| The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`. | |
| 0it [00:00, ?it/s] 0it [00:00, ?it/s] | |
| /opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:24: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations | |
| warnings.warn( | |
| /opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1525: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead | |
| warnings.warn( | |
| Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 1237 examples [00:00, 12341.15 examples/s] Generating train split: 2264 examples [00:00, 14207.36 examples/s] | |
| Generating validation split: 0 examples [00:00, ? examples/s] Generating validation split: 30 examples [00:00, 8467.64 examples/s] | |
| Running tokenizer on train dataset: 0%| | 0/2264 [00:00<?, ? examples/s]/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:4126: UserWarning: `as_target_tokenizer` is deprecated and will be removed in v5 of Transformers. You can tokenize your labels by using the argument `text_target` of the regular `__call__` method (either in the same call as your input texts if you use the same keyword arguments, or in a separate call. | |
| warnings.warn( | |
| Running tokenizer on train dataset: 44%|████▍ | 1000/2264 [00:00<00:00, 2109.03 examples/s] Running tokenizer on train dataset: 88%|████████▊ | 2000/2264 [00:01<00:00, 1672.35 examples/s] Running tokenizer on train dataset: 100%|██████████| 2264/2264 [00:01<00:00, 1618.69 examples/s] Running tokenizer on train dataset: 100%|██████████| 2264/2264 [00:01<00:00, 1679.44 examples/s] | |
| Saving cached train data ... | |
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| Running tokenizer on validation dataset: 0%| | 0/30 [00:00<?, ? examples/s] Running tokenizer on validation dataset: 100%|██████████| 30/30 [00:00<00:00, 1337.80 examples/s] | |
| Saving cached validation data ... | |
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| Downloading builder script: 0%| | 0.00/8.15k [00:00<?, ?B/s] Downloading builder script: 100%|██████████| 8.15k/8.15k [00:00<00:00, 17.6MB/s] | |
| /opt/conda/lib/python3.10/site-packages/transformers/optimization.py:591: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning | |
| warnings.warn( | |
| All 57600 steps, warm_up steps: 200 | |
| wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter. | |
| wandb: Currently logged in as: abdiharyadi. Use `wandb login --relogin` to force relogin | |
| wandb: wandb version 0.18.3 is available! To upgrade, please run: | |
| wandb: $ pip install wandb --upgrade | |
| wandb: Tracking run with wandb version 0.17.5 | |
| wandb: Run data is saved locally in /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/wandb/run-20241002_065356-1wo93oi5 | |
| wandb: Run `wandb offline` to turn off syncing. | |
| wandb: Syncing run /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/../outputs/mbart-en-id-smaller-fted-amr-generation-v2-fted | |
| wandb: ⭐️ View project at https://wandb.ai/abdiharyadi/amr-tst | |
| wandb: 🚀 View run at https://wandb.ai/abdiharyadi/amr-tst/runs/1wo93oi5 | |
| 0%| | 0/57600 [00:00<?, ?it/s]/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock. | |
| self.pid = os.fork() | |
