369 |
},
|
| 370 |
{
|
| 371 |
-
"epoch": 0.
|
| 372 |
-
"learning_rate":
|
| 373 |
-
"loss":
|
| 374 |
"step": 305
|
| 375 |
},
|
| 376 |
{
|
| 377 |
-
"epoch": 0.
|
| 378 |
-
"learning_rate":
|
| 379 |
-
"loss":
|
| 380 |
"step": 310
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 0.
|
| 384 |
-
"learning_rate":
|
| 385 |
-
"loss":
|
| 386 |
"step": 315
|
| 387 |
},
|
| 388 |
{
|
| 389 |
-
"epoch": 0.
|
| 390 |
-
"learning_rate":
|
| 391 |
-
"loss":
|
| 392 |
"step": 320
|
| 393 |
},
|
| 394 |
{
|
| 395 |
-
"epoch": 0.
|
| 396 |
-
"learning_rate":
|
| 397 |
-
"loss":
|
| 398 |
"step": 325
|
| 399 |
},
|
| 400 |
{
|
| 401 |
-
"epoch": 0.
|
| 402 |
-
"learning_rate":
|
| 403 |
-
"loss":
|
| 404 |
"step": 330
|
| 405 |
},
|
| 406 |
{
|
| 407 |
-
"epoch": 0.
|
| 408 |
-
"learning_rate":
|
| 409 |
-
"loss":
|
| 410 |
"step": 335
|
| 411 |
},
|
| 412 |
{
|
| 413 |
-
"epoch": 0.
|
| 414 |
-
"learning_rate":
|
| 415 |
-
"loss":
|
| 416 |
"step": 340
|
| 417 |
},
|
| 418 |
{
|
| 419 |
-
"epoch": 0.
|
| 420 |
-
"learning_rate":
|
| 421 |
-
"loss":
|
| 422 |
"step": 345
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"epoch": 0
|
| 426 |
-
"learning_rate": 2.
|
| 427 |
-
"loss":
|
| 428 |
"step": 350
|
| 429 |
},
|
| 430 |
-
{
|
| 431 |
-
"epoch": 0.92,
|
| 432 |
-
"learning_rate": 2.171888792417796e-06,
|
| 433 |
-
"loss": 3.576,
|
| 434 |
-
"step": 355
|
| 435 |
-
},
|
| 436 |
-
{
|
| 437 |
-
"epoch": 0.93,
|
| 438 |
-
"learning_rate": 1.5301878538942795e-06,
|
| 439 |
-
"loss": 3.2583,
|
| 440 |
-
"step": 360
|
| 441 |
-
},
|
| 442 |
-
{
|
| 443 |
-
"epoch": 0.95,
|
| 444 |
-
"learning_rate": 9.995404281699138e-07,
|
| 445 |
-
"loss": 3.5956,
|
| 446 |
-
"step": 365
|
| 447 |
-
},
|
| 448 |
-
{
|
| 449 |
-
"epoch": 0.96,
|
| 450 |
-
"learning_rate": 5.808251558551173e-07,
|
| 451 |
-
"loss": 3.7098,
|
| 452 |
-
"step": 370
|
| 453 |
-
},
|
| 454 |
-
{
|
| 455 |
-
"epoch": 0.97,
|
| 456 |
-
"learning_rate": 2.7473534143910847e-07,
|
| 457 |
-
"loss": 3.3973,
|
| 458 |
-
"step": 375
|
| 459 |
-
},
|
| 460 |
-
{
|
| 461 |
-
"epoch": 0.98,
|
| 462 |
-
"learning_rate": 8.177780532344056e-08,
|
| 463 |
-
"loss": 3.3842,
|
| 464 |
-
"step": 380
|
| 465 |
-
},
|
| 466 |
{
|
| 467 |
"epoch": 1.0,
|
| 468 |
-
"
|
| 469 |
-
"
|
| 470 |
-
"
|
| 471 |
-
|
| 472 |
-
|
| 473 |
-
"epoch": 1.18,
|
| 474 |
-
"learning_rate": 1.0890007647780969e-05,
|
| 475 |
-
"loss": 3.2655,
|
| 476 |
-
"step": 390
|
| 477 |
-
},
|
| 478 |
-
{
|
| 479 |
-
"epoch": 1.2,
|
| 480 |
-
"learning_rate": 1.2720089689346961e-05,
|
| 481 |
-
"loss": 3.1689,
|
| 482 |
-
"step": 395
|
| 483 |
-
},
|
| 484 |
-
{
|
| 485 |
-
"epoch": 1.21,
|
| 486 |
-
"learning_rate": 1.4676757700644785e-05,
|
| 487 |
-
"loss": 3.15,
|
| 488 |
-
"step": 400
|
| 489 |
-
},
|
| 490 |
-
{
|
| 491 |
-
"epoch": 1.23,
|
| 492 |
-
"learning_rate": 1.6755579199297876e-05,
|
| 493 |
-
"loss": 3.3109,
|
| 494 |
-
"step": 405
|
| 495 |
-
},
|
| 496 |
-
{
|
| 497 |
-
"epoch": 1.24,
|
| 498 |
-
"learning_rate": 1.8951844985992176e-05,
|
| 499 |
-
"loss": 3.3557,
|
| 500 |
-
"step": 410
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 1.26,
|
| 504 |
-
"learning_rate": 2.1260579812327114e-05,
|
| 505 |
-
"loss": 3.2466,
|
| 506 |
-
"step": 415
|
| 507 |
-
},
|
| 508 |
-
{
|
| 509 |
-
"epoch": 1.27,
|
| 510 |
-
"learning_rate": 2.3676553651353433e-05,
|
| 511 |
-
"loss": 3.4927,
|
| 512 |
-
"step": 420
|
| 513 |
-
},
|
| 514 |
-
{
|
| 515 |
-
"epoch": 1.29,
|
| 516 |
-
"learning_rate": 2.6194293545266464e-05,
|
| 517 |
-
"loss": 3.5059,
|
| 518 |
-
"step": 425
|
| 519 |
-
},
|
| 520 |
-
{
|
| 521 |
-
"epoch": 1.3,
|
| 522 |
-
"learning_rate": 2.8808096003415798e-05,
|
| 523 |
-
"loss": 3.3394,
|
| 524 |
-
"step": 430
|
| 525 |
-
},
|
| 526 |
-
{
|
| 527 |
-
"epoch": 1.32,
|
| 528 |
-
"learning_rate": 3.151203992254596e-05,
|
| 529 |
-
"loss": 2.9776,
|
| 530 |
-
"step": 435
|
| 531 |
-
},
|
| 532 |
-
{
|
| 533 |
-
"epoch": 1.33,
|
| 534 |
-
"learning_rate": 3.429999999999997e-05,
|
| 535 |
-
"loss": 3.1045,
|
| 536 |
-
"step": 440
|
| 537 |
-
},
|
| 538 |
-
{
|
| 539 |
-
"epoch": 1.35,
|
| 540 |
-
"learning_rate": 3.716566060949963e-05,
|
| 541 |
-
"loss": 3.3412,
|
| 542 |
-
"step": 445
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 1.36,
|
| 546 |
-
"learning_rate": 4.0102530108070535e-05,
|
| 547 |
-
"loss": 3.3821,
|
| 548 |
-
"step": 450
|
| 549 |
-
},
|
| 550 |
-
{
|
| 551 |
-
"epoch": 1.38,
|
| 552 |
-
"learning_rate": 4.3103955541701554e-05,
|
| 553 |
-
"loss": 3.2771,
|
| 554 |
-
"step": 455
|
| 555 |
-
},
|
| 556 |
-
{
|
| 557 |
-
"epoch": 1.39,
|
| 558 |
-
"learning_rate": 4.6163137716424864e-05,
|
| 559 |
-
"loss": 3.2889,
|
| 560 |
-
"step": 460
|
| 561 |
-
},
|
| 562 |
-
{
|
| 563 |
-
"epoch": 1.41,
|
| 564 |
-
"learning_rate": 4.927314660067792e-05,
|
| 565 |
-
"loss": 3.1803,
|
| 566 |
-
"step": 465
|
| 567 |
-
},
|
| 568 |
-
{
|
| 569 |
-
"epoch": 1.42,
|
| 570 |
-
"learning_rate": 5.242693702405331e-05,
|
| 571 |
-
"loss": 3.3752,
|
| 572 |
-
"step": 470
|
| 573 |
-
},
|
| 574 |
-
{
|
| 575 |
-
"epoch": 1.44,
|
| 576 |
-
"learning_rate": 5.561736463687583e-05,
|
| 577 |
-
"loss": 3.4172,
|
| 578 |
-
"step": 475
|
| 579 |
-
},
|
| 580 |
-
{
|
| 581 |
-
"epoch": 1.45,
|
| 582 |
-
"learning_rate": 5.883720209445263e-05,
|
| 583 |
-
"loss": 3.1247,
|
| 584 |
-
"step": 480
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 1.47,
|
| 588 |
-
"learning_rate": 6.207915542933309e-05,
|
| 589 |
-
"loss": 3.1979,
|
| 590 |
-
"step": 485
|
| 591 |
-
},
|
| 592 |
-
{
|
| 593 |
-
"epoch": 1.48,
|
| 594 |
-
"learning_rate": 6.533588057449125e-05,
|
| 595 |
-
"loss": 3.2403,
|
| 596 |
-
"step": 490
|
| 597 |
-
},
|
| 598 |
-
{
|
| 599 |
-
"epoch": 1.5,
|
| 600 |
-
"learning_rate": 6.859999999999999e-05,
|
| 601 |
-
"loss": 3.3824,
|
| 602 |
-
"step": 495
|
| 603 |
-
},
|
| 604 |
-
{
|
| 605 |
-
"epoch": 1.52,
|
| 606 |
-
"learning_rate": 7.186411942550872e-05,
|
| 607 |
-
"loss": 3.2565,
|
| 608 |
-
"step": 500
|
| 609 |
-
},
|
| 610 |
-
{
|
| 611 |
-
"epoch": 1.53,
|
| 612 |
-
"learning_rate": 7.512084457066689e-05,
|
| 613 |
-
"loss": 3.1016,
|
| 614 |
-
"step": 505
|
| 615 |
-
},
|
| 616 |
-
{
|
| 617 |
-
"epoch": 1.55,
|
| 618 |
-
"learning_rate": 7.836279790554734e-05,
|
| 619 |
-
"loss": 3.4194,
|
| 620 |
-
"step": 510
|
| 621 |
-
},
|
| 622 |
-
{
|
| 623 |
-
"epoch": 1.56,
|
| 624 |
-
"learning_rate": 8.158263536312414e-05,
|
| 625 |
-
"loss": 3.1877,
|
| 626 |
-
"step": 515
|
| 627 |
-
},
|
| 628 |
-
{
|
| 629 |
-
"epoch": 1.58,
|
| 630 |
-
"learning_rate": 8.477306297594667e-05,
|
| 631 |
-
"loss": 3.4791,
|
| 632 |
-
"step": 520
|
| 633 |
-
},
|
| 634 |
-
{
|
| 635 |
-
"epoch": 1.59,
|
| 636 |
-
"learning_rate": 8.792685339932205e-05,
|
| 637 |
-
"loss": 3.2052,
|
| 638 |
-
"step": 525
|
| 639 |
-
},
|
| 640 |
-
{
|
| 641 |
-
"epoch": 1.61,
|
| 642 |
-
"learning_rate": 9.103686228357512e-05,
|
| 643 |
-
"loss": 3.4702,
|
| 644 |
-
"step": 530
|
| 645 |
-
},
|
| 646 |
-
{
|
| 647 |
-
"epoch": 1.62,
|
| 648 |
-
"learning_rate": 9.409604445829843e-05,
|
| 649 |
-
"loss": 3.152,
|
| 650 |
-
"step": 535
|
| 651 |
-
},
|
| 652 |
-
{
|
| 653 |
-
"epoch": 1.64,
|
| 654 |
-
"learning_rate": 9.709746989192944e-05,
|
| 655 |
-
"loss": 3.2925,
|
| 656 |
-
"step": 540
|
| 657 |
-
},
|
| 658 |
-
{
|
| 659 |
-
"epoch": 1.65,
|
| 660 |
-
"learning_rate": 0.00010003433939050033,
|
| 661 |
-
"loss": 3.2007,
|
| 662 |
-
"step": 545
|
| 663 |
-
},
|
| 664 |
-
{
|
| 665 |
-
"epoch": 1.67,
|
| 666 |
-
"learning_rate": 0.00010290000000000001,
|
| 667 |
-
"loss": 3.444,
|
| 668 |
-
"step": 550
|