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| 0%| | 180/57600 [01:53<9:33:31, 1.67it/s] 0%| | 181/57600 [01:54<9:38:02, 1.66it/s] 0%| | 182/57600 [01:55<10:19:27, 1.54it/s] 0%| | 183/57600 [01:55<10:07:04, 1.58it/s] 0%| | 184/57600 [01:56<10:11:37, 1.56it/s] 0%| | 185/57600 [01:57<10:18:20, 1.55it/s] 0%| | 186/57600 [01:57<10:01:07, 1.59it/s] 0%| | 187/57600 [01:58<9:59:35, 1.60it/s] 0%| | 188/57600 [01:59<10:01:04, 1.59it/s] 0%| | 189/57600 [01:59<10:06:48, 1.58it/s] 0%| | 190/57600 [02:00<10:11:28, 1.56it/s] 0%| | 191/57600 [02:01<10:10:43, 1.57it/s] 0%| | 192/57600 [02:01<9:53:42, 1.61it/s] 0%| | 193/57600 [02:02<10:08:52, 1.57it/s] 0%| | 194/57600 [02:02<10:17:54, 1.55it/s] 0%| | 195/57600 [02:03<10:24:18, 1.53it/s] 0%| | 196/57600 [02:04<10:14:59, 1.56it/s] 0%| | 197/57600 [02:04<10:24:16, 1.53it/s] 0%| | 198/57600 [02:05<10:05:08, 1.58it/s] 0%| | 199/57600 [02:06<9:53:57, 1.61it/s] 0%| | 200/57600 [02:06<10:22:39, 1.54it/s] {'loss': 1.9132, 'learning_rate': 1e-06, 'epoch': 2.21} | |
| 0%| | 200/57600 [02:06<10:22:39, 1.54it/s] 0%| | 201/57600 [02:07<10:03:36, 1.58it/s] 0%| | 202/57600 [02:07<9:52:46, 1.61it/s] 0%| | 203/57600 [02:08<9:51:11, 1.62it/s] 0%| | 204/57600 [02:09<9:47:35, 1.63it/s] 0%| | 205/57600 [02:09<9:40:58, 1.65it/s] 0%| | 206/57600 [02:10<9:59:02, 1.60it/s] 0%| | 207/57600 [02:11<9:45:23, 1.63it/s] 0%| | 208/57600 [02:11<10:09:04, 1.57it/s] 0%| | 209/57600 [02:12<10:05:38, 1.58it/s] 0%| | 210/57600 [02:12<9:50:19, 1.62it/s] 0%| | 211/57600 [02:13<9:51:37, 1.62it/s] 0%| | 212/57600 [02:14<9:42:21, 1.64it/s] 0%| | 213/57600 [02:14<9:51:41, 1.62it/s] 0%| | 214/57600 [02:15<9:59:24, 1.60it/s] 0%| | 215/57600 [02:15<9:41:42, 1.64it/s] 0%| | 216/57600 [02:16<9:56:54, 1.60it/s] 0%| | 217/57600 [02:17<9:41:26, 1.64it/s] 0%| | 218/57600 [02:17<9:42:02, 1.64it/s] 0%| | 219/57600 [02:18<9:45:12, 1.63it/s] 0%| | 220/57600 [02:19<9:38:38, 1.65it/s] {'loss': 1.9858, 'learning_rate': 9.996864111498258e-07, 'epoch': 2.43} | |
| 0%| | 220/57600 [02:19<9:38:38, 1.65it/s] 0%| | 221/57600 [02:19<9:36:56, 1.66it/s] 0%| | 222/57600 [02:20<9:30:32, 1.68it/s] 0%| | 223/57600 [02:20<9:36:27, 1.66it/s] 0%| | 224/57600 [02:21<10:08:45, 1.57it/s] 0%| | 225/57600 [02:22<9:56:34, 1.60it/s] 0%| | 226/57600 [02:22<9:43:16, 1.64it/s] 0%| | 227/57600 [02:23<9:46:49, 1.63it/s] 0%| | 228/57600 [02:23<9:42:54, 1.64it/s] 0%| | 229/57600 [02:24<9:31:02, 1.67it/s] 0%| | 230/57600 [02:25<9:21:39, 1.70it/s] 0%| | 231/57600 [02:25<9:34:18, 1.66it/s] 0%| | 232/57600 [02:26<9:48:36, 1.62it/s] 0%| | 233/57600 [02:26<9:46:53, 1.63it/s] 0%| | 234/57600 [02:27<9:56:34, 1.60it/s] 0%| | 235/57600 [02:28<9:32:56, 1.67it/s] 0%| | 236/57600 [02:28<9:56:33, 1.60it/s] 0%| | 237/57600 [02:29<9:55:15, 1.61it/s] 0%| | 238/57600 [02:30<9:51:58, 1.61it/s] 0%| | 239/57600 [02:30<9:49:33, 1.62it/s] 0%| | 240/57600 [02:31<10:05:24, 1.58it/s] {'loss': 1.9373, 'learning_rate': 9.993728222996515e-07, 'epoch': 2.65} | |
| 0%| | 240/57600 [02:31<10:05:24, 1.58it/s] 0%| | 241/57600 [02:31<10:09:45, 1.57it/s] 0%| | 242/57600 [02:32<9:48:23, 1.62it/s] 0%| | 243/57600 [02:33<10:26:05, 1.53it/s] 0%| | 244/57600 [02:33<10:17:45, 1.55it/s] 0%| | 245/57600 [02:34<10:24:33, 1.53it/s] 0%| | 246/57600 [02:35<10:10:46, 1.57it/s] 0%| | 247/57600 [02:35<10:04:40, 1.58it/s] 0%| | 248/57600 [02:36<10:10:09, 1.57it/s] 0%| | 249/57600 [02:37<10:07:29, 1.57it/s] 0%| | 250/57600 [02:37<10:02:17, 1.59it/s] 0%| | 251/57600 [02:38<10:29:58, 1.52it/s] 0%| | 252/57600 [02:39<10:01:42, 1.59it/s] 0%| | 253/57600 [02:39<10:32:16, 1.51it/s] 0%| | 254/57600 [02:40<10:17:51, 1.55it/s] 0%| | 255/57600 [02:40<9:54:38, 1.61it/s] 0%| | 256/57600 [02:41<9:45:56, 1.63it/s] 0%| | 257/57600 [02:42<9:53:32, 1.61it/s] 0%| | 258/57600 [02:42<9:48:26, 1.62it/s] 0%| | 259/57600 [02:43<9:53:07, 1.61it/s] 0%| | 260/57600 [02:44<9:52:48, 1.61it/s] {'loss': 1.9146, 'learning_rate': 9.990592334494773e-07, 'epoch': 2.87} | |