| 669 |
-
},
|
| 670 |
-
{
|
| 671 |
-
"epoch": 1.68,
|
| 672 |
-
"learning_rate": 0.00010568796007745401,
|
| 673 |
-
"loss": 3.227,
|
| 674 |
-
"step": 555
|
| 675 |
-
},
|
| 676 |
-
{
|
| 677 |
-
"epoch": 1.7,
|
| 678 |
-
"learning_rate": 0.00010839190399658417,
|
| 679 |
-
"loss": 3.133,
|
| 680 |
-
"step": 560
|
| 681 |
-
},
|
| 682 |
-
{
|
| 683 |
-
"epoch": 1.71,
|
| 684 |
-
"learning_rate": 0.00011100570645473351,
|
| 685 |
-
"loss": 3.1161,
|
| 686 |
-
"step": 565
|
| 687 |
-
},
|
| 688 |
-
{
|
| 689 |
-
"epoch": 1.73,
|
| 690 |
-
"learning_rate": 0.00011352344634864656,
|
| 691 |
-
"loss": 3.2043,
|
| 692 |
-
"step": 570
|
| 693 |
-
},
|
| 694 |
-
{
|
| 695 |
-
"epoch": 1.74,
|
| 696 |
-
"learning_rate": 0.00011593942018767285,
|
| 697 |
-
"loss": 3.265,
|
| 698 |
-
"step": 575
|
| 699 |
-
},
|
| 700 |
-
{
|
| 701 |
-
"epoch": 1.76,
|
| 702 |
-
"learning_rate": 0.00011824815501400781,
|
| 703 |
-
"loss": 3.3016,
|
| 704 |
-
"step": 580
|
| 705 |
-
},
|
| 706 |
-
{
|
| 707 |
-
"epoch": 1.77,
|
| 708 |
-
"learning_rate": 0.00012044442080070208,
|
| 709 |
-
"loss": 3.3944,
|
| 710 |
-
"step": 585
|
| 711 |
-
},
|
| 712 |
-
{
|
| 713 |
-
"epoch": 1.79,
|
| 714 |
-
"learning_rate": 0.0001225232422993552,
|
| 715 |
-
"loss": 3.4325,
|
| 716 |
-
"step": 590
|
| 717 |
-
},
|
| 718 |
-
{
|
| 719 |
-
"epoch": 1.8,
|
| 720 |
-
"learning_rate": 0.00012447991031065301,
|
| 721 |
-
"loss": 3.3161,
|
| 722 |
-
"step": 595
|
| 723 |
-
},
|
| 724 |
-
{
|
| 725 |
-
"epoch": 1.82,
|
| 726 |
-
"learning_rate": 0.000126309992352219,
|
| 727 |
-
"loss": 3.2818,
|
| 728 |
-
"step": 600
|
| 729 |
-
},
|
| 730 |
-
{
|
| 731 |
-
"epoch": 1.83,
|
| 732 |
-
"learning_rate": 0.00012800934269961248,
|
| 733 |
-
"loss": 3.2362,
|
| 734 |
-
"step": 605
|
| 735 |
-
},
|
| 736 |
-
{
|
| 737 |
-
"epoch": 1.85,
|
| 738 |
-
"learning_rate": 0.00012957411177772773,
|
| 739 |
-
"loss": 3.1107,
|
| 740 |
-
"step": 610
|
| 741 |
-
},
|
| 742 |
-
{
|
| 743 |
-
"epoch": 1.86,
|
| 744 |
-
"learning_rate": 0.00013100075488131993,
|
| 745 |
-
"loss": 3.2821,
|
| 746 |
-
"step": 615
|
| 747 |
-
},
|
| 748 |
-
{
|
| 749 |
-
"epoch": 1.88,
|
| 750 |
-
"learning_rate": 0.00013228604020490257,
|
| 751 |
-
"loss": 3.3709,
|
| 752 |
-
"step": 620
|
| 753 |
-
},
|
| 754 |
-
{
|
| 755 |
-
"epoch": 1.89,
|
| 756 |
-
"learning_rate": 0.00013342705616382626,
|
| 757 |
-
"loss": 3.3293,
|
| 758 |
-
"step": 625
|
| 759 |
-
},
|
| 760 |
-
{
|
| 761 |
-
"epoch": 1.91,
|
| 762 |
-
"learning_rate": 0.00013442121798995453,
|
| 763 |
-
"loss": 3.5064,
|
| 764 |
-
"step": 630
|
| 765 |
-
},
|
| 766 |
-
{
|
| 767 |
-
"epoch": 1.92,
|
| 768 |
-
"learning_rate": 0.00013526627358699495,
|
| 769 |
-
"loss": 3.2024,
|
| 770 |
-
"step": 635
|
| 771 |
-
},
|
| 772 |
-
{
|
| 773 |
-
"epoch": 1.94,
|
| 774 |
-
"learning_rate": 0.00013596030863222166,
|
| 775 |
-
"loss": 3.378,
|
| 776 |
-
"step": 640
|
| 777 |
-
},
|
| 778 |
-
{
|
| 779 |
-
"epoch": 1.95,
|
| 780 |
-
"learning_rate": 0.000136501750913032,
|
| 781 |
-
"loss": 3.215,
|
| 782 |
-
"step": 645
|
| 783 |
-
},
|
| 784 |
-
{
|
| 785 |
-
"epoch": 1.97,
|
| 786 |
-
"learning_rate": 0.0001368893738885136,
|
| 787 |
-
"loss": 3.2645,
|
| 788 |
-
"step": 650
|
| 789 |
-
},
|
| 790 |
-
{
|
| 791 |
-
"epoch": 1.98,
|
| 792 |
-
"learning_rate": 0.00013712229946795436,
|
| 793 |
-
"loss": 3.2699,
|
| 794 |
-
"step": 655
|
| 795 |
-
},
|
| 796 |
-
{
|
| 797 |
-
"epoch": 2.0,
|
| 798 |
-
"learning_rate": 0.0001372,
|
| 799 |
-
"loss": 2.9558,
|
| 800 |
-
"step": 660
|
| 801 |
-
},
|
| 802 |
-
{
|
| 803 |
-
"epoch": 2.0,
|
| 804 |
-
"eval_loss": 3.1339056491851807,
|
| 805 |
-
"eval_runtime": 9.8661,
|
| 806 |
-
"eval_samples_per_second": 45.611,
|
| 807 |
-
"eval_steps_per_second": 5.777,
|
| 808 |
-
"step": 660
|
| 809 |
-
},
|
| 810 |
-
{
|
| 811 |
-
"epoch": 2.03,
|
| 812 |
-
"learning_rate": 0.0001369452804670866,
|
| 813 |
-
"loss": 2.8801,
|
| 814 |
-
"step": 665
|
| 815 |
-
},
|
| 816 |
-
{
|
| 817 |
-
"epoch": 2.04,
|
| 818 |
-
"learning_rate": 0.00013658418337916058,
|
| 819 |
-
"loss": 3.0411,
|
| 820 |
-
"step": 670
|
| 821 |
-
},
|
| 822 |
-
{
|
| 823 |
-
"epoch": 2.06,
|
| 824 |
-
"learning_rate": 0.00013606719676147636,
|
| 825 |
-
"loss": 3.1263,
|
| 826 |
-
"step": 675
|
| 827 |
-
},
|
| 828 |
-
{
|
| 829 |
-
"epoch": 2.07,
|
| 830 |
-
"learning_rate": 0.00013539550607801564,
|
| 831 |
-
"loss": 3.2868,
|
| 832 |
-
"step": 680
|
| 833 |
-
},
|
| 834 |
-
{
|
| 835 |
-
"epoch": 2.09,
|
| 836 |
-
"learning_rate": 0.00013457065153327282,
|
| 837 |
-
"loss": 3.0776,
|
| 838 |
-
"step": 685
|
| 839 |
-
},
|
| 840 |
-
{
|
| 841 |
-
"epoch": 2.1,
|
| 842 |
-
"learning_rate": 0.00013359452454052534,
|
| 843 |
-
"loss": 3.1467,
|
| 844 |
-
"step": 690
|
| 845 |
-
},
|
| 846 |
-
{
|
| 847 |
-
"epoch": 2.12,
|
| 848 |
-
"learning_rate": 0.00013246936338477295,
|
| 849 |
-
"loss": 2.9318,
|
| 850 |
-
"step": 695
|
| 851 |
-
},
|
| 852 |
-
{
|
| 853 |
-
"epoch": 2.13,
|
| 854 |
-
"learning_rate": 0.00013119774809029134,
|
| 855 |
-
"loss": 3.2317,
|
| 856 |
-
"step": 700
|
| 857 |
-
},
|
| 858 |
-
{
|
| 859 |
-
"epoch": 2.15,
|
| 860 |
-
"learning_rate": 0.00012978259450456783,
|
| 861 |
-
"loss": 2.9684,
|
| 862 |
-
"step": 705
|
| 863 |
-
},
|
| 864 |
-
{
|
| 865 |
-
"epoch": 2.16,
|
| 866 |
-
"learning_rate": 0.0001282271476121864,
|
| 867 |
-
"loss": 3.2684,
|
| 868 |
-
"step": 710
|
| 869 |
-
},
|
| 870 |
-
{
|
| 871 |
-
"epoch": 2.18,
|
| 872 |
-
"learning_rate": 0.0001265349740939919,
|
| 873 |
-
"loss": 3.1091,
|
| 874 |
-
"step": 715
|
| 875 |
-
},
|
| 876 |
-
{
|
| 877 |
-
"epoch": 2.2,
|
| 878 |
-
"learning_rate": 0.00012470995414859683,
|
| 879 |
-
"loss": 3.0846,
|
| 880 |
-
"step": 720
|
| 881 |
-
},
|
| 882 |
-
{
|
| 883 |
-
"epoch": 2.21,
|
| 884 |
-
"learning_rate": 0.00012275627259498339,
|
| 885 |
-
"loss": 3.2676,
|
| 886 |
-
"step": 725
|
| 887 |
-
},
|
| 888 |
-
{
|
| 889 |
-
"epoch": 2.23,
|
| 890 |
-
"learning_rate": 0.00012067840927660262,
|
| 891 |
-
"loss": 3.1157,
|
| 892 |
-
"step": 730
|
| 893 |
-
},
|
| 894 |
-
{
|
| 895 |
-
"epoch": 2.24,
|
| 896 |
-
"learning_rate": 0.00011848112878897519,
|
| 897 |
-
"loss": 3.2578,
|
| 898 |
-
"step": 735
|
| 899 |
-
},
|
| 900 |
-
{
|
| 901 |
-
"epoch": 2.26,
|
| 902 |
-
"learning_rate": 0.00011616946955434783,
|
| 903 |
-
"loss": 3.1545,
|
| 904 |
-
"step": 740
|
| 905 |
-
},
|
| 906 |
-
{
|
| 907 |
-
"epoch": 2.27,
|
| 908 |
-
"learning_rate": 0.00011374873226845785,
|
| 909 |
-
"loss": 3.0167,
|
| 910 |
-
"step": 745
|
| 911 |
-
},
|
| 912 |
-
{
|
| 913 |
-
"epoch": 2.29,
|
| 914 |
-
"learning_rate": 0.00011122446774589795,
|
| 915 |
-
"loss": 3.3236,
|
| 916 |
-
"step": 750
|
| 917 |
-
},
|
| 918 |
-
{
|
| 919 |
-
"epoch": 2.3,
|
| 920 |
-
"learning_rate": 0.00010860246419195128,
|
| 921 |
-
"loss": 3.0855,
|
| 922 |
-
"step": 755
|
| 923 |
-
},
|
| 924 |
-
{
|
| 925 |
-
"epoch": 2.32,
|
| 926 |
-
"learning_rate": 0.00010588873393008382,
|
| 927 |
-
"loss": 3.1622,
|
| 928 |
-
"step": 760
|
| 929 |
-
},
|
| 930 |
-
{
|
| 931 |
-
"epoch": 2.33,
|
| 932 |
-
"learning_rate": 0.00010308949961552774,
|
| 933 |
-
"loss": 3.1558,
|
| 934 |
-
"step": 765
|
| 935 |
-
},
|
| 936 |
-
{
|
| 937 |
-
"epoch": 2.35,
|
| 938 |
-
"learning_rate": 0.0001002111799665686,
|
| 939 |
-
"loss": 3.1256,
|
| 940 |
-
"step": 770
|
| 941 |
-
},
|
| 942 |
-
{
|
| 943 |
-
"epoch": 2.36,
|
| 944 |
-
"learning_rate": 9.726037504625446e-05,
|
| 945 |
-
"loss": 3.0624,
|
| 946 |
-
"step": 775
|
| 947 |
-
},
|
| 948 |
-
{
|
| 949 |
-
"epoch": 2.38,
|
| 950 |
-
"learning_rate": 9.424385112827677e-05,
|
| 951 |
-
"loss": 3.127,
|
| 952 |
-
"step": 780
|
| 953 |
-
},
|
| 954 |
-
{
|
| 955 |
-
"epoch": 2.39,
|
| 956 |
-
"learning_rate": 9.1168525181726e-05,
|
| 957 |
-
"loss": 3.2459,
|
| 958 |
-
"step": 785
|
| 959 |
-
},
|
| 960 |
-
{
|
| 961 |
-
"epoch": 2.41,
|
| 962 |
-
"learning_rate": 8.80414490102987e-05,
|
| 963 |
-
"loss": 3.2356,
|
| 964 |
-
"step": 790
|
| 965 |
-
},
|
| 966 |
-
{
|
| 967 |
-
"epoch": 2.42,
|
| 968 |
-
"learning_rate": 8.486979308232529e-05,
|
| 969 |
-
"loss": 3.1039,
|
| 970 |
-
"step": 795
|
| 971 |
-
},
|
| 972 |
-
{
|
| 973 |
-
"epoch": 2.44,
|
| 974 |
-
"learning_rate": 8.16608300886963e-05,
|
| 975 |
-
"loss": 3.1498,
|
| 976 |
-
"step": 800
|
| 977 |
-
},
|
| 978 |
-
{
|
| 979 |
-
"epoch": 2.45,
|
| 980 |
-
"learning_rate": 7.842191826639015e-05,
|
| 981 |
-
"loss": 3.2395,
|
| 982 |
-
"step": 805
|
| 983 |
-
},
|
| 984 |
-
{
|
| 985 |
-
"epoch": 2.47,
|
| 986 |
-
"learning_rate": 7.516048452584106e-05,
|
| 987 |
-
"loss": 3.0791,
|
| 988 |
-
"step": 810
|
| 989 |
-
},
|
| 990 |
-
{
|
| 991 |
-
"epoch": 2.48,
|
| 992 |
-
"learning_rate": 7.18840074208375e-05,
|
| 993 |
-
"loss": 2.9722,
|
| 994 |
-
"step": 815
|
| 995 |
-
},
|
| 996 |
-
{
|
| 997 |
-
"epoch": 2.5,
|
| 998 |
-
"learning_rate": 6.860000000000001e-05,
|
| 999 |
-
"loss": 3.0485,
|
| 1000 |
-
"step": 820
|
| 1001 |
-
},
|
| 1002 |
-
{
|
| 1003 |
-
"epoch": 2.52,
|
| 1004 |
-
"learning_rate": 6.531599257916255e-05,
|
| 1005 |
-
"loss": 3.26,
|
| 1006 |
-
"step": 825
|
| 1007 |
-
},
|
| 1008 |
-
{
|
| 1009 |
-
"epoch": 2.53,
|
| 1010 |
-
"learning_rate": 6.203951547415898e-05,
|
| 1011 |
-
"loss": 3.0569,
|
| 1012 |
-
"step": 830
|
| 1013 |
-
},
|
| 1014 |
-
{
|
| 1015 |
-
"epoch": 2.55,
|
| 1016 |
-
"learning_rate": 5.877808173360989e-05,
|
| 1017 |
-
"loss": 3.0239,
|
| 1018 |
-
"step": 835
|
| 1019 |
-
},
|
| 1020 |
-
{
|
| 1021 |
-
"epoch": 2.56,
|
| 1022 |
-
"learning_rate": 5.553916991130374e-05,
|
| 1023 |
-
"loss": 3.1443,
|
| 1024 |
-
"step": 840
|
| 1025 |
-
},
|
| 1026 |
-
{
|
| 1027 |
-
"epoch": 2.58,
|
| 1028 |
-
"learning_rate": 5.2330206917674755e-05,
|
| 1029 |
-
"loss": 3.1212,
|
| 1030 |
-
"step": 845
|
| 1031 |
-
},
|
| 1032 |
-
{
|
| 1033 |
-
"epoch": 2.59,
|
| 1034 |
-
"learning_rate": 4.915855098970134e-05,
|
| 1035 |
-
"loss": 2.8549,
|
| 1036 |
-
"step": 850
|
| 1037 |
-
},
|
| 1038 |
-
{
|
| 1039 |
-
"epoch": 2.61,
|
| 1040 |
-
"learning_rate": 4.603147481827398e-05,
|
| 1041 |
-
"loss": 2.9992,
|
| 1042 |
-
"step": 855
|
| 1043 |
-
},
|
| 1044 |
-
{
|
| 1045 |
-
"epoch": 2.62,
|
| 1046 |
-
"learning_rate": 4.2956148871723224e-05,
|
| 1047 |
-
"loss": 2.8552,
|
| 1048 |
-
"step": 860
|
| 1049 |
-
},
|
| 1050 |
-
{
|
| 1051 |
-
"epoch": 2.64,
|
| 1052 |
-
"learning_rate": 3.9939624953745524e-05,
|
| 1053 |
-
"loss": 3.0432,
|
| 1054 |
-
"step": 865
|
| 1055 |
-
},
|
| 1056 |
-
{
|
| 1057 |
-
"epoch": 2.65,
|
| 1058 |
-
"learning_rate": 3.698882003343138e-05,
|
| 1059 |
-
"loss": 3.028,
|
| 1060 |
-
"step": 870
|
| 1061 |
-
},
|
| 1062 |
-
{
|
| 1063 |
-
"epoch": 2.67,
|
| 1064 |
-
"learning_rate": 3.411050038447229e-05,
|
| 1065 |
-
"loss": 3.1615,
|
| 1066 |
-
"step": 875
|
| 1067 |
-
},
|
| 1068 |
-
{
|
| 1069 |
-
"epoch": 2.68,
|
| 1070 |
-
"learning_rate": 3.131126606991618e-05,
|
| 1071 |
-
"loss": 3.1442,
|
| 1072 |
-
"step": 880
|
| 1073 |
-
},
|
| 1074 |
-
{
|
| 1075 |
-
"epoch": 2.7,
|
| 1076 |
-
"learning_rate": 2.8597535808048707e-05,
|
| 1077 |
-
"loss": 3.0388,
|
| 1078 |
-
"step": 885
|
| 1079 |
-
},
|
| 1080 |
-
{
|
| 1081 |
-
"epoch": 2.71,
|
| 1082 |
-
"learning_rate": 2.5975532254102027e-05,
|
| 1083 |
-
"loss": 2.9324,
|
| 1084 |
-
"step": 890
|
| 1085 |
-
},
|
| 1086 |
-
{
|
| 1087 |
-
"epoch": 2.73,
|
| 1088 |
-
"learning_rate": 2.3451267731542143e-05,
|
| 1089 |
-
"loss": 2.9219,
|
| 1090 |
-
"step": 895
|
| 1091 |
-
},
|
| 1092 |
-
{
|
| 1093 |
-
"epoch": 2.74,
|
| 1094 |
-
"learning_rate": 2.1030530445652233e-05,
|
| 1095 |
-
"loss": 2.8783,
|
| 1096 |
-
"step": 900
|
| 1097 |
-
},
|
| 1098 |
-
{
|
| 1099 |
-
"epoch": 2.76,
|
| 1100 |
-
"learning_rate": 1.871887121102488e-05,
|
| 1101 |
-
"loss": 3.2507,
|
| 1102 |
-
"step": 905
|
| 1103 |
-
},
|
| 1104 |
-
{
|
| 1105 |
-
"epoch": 2.77,
|
| 1106 |
-
"learning_rate": 1.6521590723397454e-05,
|
| 1107 |
-
"loss": 2.969,
|
| 1108 |
-
"step": 910
|
| 1109 |
-
},
|
| 1110 |
-
{
|
| 1111 |
-
"epoch": 2.79,
|
| 1112 |
-
"learning_rate": 1.4443727405016684e-05,
|
| 1113 |
-
"loss": 2.9703,
|
| 1114 |
-
"step": 915
|
| 1115 |
-
},
|
| 1116 |
-
{
|
| 1117 |
-
"epoch": 2.8,
|
| 1118 |
-
"learning_rate": 1.249004585140324e-05,
|
| 1119 |
-
"loss": 3.105,
|
| 1120 |
-
"step": 920
|
| 1121 |
-
},
|
| 1122 |
-
{
|
| 1123 |
-
"epoch": 2.82,
|
| 1124 |
-
"learning_rate": 1.0665025906008154e-05,
|
| 1125 |
-
"loss": 3.1641,
|
| 1126 |
-
"step": 925
|
| 1127 |
-
},
|
| 1128 |
-
{
|
| 1129 |
-
"epoch": 2.84,
|
| 1130 |
-
"learning_rate": 8.97285238781366e-06,
|
| 1131 |
-
"loss": 2.9782,
|
| 1132 |
-
"step": 930
|
| 1133 |
-
},
|
| 1134 |
-
{
|
| 1135 |
-
"epoch": 2.85,
|
| 1136 |
-
"learning_rate": 7.417405495432199e-06,
|
| 1137 |
-
"loss": 3.0392,
|
| 1138 |
-
"step": 935
|
| 1139 |
-
},
|
| 1140 |
-
{
|
| 1141 |
-
"epoch": 2.87,
|
| 1142 |
-
"learning_rate": 6.002251909708709e-06,
|
| 1143 |
-
"loss": 2.962,
|
| 1144 |
-
"step": 940
|
| 1145 |
-
},
|
| 1146 |
-
{
|
| 1147 |
-
"epoch": 2.88,
|
| 1148 |
-
"learning_rate": 4.730636615227076e-06,
|
| 1149 |
-
"loss": 3.3658,
|
| 1150 |
-
"step": 945
|
| 1151 |
-
},
|
| 1152 |
-
{
|
| 1153 |
-
"epoch": 2.9,
|
| 1154 |
-
"learning_rate": 3.605475459474696e-06,
|
| 1155 |
-
"loss": 2.9995,
|
| 1156 |
-
"step": 950
|
| 1157 |
-
},
|
| 1158 |
-
{
|
| 1159 |
-
"epoch": 2.91,
|
| 1160 |
-
"learning_rate": 2.6293484667271903e-06,
|
| 1161 |
-
"loss": 3.1411,
|
| 1162 |
-
"step": 955
|
| 1163 |
-
},
|
| 1164 |
-
{
|
| 1165 |
-
"epoch": 2.93,
|
| 1166 |
-
"learning_rate": 1.8044939219843706e-06,
|
| 1167 |
-
"loss": 3.2262,
|
| 1168 |
-
"step": 960
|
| 1169 |
-
},
|
| 1170 |
-
{
|
| 1171 |
-
"epoch": 2.94,
|
| 1172 |
-
"learning_rate": 1.132803238523659e-06,
|
| 1173 |
-
"loss": 2.995,
|
| 1174 |
-
"step": 965
|
| 1175 |
-
},
|
| 1176 |
-
{
|
| 1177 |
-
"epoch": 2.96,
|
| 1178 |
-
"learning_rate": 6.158166208394294e-07,
|
| 1179 |
-
"loss": 3.1868,
|
| 1180 |
-
"step": 970
|
| 1181 |
-
},
|
| 1182 |
-
{
|
| 1183 |
-
"epoch": 2.97,
|
| 1184 |
-
"learning_rate": 2.547195329134365e-07,
|
| 1185 |
-
"loss": 3.0908,
|
| 1186 |
-
"step": 975
|
| 1187 |
-
},
|
| 1188 |
-
{
|
| 1189 |
-
"epoch": 2.99,
|
| 1190 |
-
"learning_rate": 5.033997991443411e-08,
|
| 1191 |
-
"loss": 3.0958,
|
| 1192 |
-
"step": 980
|
| 1193 |
-
},
|
| 1194 |
-
{
|
| 1195 |
-
"epoch": 3.0,
|
| 1196 |
-
"eval_loss": 3.012192964553833,
|
| 1197 |
-
"eval_runtime": 3.2423,
|
| 1198 |
-
"eval_samples_per_second": 143.415,
|
| 1199 |
-
"eval_steps_per_second": 18.197,
|
| 1200 |
-
"step": 984
|
| 1201 |
-
},
|
| 1202 |
-
{
|
| 1203 |
-
"epoch": 3.0,
|
| 1204 |
-
"learning_rate": 3.1466095605587442e-09,
|
| 1205 |
-
"loss": 3.2577,
|
| 1206 |
-
"step": 985
|
| 1207 |
-
},
|
| 1208 |
-
{
|
| 1209 |
-
"epoch": 3.02,
|
| 1210 |
-
"learning_rate": 1.1324763749765112e-07,
|
| 1211 |
-
"loss": 2.9737,
|
| 1212 |
-
"step": 990
|
| 1213 |
-
},
|
| 1214 |
-
{
|
| 1215 |
-
"epoch": 3.03,
|
| 1216 |
-
"learning_rate": 3.803905991579816e-07,
|
| 1217 |
-
"loss": 2.7524,
|
| 1218 |
-
"step": 995
|
| 1219 |
-
},
|
| 1220 |
-
{
|
| 1221 |
-
"epoch": 3.05,
|
| 1222 |
-
"learning_rate": 8.03962928668091e-07,
|
| 1223 |
-
"loss": 2.9894,
|
| 1224 |
-
"step": 1000
|
| 1225 |
-
},
|
| 1226 |
-
{
|
| 1227 |
-
"epoch": 3.06,
|
| 1228 |
-
"learning_rate": 1.382993363478614e-06,
|
| 1229 |
-
"loss": 2.8537,
|
| 1230 |
-
"step": 1005
|
| 1231 |
-
},
|
| 1232 |
-
{
|
| 1233 |
-
"epoch": 3.08,
|
| 1234 |
-
"learning_rate": 2.116154171494932e-06,
|
| 1235 |
-
"loss": 2.9448,
|
| 1236 |
-
"step": 1010
|
| 1237 |
-
},
|
| 1238 |
-
{
|
| 1239 |
-
"epoch": 3.09,
|
| 1240 |
-
"learning_rate": 3.001764195602037e-06,
|
| 1241 |
-
"loss": 2.8933,
|
| 1242 |
-
"step": 1015
|
| 1243 |
-
},
|
| 1244 |
-
{
|
| 1245 |
-
"epoch": 3.11,
|
| 1246 |
-
"learning_rate": 4.037792708602087e-06,
|
| 1247 |
-
"loss": 2.7567,
|
| 1248 |
-
"step": 1020
|
| 1249 |
-
},
|
| 1250 |
-
{
|
| 1251 |
-
"epoch": 3.12,
|
| 1252 |
-
"learning_rate": 5.22186406972573e-06,
|
| 1253 |
-
"loss": 2.8581,
|
| 1254 |
-
"step": 1025
|
| 1255 |
-
},
|
| 1256 |
-
{
|
| 1257 |
-
"epoch": 3.14,
|
| 1258 |
-
"learning_rate": 6.55126317203911e-06,
|
| 1259 |
-
"loss": 3.0563,
|
| 1260 |
-
"step": 1030
|
| 1261 |
-
},
|
| 1262 |
-
{
|
| 1263 |
-
"epoch": 3.16,
|
| 1264 |
-
"learning_rate": 8.022941668255849e-06,
|
| 1265 |
-
"loss": 3.1461,
|
| 1266 |
-
"step": 1035
|
| 1267 |
-
},
|
| 1268 |
-
{
|
| 1269 |
-
"epoch": 3.17,
|
| 1270 |
-
"learning_rate": 9.633524960678029e-06,
|
| 1271 |
-
"loss": 2.7869,
|
| 1272 |
-
"step": 1040
|
| 1273 |
-
},
|
| 1274 |
-
{
|
| 1275 |
-
"epoch": 3.19,
|
| 1276 |
-
"learning_rate": 1.1379319939237678e-05,
|
| 1277 |
-
"loss": 2.9909,
|
| 1278 |
-
"step": 1045
|
| 1279 |
-
},
|
| 1280 |
-
{
|
| 1281 |
-
"epoch": 3.2,
|
| 1282 |
-
"learning_rate": 1.3256323449896148e-05,
|
| 1283 |
-
"loss": 2.7969,
|
| 1284 |
-
"step": 1050
|
| 1285 |
-
},
|
| 1286 |
-
{
|
| 1287 |
-
"epoch": 3.22,
|
| 1288 |
-
"learning_rate": 1.526023147398194e-05,
|
| 1289 |
-
"loss": 3.0613,
|
| 1290 |
-
"step": 1055
|
| 1291 |
-
},
|
| 1292 |
-
{
|
| 1293 |
-
"epoch": 3.23,
|
| 1294 |
-
"learning_rate": 1.7386448997419335e-05,
|
| 1295 |
-
"loss": 2.9952,
|
| 1296 |
-
"step": 1060
|
| 1297 |
-
},
|
| 1298 |
-
{
|
| 1299 |
-
"epoch": 3.25,
|
| 1300 |
-
"learning_rate": 1.9630100547217162e-05,
|
| 1301 |
-
"loss": 2.8488,
|
| 1302 |
-
"step": 1065
|
| 1303 |
-
},
|
| 1304 |
-
{
|
| 1305 |
-
"epoch": 3.26,
|
| 1306 |
-
"learning_rate": 2.198604137105723e-05,
|
| 1307 |
-
"loss": 2.9286,
|
| 1308 |
-
"step": 1070
|
| 1309 |
-
},
|
| 1310 |
-
{
|
| 1311 |
-
"epoch": 3.28,
|
| 1312 |
-
"learning_rate": 2.444886923434745e-05,
|
| 1313 |
-
"loss": 2.9456,
|
| 1314 |
-
"step": 1075
|
| 1315 |
-
},
|
| 1316 |
-
{
|
| 1317 |
-
"epoch": 3.29,
|
| 1318 |
-
"learning_rate": 2.7012936807688628e-05,
|
| 1319 |
-
"loss": 2.9093,
|
| 1320 |
-
"step": 1080
|
| 1321 |
-
},
|
| 1322 |
-
{
|
| 1323 |
-
"epoch": 3.31,
|
| 1324 |
-
"learning_rate": 2.9672364616349706e-05,
|
| 1325 |
-
"loss": 2.6638,
|
| 1326 |
-
"step": 1085
|
| 1327 |
-
},
|
| 1328 |
-
{
|
| 1329 |
-
"epoch": 3.32,
|
| 1330 |
-
"learning_rate": 3.242105452205932e-05,
|
| 1331 |
-
"loss": 2.8781,
|
| 1332 |
-
"step": 1090
|
| 1333 |
-
},
|
| 1334 |
-
{
|
| 1335 |
-
"epoch": 3.34,
|
| 1336 |
-
"learning_rate": 3.5252703706197704e-05,
|
| 1337 |
-
"loss": 2.8149,
|
| 1338 |
-
"step": 1095
|
| 1339 |
-
},
|
| 1340 |
-
{
|
| 1341 |
-
"epoch": 3.35,
|
| 1342 |
-
"learning_rate": 3.816081912232647e-05,
|
| 1343 |
-
"loss": 2.9128,
|
| 1344 |
-
"step": 1100
|
| 1345 |
-
},
|
| 1346 |
-
{
|
| 1347 |
-
"epoch": 3.37,
|
| 1348 |
-
"learning_rate": 4.113873238491593e-05,
|
| 1349 |
-
"loss": 2.9003,
|
| 1350 |
-
"step": 1105
|
| 1351 |
-
},
|
| 1352 |
-
{
|
| 1353 |
-
"epoch": 3.38,
|
| 1354 |
-
"learning_rate": 4.4179615060128864e-05,
|
| 1355 |
-
"loss": 3.0516,
|
| 1356 |
-
"step": 1110
|
| 1357 |
-
},
|
| 1358 |
-
{
|
| 1359 |
-
"epoch": 3.4,
|
| 1360 |
-
"learning_rate": 4.727649432360055e-05,
|
| 1361 |
-
"loss": 2.9956,
|
| 1362 |
-
"step": 1115
|
| 1363 |
-
},
|
| 1364 |
-
{
|
| 1365 |
-
"epoch": 3.41,
|
| 1366 |
-
"learning_rate": 5.042226894930894e-05,
|
| 1367 |
-
"loss": 2.9518,
|
| 1368 |
-
"step": 1120
|
| 1369 |
-
},
|
| 1370 |
-
{
|
| 1371 |
-
"epoch": 3.43,
|
| 1372 |
-
"learning_rate": 5.3609725592873736e-05,
|
| 1373 |
-
"loss": 3.0925,
|
| 1374 |
-
"step": 1125
|
| 1375 |
-
},
|
| 1376 |
-
{
|
| 1377 |
-
"epoch": 3.45,
|
| 1378 |
-
"learning_rate": 5.68315553319459e-05,
|
| 1379 |
-
"loss": 2.9208,
|
| 1380 |
-
"step": 1130
|
| 1381 |
-
},
|
| 1382 |
-
{
|
| 1383 |
-
"epoch": 3.46,
|
| 1384 |
-
"learning_rate": 6.00803704257593e-05,
|
| 1385 |
-
"loss": 2.9595,
|
| 1386 |
-
"step": 1135
|
| 1387 |
-
},
|
| 1388 |
-
{
|
| 1389 |
-
"epoch": 3.48,
|
| 1390 |
-
"learning_rate": 6.334872125541636e-05,
|
| 1391 |
-
"loss": 2.7912,
|
| 1392 |
-
"step": 1140
|
| 1393 |
-
},
|
| 1394 |
-
{
|
| 1395 |
-
"epoch": 3.49,
|
| 1396 |
-
"learning_rate": 6.662911340606064e-05,
|
| 1397 |
-
"loss": 3.1123,
|
| 1398 |
-
"step": 1145
|
| 1399 |
-
},
|
| 1400 |
-
{
|
| 1401 |
-
"epoch": 3.51,
|
| 1402 |
-
"learning_rate": 6.991402485176834e-05,
|
| 1403 |
-
"loss": 3.0401,
|
| 1404 |
-
"step": 1150
|
| 1405 |
-
},
|
| 1406 |
-
{
|
| 1407 |
-
"epoch": 3.52,
|
| 1408 |
-
"learning_rate": 7.319592320375272e-05,
|
| 1409 |
-
"loss": 3.007,
|
| 1410 |
-
"step": 1155
|
| 1411 |
-
},
|
| 1412 |
-
{
|
| 1413 |
-
"epoch": 3.54,
|
| 1414 |
-
"learning_rate": 7.646728298233026e-05,
|
| 1415 |
-
"loss": 3.0709,
|
| 1416 |
-
"step": 1160
|
| 1417 |
-
},
|
| 1418 |
-
{
|
| 1419 |
-
"epoch": 3.55,
|
| 1420 |
-
"learning_rate": 7.97206028730452e-05,
|
| 1421 |
-
"loss": 2.8136,
|
| 1422 |
-
"step": 1165
|
| 1423 |
-
},
|
| 1424 |
-
{
|
| 1425 |
-
"epoch": 3.57,
|
| 1426 |
-
"learning_rate": 8.294842292738145e-05,
|
| 1427 |
-
"loss": 3.0615,
|
| 1428 |
-
"step": 1170
|
| 1429 |
-
},
|
| 1430 |
-
{
|
| 1431 |
-
"epoch": 3.58,
|
| 1432 |
-
"learning_rate": 8.6143341668622e-05,
|
| 1433 |
-
"loss": 2.8914,
|
| 1434 |
-
"step": 1175
|
| 1435 |
-
},
|
| 1436 |
-
{
|
| 1437 |
-
"epoch": 3.6,
|
| 1438 |
-
"learning_rate": 8.92980330636302e-05,
|
| 1439 |
-
"loss": 3.0546,
|
| 1440 |
-
"step": 1180
|
| 1441 |
-
},
|
| 1442 |
-
{
|
| 1443 |
-
"epoch": 3.61,
|
| 1444 |
-
"learning_rate": 9.240526332163816e-05,
|
| 1445 |
-
"loss": 2.7764,
|
| 1446 |
-
"step": 1185
|
| 1447 |
-
},
|
| 1448 |
-
{
|
| 1449 |
-
"epoch": 3.63,
|
| 1450 |
-
"learning_rate": 9.545790748151966e-05,
|
| 1451 |
-
"loss": 2.9967,
|
| 1452 |
-
"step": 1190
|
| 1453 |
-
},
|
| 1454 |
-
{
|
| 1455 |
-
"epoch": 3.64,
|
| 1456 |
-
"learning_rate": 9.844896574951464e-05,
|
| 1457 |
-
"loss": 2.8943,
|
| 1458 |
-
"step": 1195
|
| 1459 |
-
},
|
| 1460 |
-
{
|
| 1461 |
-
"epoch": 3.66,
|
| 1462 |
-
"learning_rate": 0.00010137157954994128,
|
| 1463 |
-
"loss": 2.7756,
|
| 1464 |
-
"step": 1200
|
| 1465 |
-
},
|
| 1466 |
-
{
|
| 1467 |
-
"epoch": 3.67,
|
| 1468 |
-
"learning_rate": 0.00010421904725209109,
|
| 1469 |
-
"loss": 2.6902,
|
| 1470 |
-
"step": 1205
|
| 1471 |
-
},
|
| 1472 |
-
{
|
| 1473 |
-
"epoch": 3.69,
|
| 1474 |
-
"learning_rate": 0.0001069848395372458,
|
| 1475 |
-
"loss": 3.0339,
|
| 1476 |
-
"step": 1210
|
| 1477 |
-
},
|
| 1478 |
-
{
|
| 1479 |
-
"epoch": 3.7,
|
| 1480 |
-
"learning_rate": 0.00010966261437057745,
|
| 1481 |
-
"loss": 2.9684,
|
| 1482 |
-
"step": 1215
|
| 1483 |
-
},
|
| 1484 |
-
{
|
| 1485 |
-
"epoch": 3.72,
|
| 1486 |
-
"learning_rate": 0.00011224623154360197,
|
| 1487 |
-
"loss": 2.993,
|
| 1488 |
-
"step": 1220
|
| 1489 |
-
},
|
| 1490 |
-
{
|
| 1491 |
-
"epoch": 3.73,
|
| 1492 |
-
"learning_rate": 0.0001147297667538396,
|
| 1493 |
-
"loss": 2.8925,
|
| 1494 |
-
"step": 1225
|
| 1495 |
-
},
|
| 1496 |
-
{
|
| 1497 |
-
"epoch": 3.75,
|
| 1498 |
-
"learning_rate": 0.0001171075251893971,
|
| 1499 |
-
"loss": 3.0326,
|
| 1500 |
-
"step": 1230
|
| 1501 |
-
},
|
| 1502 |
-
{
|
| 1503 |
-
"epoch": 3.77,
|
| 1504 |
-
"learning_rate": 0.00011937405458732195,
|
| 1505 |
-
"loss": 3.1186,
|
| 1506 |
-
"step": 1235
|
| 1507 |
-
},
|
| 1508 |
-
{
|
| 1509 |
-
"epoch": 3.78,
|
| 1510 |
-
"learning_rate": 0.00012152415773578527,
|
| 1511 |
-
"loss": 2.9294,
|
| 1512 |
-
"step": 1240
|
| 1513 |
-
},
|
| 1514 |
-
{
|
| 1515 |
-
"epoch": 3.8,
|
| 1516 |
-
"learning_rate": 0.00012355290439142633,
|
| 1517 |
-
"loss": 3.0367,
|
| 1518 |
-
"step": 1245
|
| 1519 |
-
},
|
| 1520 |
-
{
|
| 1521 |
-
"epoch": 3.81,
|
| 1522 |
-
"learning_rate": 0.0001254556425845306,
|
| 1523 |
-
"loss": 2.6842,
|
| 1524 |
-
"step": 1250
|
| 1525 |
-
},
|
| 1526 |
-
{
|
| 1527 |
-
"epoch": 3.83,
|
| 1528 |
-
"learning_rate": 0.00012722800928611938,
|
| 1529 |
-
"loss": 2.807,
|
| 1530 |
-
"step": 1255
|
| 1531 |
-
},
|
| 1532 |
-
{
|
| 1533 |
-
"epoch": 3.84,
|
| 1534 |
-
"learning_rate": 0.0001288659404124906,
|
| 1535 |
-
"loss": 2.874,
|
| 1536 |
-
"step": 1260
|
| 1537 |
-
},
|
| 1538 |
-
{
|
| 1539 |
-
"epoch": 3.86,
|
| 1540 |
-
"learning_rate": 0.00013036568014427024,
|
| 1541 |
-
"loss": 2.9999,
|
| 1542 |
-
"step": 1265
|
| 1543 |
-
},
|
| 1544 |
-
{
|
| 1545 |
-
"epoch": 3.87,
|
| 1546 |
-
"learning_rate": 0.00013172378953860524,
|
| 1547 |
-
"loss": 3.0116,
|
| 1548 |
-
"step": 1270
|
| 1549 |
-
},
|
| 1550 |
-
{
|
| 1551 |
-
"epoch": 3.89,
|
| 1552 |
-
"learning_rate": 0.00013293715441475062,
|
| 1553 |
-
"loss": 3.1574,
|
| 1554 |
-
"step": 1275
|
| 1555 |
-
},
|
| 1556 |
-
{
|
| 1557 |
-
"epoch": 3.9,
|
| 1558 |
-
"learning_rate": 0.00013400299249496822,
|
| 1559 |
-
"loss": 2.6983,
|
| 1560 |
-
"step": 1280
|
| 1561 |
-
},
|
| 1562 |
-
{
|
| 1563 |
-
"epoch": 3.92,
|
| 1564 |
-
"learning_rate": 0.0001349188597843629,
|
| 1565 |
-
"loss": 2.8115,
|
| 1566 |
-
"step": 1285
|
| 1567 |
-
},
|
| 1568 |
-
{
|
| 1569 |
-
"epoch": 3.93,
|
| 1570 |
-
"learning_rate": 0.00013568265617502779,
|
| 1571 |
-
"loss": 2.7446,
|
| 1572 |
-
"step": 1290
|
| 1573 |
-
},
|
| 1574 |
-
{
|
| 1575 |
-
"epoch": 3.95,
|
| 1576 |
-
"learning_rate": 0.0001362926302616468,
|
| 1577 |
-
"loss": 2.8728,
|
| 1578 |
-
"step": 1295
|
| 1579 |
-
},
|
| 1580 |
-
{
|
| 1581 |
-
"epoch": 3.96,
|
| 1582 |
-
"learning_rate": 0.0001367473833575137,
|
| 1583 |
-
"loss": 3.134,
|
| 1584 |
-
"step": 1300
|
| 1585 |
-
},
|
| 1586 |
-
{
|
| 1587 |
-
"epoch": 3.98,
|
| 1588 |
-
"learning_rate": 0.0001370458727017576,
|
| 1589 |
-
"loss": 2.8436,
|
| 1590 |
-
"step": 1305
|
| 1591 |
-
},
|
| 1592 |
-
{
|
| 1593 |
-
"epoch": 3.99,
|
| 1594 |
-
"learning_rate": 0.0001371874138504211,
|
| 1595 |
-
"loss": 2.901,
|
| 1596 |
-
"step": 1310
|
| 1597 |
-
},
|
| 1598 |
-
{
|
| 1599 |
-
"epoch": 4.0,
|
| 1600 |
-
"eval_loss": 3.0180249214172363,
|
| 1601 |
-
"eval_runtime": 3.2449,
|
| 1602 |
-
"eval_samples_per_second": 143.301,
|
| 1603 |
-
"eval_steps_per_second": 18.182,
|
| 1604 |
-
"step": 1312
|
| 1605 |
-
},
|
| 1606 |
-
{
|
| 1607 |
-
"epoch": 4.01,
|
| 1608 |
-
"learning_rate": 0.0001371716822459084,
|
| 1609 |
-
"loss": 2.7412,
|
| 1610 |
-
"step": 1315
|
| 1611 |
-
},
|
| 1612 |
-
{
|
| 1613 |
-
"epoch": 4.02,
|
| 1614 |
-
"learning_rate": 0.00013699871396120457,
|
| 1615 |
-
"loss": 2.5891,
|
| 1616 |
-
"step": 1320
|
| 1617 |
-
},
|
| 1618 |
-
{
|
| 1619 |
-
"epoch": 4.04,
|
| 1620 |
-
"learning_rate": 0.00013666890561715917,
|
| 1621 |
-
"loss": 3.1228,
|
| 1622 |
-
"step": 1325
|
| 1623 |
-
},
|
| 1624 |
-
{
|
| 1625 |
-
"epoch": 4.05,
|
| 1626 |
-
"learning_rate": 0.00013618301347302405,
|
| 1627 |
-
"loss": 2.9228,
|
| 1628 |
-
"step": 1330
|
| 1629 |
-
},
|
| 1630 |
-
{
|
| 1631 |
-
"epoch": 4.07,
|
| 1632 |
-
"learning_rate": 0.000135542151692331,
|
| 1633 |
-
"loss": 2.6346,
|
| 1634 |
-
"step": 1335
|
| 1635 |
-
},
|
| 1636 |
-
{
|
| 1637 |
-
"epoch": 4.09,
|
| 1638 |
-
"learning_rate": 0.0001347477897880855,
|
| 1639 |
-
"loss": 2.7065,
|
| 1640 |
-
"step": 1340
|
| 1641 |
-
},
|
| 1642 |
-
{
|
| 1643 |
-
"epoch": 4.1,
|
| 1644 |
-
"learning_rate": 0.00013380174925313403,
|
| 1645 |
-
"loss": 2.7945,
|
| 1646 |
-
"step": 1345
|
| 1647 |
-
},
|
| 1648 |
-
{
|
| 1649 |
-
"epoch": 4.12,
|
| 1650 |
-
"learning_rate": 0.00013270619938343336,
|
| 1651 |
-
"loss": 2.5638,
|
| 1652 |
-
"step": 1350
|
| 1653 |
-
},
|
| 1654 |
-
{
|
| 1655 |
-
"epoch": 4.13,
|
| 1656 |
-
"learning_rate": 0.00013146365230379744,
|
| 1657 |
-
"loss": 2.8108,
|
| 1658 |
-
"step": 1355
|
| 1659 |
-
},
|
| 1660 |
-
{
|
| 1661 |
-
"epoch": 4.15,
|
| 1662 |
-
"learning_rate": 0.0001300769572075284,
|
| 1663 |
-
"loss": 2.8114,
|
| 1664 |
-
"step": 1360
|
| 1665 |
-
},
|
| 1666 |
-
{
|
| 1667 |
-
"epoch": 4.16,
|
| 1668 |
-
"learning_rate": 0.00012854929382314167,
|
| 1669 |
-
"loss": 2.7208,
|
| 1670 |
-
"step": 1365
|
| 1671 |
-
},
|
| 1672 |
-
{
|
| 1673 |
-
"epoch": 4.18,
|
| 1674 |
-
"learning_rate": 0.0001268841651231636,
|
| 1675 |
-
"loss": 2.8124,
|
| 1676 |
-
"step": 1370
|
| 1677 |
-
},
|
| 1678 |
-
{
|
| 1679 |
-
"epoch": 4.19,
|
| 1680 |
-
"learning_rate": 0.00012508538929172376,
|
| 1681 |
-
"loss": 2.9135,
|
| 1682 |
-
"step": 1375
|
| 1683 |
-
},
|
| 1684 |
-
{
|
| 1685 |
-
"epoch": 4.21,
|
| 1686 |
-
"learning_rate": 0.0001231570909693571,
|
| 1687 |
-
"loss": 2.5881,
|
| 1688 |
-
"step": 1380
|
| 1689 |
-
},
|
| 1690 |
-
{
|
| 1691 |
-
"epoch": 4.22,
|
| 1692 |
-
"learning_rate": 0.00012110369179509431,
|
| 1693 |
-
"loss": 2.6689,
|
| 1694 |
-
"step": 1385
|
| 1695 |
-
},
|
| 1696 |
-
{
|
| 1697 |
-
"epoch": 4.24,
|
| 1698 |
-
"learning_rate": 0.00011892990026752702,
|
| 1699 |
-
"loss": 2.8313,
|
| 1700 |
-
"step": 1390
|
| 1701 |
-
},
|
| 1702 |
-
{
|
| 1703 |
-
"epoch": 4.25,
|
| 1704 |
-
"learning_rate": 0.0001166407009480955,
|
| 1705 |
-
"loss": 2.9475,
|
| 1706 |
-
"step": 1395
|
| 1707 |
-
},
|
| 1708 |
-
{
|
| 1709 |
-
"epoch": 4.27,
|
| 1710 |
-
"learning_rate": 0.0001142413430313578,
|
| 1711 |
-
"loss": 3.0502,
|
| 1712 |
-
"step": 1400
|
| 1713 |
-
},
|
| 1714 |
-
{
|
| 1715 |
-
"epoch": 4.28,
|
| 1716 |
-
"learning_rate": 0.00011173732830844787,
|
| 1717 |
-
"loss": 2.6531,
|
| 1718 |
-
"step": 1405
|
| 1719 |
-
},
|
| 1720 |
-
{
|
| 1721 |
-
"epoch": 4.3,
|
| 1722 |
-
"learning_rate": 0.00010913439855132291,
|
| 1723 |
-
"loss": 2.9528,
|
| 1724 |
-
"step": 1410
|
| 1725 |
-
},
|
| 1726 |
-
{
|
| 1727 |
-
"epoch": 4.31,
|
| 1728 |
-
"learning_rate": 0.00010643852234672852,
|
| 1729 |
-
"loss": 2.7701,
|
| 1730 |
-
"step": 1415
|
| 1731 |
-
},
|
| 1732 |
-
{
|
| 1733 |
-
"epoch": 4.33,
|
| 1734 |
-
"learning_rate": 0.00010365588141007188,
|
| 1735 |
-
"loss": 2.6251,
|
| 1736 |
-
"step": 1420
|
| 1737 |
-
},
|
| 1738 |
-
{
|
| 1739 |
-
"epoch": 4.34,
|
| 1740 |
-
"learning_rate": 0.00010079285641058387,
|
| 1741 |
-
"loss": 2.9979,
|
| 1742 |
-
"step": 1425
|
| 1743 |
-
},
|
| 1744 |
-
{
|
| 1745 |
-
"epoch": 4.36,
|
| 1746 |
-
"learning_rate": 9.785601234027734e-05,
|
| 1747 |
-
"loss": 2.807,
|
| 1748 |
-
"step": 1430
|
| 1749 |
-
},
|
| 1750 |
-
{
|
| 1751 |
-
"epoch": 4.38,
|
| 1752 |
-
"learning_rate": 9.485208346024522e-05,
|
| 1753 |
-
"loss": 2.8977,
|
| 1754 |
-
"step": 1435
|
| 1755 |
-
},
|
| 1756 |
-
{
|
| 1757 |
-
"epoch": 4.39,
|
| 1758 |
-
"learning_rate": 9.178795785882326e-05,
|
| 1759 |
-
"loss": 2.8219,
|
| 1760 |
-
"step": 1440
|
| 1761 |
-
},
|
| 1762 |
-
{
|
| 1763 |
-
"epoch": 4.41,
|
| 1764 |
-
"learning_rate": 8.867066165702077e-05,
|
| 1765 |
-
"loss": 2.6527,
|
| 1766 |
-
"step": 1445
|
| 1767 |
-
},
|
| 1768 |
-
{
|
| 1769 |
-
"epoch": 4.42,
|
| 1770 |
-
"learning_rate": 8.550734289743871e-05,
|
| 1771 |
-
"loss": 2.8599,
|
| 1772 |
-
"step": 1450
|
| 1773 |
-
},
|
| 1774 |
-
{
|
| 1775 |
-
"epoch": 4.44,
|
| 1776 |
-
"learning_rate": 8.230525515362062e-05,
|
| 1777 |
-
"loss": 2.9224,
|
| 1778 |
-
"step": 1455
|
| 1779 |
-
},
|
| 1780 |
-
{
|
| 1781 |
-
"epoch": 4.45,
|
| 1782 |
-
"learning_rate": 7.907174089741485e-05,
|
| 1783 |
-
"loss": 2.6402,
|
| 1784 |
-
"step": 1460
|
| 1785 |
-
},
|
| 1786 |
-
{
|
| 1787 |
-
"epoch": 4.47,
|
| 1788 |
-
"learning_rate": 7.581421466249422e-05,
|
| 1789 |
-
"loss": 2.658,
|
| 1790 |
-
"step": 1465
|
| 1791 |
-
},
|
| 1792 |
-
{
|
| 1793 |
-
"epoch": 4.48,
|
| 1794 |
-
"learning_rate": 7.254014604263352e-05,
|
| 1795 |
-
"loss": 2.6781,
|
| 1796 |
-
"step": 1470
|
| 1797 |
-
},
|
| 1798 |
-
{
|
| 1799 |
-
"epoch": 4.5,
|
| 1800 |
-
"learning_rate": 6.92570425637328e-05,
|
| 1801 |
-
"loss": 2.8161,
|
| 1802 |
-
"step": 1475
|
| 1803 |
-
},
|
| 1804 |
-
{
|
| 1805 |
-
"epoch": 4.51,
|
| 1806 |
-
"learning_rate": 6.597243246886372e-05,
|
| 1807 |
-
"loss": 2.7003,
|
| 1808 |
-
"step": 1480
|
| 1809 |
-
},
|
| 1810 |
-
{
|
| 1811 |
-
"epoch": 4.53,
|
| 1812 |
-
"learning_rate": 6.269384745580722e-05,
|
| 1813 |
-
"loss": 2.6335,
|
| 1814 |
-
"step": 1485
|
| 1815 |
-
},
|
| 1816 |
-
{
|
| 1817 |
-
"epoch": 4.54,
|
| 1818 |
-
"learning_rate": 5.942880540667308e-05,
|
| 1819 |
-
"loss": 2.9172,
|
| 1820 |
-
"step": 1490
|
| 1821 |
-
},
|
| 1822 |
-
{
|
| 1823 |
-
"epoch": 4.56,
|
| 1824 |
-
"learning_rate": 5.618479314919675e-05,
|
| 1825 |
-
"loss": 2.6901,
|
| 1826 |
-
"step": 1495
|
| 1827 |
-
},
|
| 1828 |
-
{
|
| 1829 |
-
"epoch": 4.57,
|
| 1830 |
-
"learning_rate": 5.2969249289244765e-05,
|
| 1831 |
-
"loss": 3.0955,
|
| 1832 |
-
"step": 1500
|
| 1833 |
-
},
|
| 1834 |
-
{
|
| 1835 |
-
"epoch": 4.59,
|
| 1836 |
-
"learning_rate": 4.978954715389626e-05,
|
| 1837 |
-
"loss": 2.8052,
|
| 1838 |
-
"step": 1505
|
| 1839 |
-
},
|
| 1840 |
-
{
|
| 1841 |
-
"epoch": 4.6,
|
| 1842 |
-
"learning_rate": 4.6652977884208274e-05,
|
| 1843 |
-
"loss": 2.5181,
|
| 1844 |
-
"step": 1510
|
| 1845 |
-
},
|
| 1846 |
-
{
|
| 1847 |
-
"epoch": 4.62,
|
| 1848 |
-
"learning_rate": 4.356673371643594e-05,
|
| 1849 |
-
"loss": 2.8346,
|
| 1850 |
-
"step": 1515
|
| 1851 |
-
},
|
| 1852 |
-
{
|
| 1853 |
-
"epoch": 4.63,
|
| 1854 |
-
"learning_rate": 4.0537891490046174e-05,
|
| 1855 |
-
"loss": 2.9267,
|
| 1856 |
-
"step": 1520
|
| 1857 |
-
},
|
| 1858 |
-
{
|
| 1859 |
-
"epoch": 4.65,
|
| 1860 |
-
"learning_rate": 3.757339642033588e-05,
|
| 1861 |
-
"loss": 2.6995,
|
| 1862 |
-
"step": 1525
|
| 1863 |
-
},
|
| 1864 |
-
{
|
| 1865 |
-
"epoch": 4.66,
|
| 1866 |
-
"learning_rate": 3.468004617287139e-05,
|
| 1867 |
-
"loss": 2.8038,
|
| 1868 |
-
"step": 1530
|
| 1869 |
-
},
|
| 1870 |
-
{
|
| 1871 |
-
"epoch": 4.68,
|
| 1872 |
-
"learning_rate": 3.1864475276260315e-05,
|
| 1873 |
-
"loss": 2.7572,
|
| 1874 |
-
"step": 1535
|
| 1875 |
-
},
|
| 1876 |
-
{
|
| 1877 |
-
"epoch": 4.7,
|
| 1878 |
-
"learning_rate": 2.9133139909002586e-05,
|
| 1879 |
-
"loss": 2.8888,
|
| 1880 |
-
"step": 1540
|
| 1881 |
-
},
|
| 1882 |
-
{
|
| 1883 |
-
"epoch": 4.71,
|
| 1884 |
-
"learning_rate": 2.6492303095302796e-05,
|
| 1885 |
-
"loss": 2.5902,
|
| 1886 |
-
"step": 1545
|
| 1887 |
-
},
|
| 1888 |
-
{
|
| 1889 |
-
"epoch": 4.73,
|
| 1890 |
-
"learning_rate": 2.3948020343789084e-05,
|
| 1891 |
-
"loss": 2.6841,
|
| 1892 |
-
"step": 1550
|
| 1893 |
-
},
|
| 1894 |
-
{
|
| 1895 |
-
"epoch": 4.74,
|
| 1896 |
-
"learning_rate": 2.1506125762073123e-05,
|
| 1897 |
-
"loss": 2.6346,
|
| 1898 |
-
"step": 1555
|
| 1899 |
-
},
|
| 1900 |
-
{
|
| 1901 |
-
"epoch": 4.76,
|
| 1902 |
-
"learning_rate": 1.917221867898604e-05,
|
| 1903 |
-
"loss": 2.574,
|
| 1904 |
-
"step": 1560
|
| 1905 |
-
},
|
| 1906 |
-
{
|
| 1907 |
-
"epoch": 4.77,
|
| 1908 |
-
"learning_rate": 1.695165080516989e-05,
|
| 1909 |
-
"loss": 2.742,
|
| 1910 |
-
"step": 1565
|
| 1911 |
-
},
|
| 1912 |
-
{
|
| 1913 |
-
"epoch": 4.79,
|
| 1914 |
-
"learning_rate": 1.4849513961463578e-05,
|
| 1915 |
-
"loss": 2.8388,
|
| 1916 |
-
"step": 1570
|
| 1917 |
-
},
|
| 1918 |
-
{
|
| 1919 |
-
"epoch": 4.8,
|
| 1920 |
-
"learning_rate": 1.2870628403223036e-05,
|
| 1921 |
-
"loss": 2.6697,
|
| 1922 |
-
"step": 1575
|
| 1923 |
-
},
|
| 1924 |
-
{
|
| 1925 |
-
"epoch": 4.82,
|
| 1926 |
-
"learning_rate": 1.101953176734824e-05,
|
| 1927 |
-
"loss": 2.7003,
|
| 1928 |
-
"step": 1580
|
| 1929 |
-
},
|
| 1930 |
-
{
|
| 1931 |
-
"epoch": 4.83,
|
| 1932 |
-
"learning_rate": 9.30046866736211e-06,
|
| 1933 |
-
"loss": 3.0252,
|
| 1934 |
-
"step": 1585
|
| 1935 |
-
},
|
| 1936 |
-
{
|
| 1937 |
-
"epoch": 4.85,
|
| 1938 |
-
"learning_rate": 7.717380960398831e-06,
|
| 1939 |
-
"loss": 2.8193,
|
| 1940 |
-
"step": 1590
|
| 1941 |
-
},
|
| 1942 |
-
{
|
| 1943 |
-
"epoch": 4.86,
|
| 1944 |
-
"learning_rate": 6.273898708422032e-06,
|
| 1945 |
-
"loss": 2.895,
|
| 1946 |
-
"step": 1595
|
| 1947 |
-
},
|
| 1948 |
-
{
|
| 1949 |
-
"epoch": 4.88,
|
| 1950 |
-
"learning_rate": 4.9733318543963394e-06,
|
| 1951 |
-
"loss": 2.7687,
|
| 1952 |
-
"step": 1600
|
| 1953 |
-
},
|
| 1954 |
-
{
|
| 1955 |
-
"epoch": 4.89,
|
| 1956 |
-
"learning_rate": 3.818662632500395e-06,
|
| 1957 |
-
"loss": 2.7358,
|
| 1958 |
-
"step": 1605
|
| 1959 |
-
},
|
| 1960 |
-
{
|
| 1961 |
-
"epoch": 4.91,
|
| 1962 |
-
"learning_rate": 2.812538729785672e-06,
|
| 1963 |
-
"loss": 2.7698,
|
| 1964 |
-
"step": 1610
|
| 1965 |
-
},
|
| 1966 |
-
{
|
| 1967 |
-
"epoch": 4.92,
|
| 1968 |
-
"learning_rate": 1.9572672149594433e-06,
|
| 1969 |
-
"loss": 2.7906,
|
| 1970 |
-
"step": 1615
|
| 1971 |
-
},
|
| 1972 |
-
{
|
| 1973 |
-
"epoch": 4.94,
|
| 1974 |
-
"learning_rate": 1.2548092482157443e-06,
|
| 1975 |
-
"loss": 2.6523,
|
| 1976 |
-
"step": 1620
|
| 1977 |
-
},
|
| 1978 |
-
{
|
| 1979 |
-
"epoch": 4.95,
|
| 1980 |
-
"learning_rate": 7.067755842429393e-07,
|
| 1981 |
-
"loss": 2.7697,
|
| 1982 |
-
"step": 1625
|
| 1983 |
-
},
|
| 1984 |
-
{
|
| 1985 |
-
"epoch": 4.97,
|
| 1986 |
-
"learning_rate": 3.144228787205802e-07,
|
| 1987 |
-
"loss": 2.7642,
|
| 1988 |
-
"step": 1630
|
| 1989 |
-
},
|
| 1990 |
-
{
|
| 1991 |
-
"epoch": 4.98,
|
| 1992 |
-
"learning_rate": 7.865080677495002e-08,
|
| 1993 |
-
"loss": 2.6786,
|
| 1994 |
-
"step": 1635
|
| 1995 |
-
},
|
| 1996 |
-
{
|
| 1997 |
-
"epoch": 5.0,
|
| 1998 |
-
"learning_rate": 0.0,
|
| 1999 |
-
"loss": 2.8629,
|
| 2000 |
-
"step": 1640
|
| 2001 |
-
},
|
| 2002 |
-
{
|
| 2003 |
-
"epoch": 5.0,
|
| 2004 |
-
"eval_loss": 2.985200881958008,
|
| 2005 |
-
"eval_runtime": 3.2565,
|
| 2006 |
-
"eval_samples_per_second": 142.792,
|
| 2007 |
-
"eval_steps_per_second": 18.118,
|
| 2008 |
-
"step": 1640
|
| 2009 |
-
},
|
| 2010 |
-
{
|
| 2011 |
-
"epoch": 4.69,
|
| 2012 |
-
"learning_rate": 3.064756856761554e-05,
|
| 2013 |
-
"loss": 2.7681,
|
| 2014 |
-
"step": 1645
|
| 2015 |
-
},
|
| 2016 |
-
{
|
| 2017 |
-
"epoch": 4.7,
|
| 2018 |
-
"learning_rate": 2.8129056814413798e-05,
|
| 2019 |
-
"loss": 2.7734,
|
| 2020 |
-
"step": 1650
|
| 2021 |
-
},
|
| 2022 |
-
{
|
| 2023 |
-
"epoch": 4.72,
|
| 2024 |
-
"learning_rate": 2.5691584488661662e-05,
|
| 2025 |
-
"loss": 2.8042,
|
| 2026 |
-
"step": 1655
|
| 2027 |
-
},
|
| 2028 |
-
{
|
| 2029 |
-
"epoch": 4.73,
|
| 2030 |
-
"learning_rate": 2.3340032409686368e-05,
|
| 2031 |
-
"loss": 2.8781,
|
| 2032 |
-
"step": 1660
|
| 2033 |
-
},
|
| 2034 |
-
{
|
| 2035 |
-
"epoch": 4.74,
|
| 2036 |
-
"learning_rate": 2.1079109349241507e-05,
|
| 2037 |
-
"loss": 2.8162,
|
| 2038 |
-
"step": 1665
|
| 2039 |
-
},
|
| 2040 |
-
{
|
| 2041 |
-
"epoch": 4.76,
|
| 2042 |
-
"learning_rate": 1.891334260261341e-05,
|
| 2043 |
-
"loss": 2.523,
|
| 2044 |
-
"step": 1670
|
| 2045 |
-
},
|
| 2046 |
-
{
|
| 2047 |
-
"epoch": 4.77,
|
| 2048 |
-
"learning_rate": 1.6847068923119758e-05,
|
| 2049 |
-
"loss": 2.8495,
|
| 2050 |
-
"step": 1675
|
| 2051 |
-
},
|
| 2052 |
-
{
|
| 2053 |
-
"epoch": 4.79,
|
| 2054 |
-
"learning_rate": 1.4884425838151134e-05,
|
| 2055 |
-
"loss": 2.791,
|
| 2056 |
-
"step": 1680
|
| 2057 |
-
},
|
| 2058 |
-
{
|
| 2059 |
-
"epoch": 4.8,
|
| 2060 |
-
"learning_rate": 1.3029343364143164e-05,
|
| 2061 |
-
"loss": 2.6161,
|
| 2062 |
-
"step": 1685
|
| 2063 |
-
},
|
| 2064 |
-
{
|
| 2065 |
-
"epoch": 4.81,
|
| 2066 |
-
"learning_rate": 1.1285536137072603e-05,
|
| 2067 |
-
"loss": 2.8099,
|
| 2068 |
-
"step": 1690
|
| 2069 |
-
},
|
| 2070 |
-
{
|
| 2071 |
-
"epoch": 4.83,
|
| 2072 |
-
"learning_rate": 9.65649597423201e-06,
|
| 2073 |
-
"loss": 2.9416,
|
| 2074 |
-
"step": 1695
|
| 2075 |
-
},
|
| 2076 |
-
{
|
| 2077 |
-
"epoch": 4.84,
|
| 2078 |
-
"learning_rate": 8.145484882179486e-06,
|
| 2079 |
-
"loss": 2.881,
|
| 2080 |
-
"step": 1700
|
| 2081 |
-
},
|
| 2082 |
-
{
|
| 2083 |
-
"epoch": 4.86,
|
| 2084 |
-
"learning_rate": 6.755528524864052e-06,
|
| 2085 |
-
"loss": 2.4485,
|
| 2086 |
-
"step": 1705
|
| 2087 |
-
},
|
| 2088 |
-
{
|
| 2089 |
-
"epoch": 4.87,
|
| 2090 |
-
"learning_rate": 5.4894101650047195e-06,
|
| 2091 |
-
"loss": 2.7043,
|
| 2092 |
-
"step": 1710
|
| 2093 |
-
},
|
| 2094 |
-
{
|
| 2095 |
-
"epoch": 4.89,
|
| 2096 |
-
"learning_rate": 4.349665090857373e-06,
|
| 2097 |
-
"loss": 2.9465,
|
| 2098 |
-
"step": 1715
|
| 2099 |
-
},
|
| 2100 |
-
{
|
| 2101 |
-
"epoch": 4.9,
|
| 2102 |
-
"learning_rate": 3.3385755395280496e-06,
|
| 2103 |
-
"loss": 2.8094,
|
| 2104 |
-
"step": 1720
|
| 2105 |
-
},
|
| 2106 |
-
{
|
| 2107 |
-
"epoch": 4.91,
|
| 2108 |
-
"learning_rate": 2.4581661269975954e-06,
|
| 2109 |
-
"loss": 2.8454,
|
| 2110 |
-
"step": 1725
|
| 2111 |
-
},
|
| 2112 |
-
{
|
| 2113 |
-
"epoch": 4.93,
|
| 2114 |
-
"learning_rate": 1.7101997940107123e-06,
|
| 2115 |
-
"loss": 2.717,
|
| 2116 |
-
"step": 1730
|
| 2117 |
-
},
|
| 2118 |
-
{
|
| 2119 |
-
"epoch": 4.94,
|
| 2120 |
-
"learning_rate": 1.0961742759449984e-06,
|
| 2121 |
-
"loss": 2.6812,
|
| 2122 |
-
"step": 1735
|
| 2123 |
-
},
|
| 2124 |
-
{
|
| 2125 |
-
"epoch": 4.96,
|
| 2126 |
-
"learning_rate": 6.173191037306866e-07,
|
| 2127 |
-
"loss": 2.7196,
|
| 2128 |
-
"step": 1740
|
| 2129 |
-
},
|
| 2130 |
-
{
|
| 2131 |
-
"epoch": 4.97,
|
| 2132 |
-
"learning_rate": 2.7459314182545106e-07,
|
| 2133 |
-
"loss": 2.8512,
|
| 2134 |
-
"step": 1745
|
| 2135 |
-
},
|
| 2136 |
-
{
|
| 2137 |
-
"epoch": 4.99,
|
| 2138 |
-
"learning_rate": 6.868266817434572e-08,
|
| 2139 |
-
"loss": 2.8381,
|
| 2140 |
-
"step": 1750
|
| 2141 |
-
},
|
| 2142 |
-
{
|
| 2143 |
-
"epoch": 5.0,
|
| 2144 |
-
"learning_rate": 0.0,
|
| 2145 |
-
"loss": 2.7245,
|
| 2146 |
-
"step": 1755
|
| 2147 |
-
},
|
| 2148 |
-
{
|
| 2149 |
-
"epoch": 5.0,
|
| 2150 |
-
"eval_loss": 2.6586830615997314,
|
| 2151 |
-
"eval_runtime": 12.7857,
|
| 2152 |
-
"eval_samples_per_second": 43.33,
|
| 2153 |
-
"eval_steps_per_second": 5.475,
|
| 2154 |
-
"step": 1755
|
| 2155 |
}
|
| 2156 |
],
|
| 2157 |
-
"max_steps":
|
| 2158 |
-
"num_train_epochs":
|
| 2159 |
-
"total_flos":
|
| 2160 |
"trial_name": null,
|
| 2161 |
"trial_params": null
|
| 2162 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 2.7749314308166504,
|
| 3 |
+
"best_model_checkpoint": "output/drake/checkpoint-351",
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"global_step": 351,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.01,
|
| 12 |
+
"learning_rate": 0.00013713131733182566,
|
| 13 |
+
"loss": 2.8146,
|
| 14 |
"step": 5
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.03,
|
| 18 |
+
"learning_rate": 0.00013692540685817455,
|
| 19 |
+
"loss": 2.4938,
|
| 20 |
"step": 10
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.04,
|
| 24 |
+
"learning_rate": 0.00013658268089626935,
|
| 25 |
+
"loss": 2.6848,
|
| 26 |
"step": 15
|
| 27 |
},
|
| 28 |
{
|
| 29 |
+
"epoch": 0.06,
|
| 30 |
+
"learning_rate": 0.000136103825724055,
|
| 31 |
+
"loss": 2.4887,
|
| 32 |
"step": 20
|
| 33 |
},
|
| 34 |
{
|
| 35 |
+
"epoch": 0.07,
|
| 36 |
+
"learning_rate": 0.0001354898002059893,
|
| 37 |
+
"loss": 2.586,
|
| 38 |
"step": 25
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.09,
|
| 42 |
+
"learning_rate": 0.00013474183387300238,
|
| 43 |
+
"loss": 2.4906,
|
| 44 |
"step": 30
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 0.1,
|
| 48 |
+
"learning_rate": 0.00013386142446047196,
|
| 49 |
+
"loss": 2.4834,
|
| 50 |
"step": 35
|
| 51 |
},
|
| 52 |
{
|
| 53 |
+
"epoch": 0.11,
|
| 54 |
+
"learning_rate": 0.00013285033490914263,
|
| 55 |
+
"loss": 2.6758,
|
| 56 |
"step": 40
|
| 57 |
},
|
| 58 |
{
|
| 59 |
+
"epoch": 0.13,
|
| 60 |
+
"learning_rate": 0.00013171058983499532,
|
| 61 |
+
"loss": 2.4307,
|
| 62 |
"step": 45
|
| 63 |
},
|
| 64 |
{
|
| 65 |
+
"epoch": 0.14,
|
| 66 |
+
"learning_rate": 0.00013044447147513605,
|
| 67 |
+
"loss": 2.8348,
|
| 68 |
"step": 50
|
| 69 |
},
|
| 70 |
{
|
| 71 |
+
"epoch": 0.16,
|
| 72 |
+
"learning_rate": 0.00012905451511782055,
|
| 73 |
+
"loss": 2.7339,
|
| 74 |
"step": 55
|
| 75 |
},
|
| 76 |
{
|
| 77 |
+
"epoch": 0.17,
|
| 78 |
+
"learning_rate": 0.0001275435040257681,
|
| 79 |
+
"loss": 2.4359,
|
| 80 |
"step": 60
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 0.19,
|
| 84 |
+
"learning_rate": 0.00012591446386292745,
|
| 85 |
+
"loss": 2.7405,
|
| 86 |
"step": 65
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.2,
|
| 90 |
+
"learning_rate": 0.00012417065663585696,
|
| 91 |
+
"loss": 2.5262,
|
| 92 |
"step": 70
|
| 93 |
},
|
| 94 |
{
|
| 95 |
+
"epoch": 0.21,
|
| 96 |
+
"learning_rate": 0.00012231557416184885,
|
| 97 |
+
"loss": 2.5211,
|
| 98 |
"step": 75
|
| 99 |
},
|
| 100 |
{
|
| 101 |
+
"epoch": 0.23,
|
| 102 |
+
"learning_rate": 0.0001203529310768803,
|
| 103 |
+
"loss": 2.4883,
|
| 104 |
"step": 80
|
| 105 |
},
|
| 106 |
{
|
| 107 |
+
"epoch": 0.24,
|
| 108 |
+
"learning_rate": 0.00011828665739738674,
|
| 109 |
+
"loss": 2.6898,
|
| 110 |
"step": 85
|
| 111 |
},
|
| 112 |
{
|
| 113 |
+
"epoch": 0.26,
|
| 114 |
+
"learning_rate": 0.00011612089065075855,
|
| 115 |
+
"loss": 2.5956,
|
| 116 |
"step": 90
|
| 117 |
},
|
| 118 |
{
|
| 119 |
+
"epoch": 0.27,
|
| 120 |
+
"learning_rate": 0.0001138599675903136,
|
| 121 |
+
"loss": 2.4562,
|
| 122 |
"step": 95
|
| 123 |
},
|
| 124 |
{
|
| 125 |
+
"epoch": 0.28,
|
| 126 |
+
"learning_rate": 0.00011150841551133841,
|
| 127 |
+
"loss": 2.457,
|
| 128 |
"step": 100
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 0.3,
|
| 132 |
+
"learning_rate": 0.00010907094318558638,
|
| 133 |
+
"loss": 2.6934,
|
| 134 |
"step": 105
|
| 135 |
},
|
| 136 |
{
|
| 137 |
+
"epoch": 0.31,
|
| 138 |
+
"learning_rate": 0.00010655243143238444,
|
| 139 |
+
"loss": 2.6493,
|
| 140 |
"step": 110
|
| 141 |
},
|
| 142 |
{
|
| 143 |
+
"epoch": 0.33,
|
| 144 |
+
"learning_rate": 0.00010395792334523303,
|
| 145 |
+
"loss": 2.5976,
|
| 146 |
"step": 115
|
| 147 |
},
|
| 148 |
{
|
| 149 |
+
"epoch": 0.34,
|
| 150 |
+
"learning_rate": 0.00010129261419346177,
|
| 151 |
+
"loss": 2.7521,
|
| 152 |
"step": 120
|
| 153 |
},
|
| 154 |
{
|
| 155 |
+
"epoch": 0.36,
|
| 156 |
+
"learning_rate": 9.856184101917151e-05,
|
| 157 |
+
"loss": 2.5228,
|
| 158 |
"step": 125
|
| 159 |
},
|
| 160 |
{
|
| 161 |
+
"epoch": 0.37,
|
| 162 |
+
"learning_rate": 9.577107195028614e-05,
|
| 163 |
+
"loss": 2.555,
|
| 164 |
"step": 130
|
| 165 |
},
|
| 166 |
{
|
| 167 |
+
"epoch": 0.38,
|
| 168 |
+
"learning_rate": 9.292589525111789e-05,
|
| 169 |
+
"loss": 2.6695,
|
| 170 |
"step": 135
|
| 171 |
},
|
| 172 |
{
|
| 173 |
+
"epoch": 0.4,
|
| 174 |
+
"learning_rate": 9.003200813237038e-05,
|
| 175 |
+
"loss": 2.5893,
|
| 176 |
"step": 140
|
| 177 |
},
|
| 178 |
{
|
| 179 |
+
"epoch": 0.41,
|
| 180 |
+
"learning_rate": 8.709520534298517e-05,
|
| 181 |
+
"loss": 2.4968,
|
| 182 |
"step": 145
|
| 183 |
},
|
| 184 |
{
|
| 185 |
+
"epoch": 0.43,
|
| 186 |
+
"learning_rate": 8.4121367566679e-05,
|
| 187 |
+
"loss": 2.6097,
|
| 188 |
"step": 150
|
| 189 |
},
|
| 190 |
{
|
| 191 |
+
"epoch": 0.44,
|
| 192 |
+
"learning_rate": 8.111644964640216e-05,
|
| 193 |
+
"loss": 2.4365,
|
| 194 |
"step": 155
|
| 195 |
},
|
| 196 |
{
|
| 197 |
+
"epoch": 0.46,
|
| 198 |
+
"learning_rate": 7.808646866030093e-05,
|
| 199 |
+
"loss": 2.6697,
|
| 200 |
"step": 160
|
| 201 |
},
|
| 202 |
{
|
| 203 |
+
"epoch": 0.47,
|
| 204 |
+
"learning_rate": 7.503749187305804e-05,
|
| 205 |
+
"loss": 2.5317,
|
| 206 |
"step": 165
|
| 207 |
},
|
| 208 |
{
|
| 209 |
+
"epoch": 0.48,
|
| 210 |
+
"learning_rate": 7.197562458674299e-05,
|
| 211 |
+
"loss": 2.6247,
|
| 212 |
"step": 170
|
| 213 |
},
|
| 214 |
{
|
| 215 |
+
"epoch": 0.5,
|
| 216 |
+
"learning_rate": 6.890699791548972e-05,
|
| 217 |
+
"loss": 2.4144,
|
| 218 |
"step": 175
|
| 219 |
},
|
| 220 |
{
|
| 221 |
+
"epoch": 0.51,
|
| 222 |
+
"learning_rate": 6.583775650849418e-05,
|
| 223 |
+
"loss": 2.6802,
|
| 224 |
"step": 180
|
| 225 |
},
|
| 226 |
{
|
| 227 |
+
"epoch": 0.53,
|
| 228 |
+
"learning_rate": 6.277404624590518e-05,
|
| 229 |
+
"loss": 2.7703,
|
| 230 |
"step": 185
|
| 231 |
},
|
| 232 |
{
|
| 233 |
+
"epoch": 0.54,
|
| 234 |
+
"learning_rate": 5.9722001932251785e-05,
|
| 235 |
+
"loss": 2.8038,
|
| 236 |
"step": 190
|
| 237 |
},
|
| 238 |
{
|
| 239 |
+
"epoch": 0.56,
|
| 240 |
+
"learning_rate": 5.6687735012048764e-05,
|
| 241 |
+
"loss": 2.5009,
|
| 242 |
"step": 195
|
| 243 |
},
|
| 244 |
{
|
| 245 |
+
"epoch": 0.57,
|
| 246 |
+
"learning_rate": 5.3677321332176824e-05,
|
| 247 |
+
"loss": 2.7397,
|
| 248 |
"step": 200
|
| 249 |
},
|
| 250 |
{
|
| 251 |
+
"epoch": 0.58,
|
| 252 |
+
"learning_rate": 5.069678897554777e-05,
|
| 253 |
+
"loss": 2.2651,
|
| 254 |
"step": 205
|
| 255 |
},
|
| 256 |
{
|
| 257 |
+
"epoch": 0.6,
|
| 258 |
+
"learning_rate": 4.775210619040673e-05,
|
| 259 |
+
"loss": 2.6494,
|
| 260 |
"step": 210
|
| 261 |
},
|
| 262 |
{
|
| 263 |
+
"epoch": 0.61,
|
| 264 |
+
"learning_rate": 4.4849169439453994e-05,
|
| 265 |
+
"loss": 2.4319,
|
| 266 |
"step": 215
|
| 267 |
},
|
| 268 |
{
|
| 269 |
+
"epoch": 0.63,
|
| 270 |
+
"learning_rate": 4.199379159270695e-05,
|
| 271 |
+
"loss": 2.5083,
|
| 272 |
"step": 220
|
| 273 |
},
|
| 274 |
{
|
| 275 |
+
"epoch": 0.64,
|
| 276 |
+
"learning_rate": 3.919169028775044e-05,
|
| 277 |
+
"loss": 2.4238,
|
| 278 |
"step": 225
|
| 279 |
},
|
| 280 |
{
|
| 281 |
+
"epoch": 0.66,
|
| 282 |
+
"learning_rate": 3.6448476480681456e-05,
|
| 283 |
+
"loss": 2.7361,
|
| 284 |
"step": 230
|
| 285 |
},
|
| 286 |
{
|
| 287 |
+
"epoch": 0.67,
|
| 288 |
+
"learning_rate": 3.3769643210672815e-05,
|
| 289 |
+
"loss": 2.3582,
|
| 290 |
"step": 235
|
| 291 |
},
|
| 292 |
{
|
| 293 |
+
"epoch": 0.68,
|
| 294 |
+
"learning_rate": 3.1160554600657045e-05,
|
| 295 |
+
"loss": 2.5586,
|
| 296 |
"step": 240
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 0.7,
|
| 300 |
+
"learning_rate": 2.862643511615132e-05,
|
| 301 |
+
"loss": 2.6506,
|
| 302 |
"step": 245
|
| 303 |
},
|
| 304 |
{
|
| 305 |
+
"epoch": 0.71,
|
| 306 |
+
"learning_rate": 2.6172359103734907e-05,
|
| 307 |
+
"loss": 2.4642,
|
| 308 |
"step": 250
|
| 309 |
},
|
| 310 |
{
|
| 311 |
+
"epoch": 0.73,
|
| 312 |
+
"learning_rate": 2.3803240630126026e-05,
|
| 313 |
+
"loss": 2.4471,
|
| 314 |
"step": 255
|
| 315 |
},
|
| 316 |
{
|
| 317 |
+
"epoch": 0.74,
|
| 318 |
+
"learning_rate": 2.152382364220499e-05,
|
| 319 |
+
"loss": 2.3953,
|
| 320 |
"step": 260
|
| 321 |
},
|
| 322 |
{
|
| 323 |
+
"epoch": 0.75,
|
| 324 |
+
"learning_rate": 1.9338672467686093e-05,
|
| 325 |
+
"loss": 2.5485,
|
| 326 |
"step": 265
|
| 327 |
},
|
| 328 |
{
|
| 329 |
+
"epoch": 0.77,
|
| 330 |
+
"learning_rate": 1.725216267546251e-05,
|
| 331 |
+
"loss": 2.483,
|
| 332 |
"step": 270
|
| 333 |
},
|
| 334 |
{
|
| 335 |
+
"epoch": 0.78,
|
| 336 |
+
"learning_rate": 1.5268472313922077e-05,
|
| 337 |
+
"loss": 2.8104,
|
| 338 |
"step": 275
|
| 339 |
},
|
| 340 |
{
|
| 341 |
+
"epoch": 0.8,
|
| 342 |
+
"learning_rate": 1.3391573544780878e-05,
|
| 343 |
+
"loss": 2.4582,
|
| 344 |
"step": 280
|
| 345 |
},
|
| 346 |
{
|
| 347 |
+
"epoch": 0.81,
|
| 348 |
+
"learning_rate": 1.1625224689186508e-05,
|
| 349 |
+
"loss": 2.698,
|
| 350 |
"step": 285
|
| 351 |
},
|
| 352 |
{
|
| 353 |
+
"epoch": 0.83,
|
| 354 |
+
"learning_rate": 9.97296270201696e-06,
|
| 355 |
+
"loss": 2.3153,
|
| 356 |
"step": 290
|
| 357 |
},
|
| 358 |
{
|
| 359 |
+
"epoch": 0.84,
|
| 360 |
+
"learning_rate": 8.438096089447732e-06,
|
| 361 |
+
"loss": 2.4751,
|
| 362 |
"step": 295
|
| 363 |
},
|
| 364 |
{
|
| 365 |
+
"epoch": 0.85,
|
| 366 |
+
"learning_rate": 7.023698283963675e-06,
|
| 367 |
+
"loss": 2.7106,
|
| 368 |
"step": 300
|
| 369 |
},
|
| 370 |
{
|
| 371 |
+
"epoch": 0.87,
|
| 372 |
+
"learning_rate": 5.73260149008795e-06,
|
| 373 |
+
"loss": 2.6915,
|
| 374 |
"step": 305
|
| 375 |
},
|
| 376 |
{
|
| 377 |
+
"epoch": 0.88,
|
| 378 |
+
"learning_rate": 4.567391013146352e-06,
|
| 379 |
+
"loss": 2.8011,
|
| 380 |
"step": 310
|
| 381 |
},
|
| 382 |
{
|
| 383 |
+
"epoch": 0.9,
|
| 384 |
+
"learning_rate": 3.530400082425805e-06,
|
| 385 |
+
"loss": 2.65,
|
| 386 |
"step": 315
|
| 387 |
},
|
| 388 |
{
|
| 389 |
+
"epoch": 0.91,
|
| 390 |
+
"learning_rate": 2.623705179092382e-06,
|
| 391 |
+
"loss": 2.4158,
|
| 392 |
"step": 320
|
| 393 |
},
|
| 394 |
{
|
| 395 |
+
"epoch": 0.93,
|
| 396 |
+
"learning_rate": 1.8491218782241098e-06,
|
| 397 |
+
"loss": 2.3891,
|
| 398 |
"step": 325
|
| 399 |
},
|
| 400 |
{
|
| 401 |
+
"epoch": 0.94,
|
| 402 |
+
"learning_rate": 1.2082012132854124e-06,
|
| 403 |
+
"loss": 2.5672,
|
| 404 |
"step": 330
|
| 405 |
},
|
| 406 |
{
|
| 407 |
+
"epoch": 0.95,
|
| 408 |
+
"learning_rate": 7.022265703216476e-07,
|
| 409 |
+
"loss": 2.5956,
|
| 410 |
"step": 335
|
| 411 |
},
|
| 412 |
{
|
| 413 |
+
"epoch": 0.97,
|
| 414 |
+
"learning_rate": 3.322111180939607e-07,
|
| 415 |
+
"loss": 2.4543,
|
| 416 |
"step": 340
|
| 417 |
},
|
| 418 |
{
|
| 419 |
+
"epoch": 0.98,
|
| 420 |
+
"learning_rate": 9.889577929986752e-08,
|
| 421 |
+
"loss": 2.6378,
|
| 422 |
"step": 345
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"epoch": 1.0,
|
| 426 |
+
"learning_rate": 2.7477469421299584e-09,
|
| 427 |
+
"loss": 2.6626,
|
| 428 |
"step": 350
|
| 429 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 430 |
{
|
| 431 |
"epoch": 1.0,
|
| 432 |
+
"eval_loss": 2.7749314308166504,
|
| 433 |
+
"eval_runtime": 12.2562,
|
| 434 |
+
"eval_samples_per_second": 45.365,
|
| 435 |
+
"eval_steps_per_second": 5.711,
|
| 436 |
+
"step": 351
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 437 |
}
|
| 438 |
],
|
| 439 |
+
"max_steps": 3510,
|
| 440 |
+
"num_train_epochs": 10,
|
| 441 |
+
"total_flos": 366592720896000.0,
|
| 442 |
"trial_name": null,
|
| 443 |
"trial_params": null
|
| 444 |
}
|
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:afc7d00d22ac786685ec52a22ef3ecad318e0232adf2eae33b865aa95c79818b
|
| 3 |
+
size 3259
|