| 0%| | 260/57600 [02:44<9:52:48, 1.61it/s] 0%| | 261/57600 [02:44<9:58:43, 1.60it/s] 0%| | 262/57600 [02:45<10:07:11, 1.57it/s] 0%| | 263/57600 [02:45<10:22:58, 1.53it/s] 0%| | 264/57600 [02:46<10:15:12, 1.55it/s] 0%| | 265/57600 [02:47<10:12:31, 1.56it/s] 0%| | 266/57600 [02:47<10:18:45, 1.54it/s] 0%| | 267/57600 [02:48<10:20:17, 1.54it/s] 0%| | 268/57600 [02:49<10:16:57, 1.55it/s] 0%| | 269/57600 [02:49<9:50:41, 1.62it/s] 0%| | 270/57600 [02:50<9:45:05, 1.63it/s] 0%| | 271/57600 [02:50<9:48:32, 1.62it/s] 0%| | 272/57600 [02:51<9:54:23, 1.61it/s] 0%| | 273/57600 [02:52<9:57:59, 1.60it/s] 0%| | 274/57600 [02:52<10:10:07, 1.57it/s] 0%| | 275/57600 [02:53<10:01:26, 1.59it/s] 0%| | 276/57600 [02:54<9:59:15, 1.59it/s] 0%| | 277/57600 [02:54<9:44:20, 1.63it/s] 0%| | 278/57600 [02:55<9:41:39, 1.64it/s] 0%| | 279/57600 [02:55<9:29:44, 1.68it/s] 0%| | 280/57600 [02:56<9:59:29, 1.59it/s] {'loss': 1.8665, 'learning_rate': 9.987456445993032e-07, 'epoch': 3.09} | |
| 0%| | 280/57600 [02:56<9:59:29, 1.59it/s] 0%| | 281/57600 [02:57<9:54:05, 1.61it/s] 0%| | 282/57600 [02:57<9:58:41, 1.60it/s] 0%| | 283/57600 [02:58<10:04:24, 1.58it/s] 0%| | 284/57600 [02:59<10:01:39, 1.59it/s] 0%| | 285/57600 [02:59<10:20:33, 1.54it/s] 0%| | 286/57600 [03:00<10:09:09, 1.57it/s] 0%| | 287/57600 [03:01<9:52:07, 1.61it/s] 0%| | 288/57600 [03:01<10:20:27, 1.54it/s] 1%| | 289/57600 [03:02<9:59:23, 1.59it/s] 1%| | 290/57600 [03:02<10:03:13, 1.58it/s] 1%| | 291/57600 [03:03<9:57:36, 1.60it/s] 1%| | 292/57600 [03:04<9:52:29, 1.61it/s] 1%| | 293/57600 [03:04<9:55:12, 1.60it/s] 1%| | 294/57600 [03:05<10:09:58, 1.57it/s] 1%| | 295/57600 [03:06<10:05:10, 1.58it/s] 1%| | 296/57600 [03:06<9:56:20, 1.60it/s] 1%| | 297/57600 [03:07<9:50:59, 1.62it/s] 1%| | 298/57600 [03:07<9:48:46, 1.62it/s] 1%| | 299/57600 [03:08<9:49:36, 1.62it/s] 1%| | 300/57600 [03:09<9:58:25, 1.60it/s] {'loss': 1.9419, 'learning_rate': 9.98432055749129e-07, 'epoch': 3.31} | |
| 1%| | 300/57600 [03:09<9:58:25, 1.60it/s] 1%| | 301/57600 [03:09<9:52:13, 1.61it/s] 1%| | 302/57600 [03:10<10:03:12, 1.58it/s] 1%| | 303/57600 [03:11<10:05:07, 1.58it/s] 1%| | 304/57600 [03:11<10:19:34, 1.54it/s] 1%| | 305/57600 [03:12<10:08:26, 1.57it/s] 1%| | 306/57600 [03:13<10:11:44, 1.56it/s] 1%| | 307/57600 [03:13<10:24:48, 1.53it/s] 1%| | 308/57600 [03:14<10:18:02, 1.55it/s] 1%| | 309/57600 [03:15<10:24:42, 1.53it/s] 1%| | 310/57600 [03:15<10:23:42, 1.53it/s] 1%| | 311/57600 [03:16<10:20:23, 1.54it/s] 1%| | 312/57600 [03:16<10:14:58, 1.55it/s] 1%| | 313/57600 [03:17<9:52:59, 1.61it/s] 1%| | 314/57600 [03:18<10:07:25, 1.57it/s] 1%| | 315/57600 [03:18<10:07:17, 1.57it/s] 1%| | 316/57600 [03:19<10:10:11, 1.56it/s] 1%| | 317/57600 [03:20<10:00:26, 1.59it/s] 1%| | 318/57600 [03:20<9:49:23, 1.62it/s] 1%| | 319/57600 [03:21<9:54:30, 1.61it/s] 1%| | 320/57600 [03:21<9:43:43, 1.64it/s] {'loss': 1.8332, 'learning_rate': 9.981184668989545e-07, 'epoch': 3.53} | |
| 1%| | 320/57600 [03:21<9:43:43, 1.64it/s] 1%| | 321/57600 [03:22<9:39:22, 1.65it/s] 1%| | 322/57600 [03:23<9:35:57, 1.66it/s] 1%| | 323/57600 [03:23<9:38:16, 1.65it/s] 1%| | 324/57600 [03:24<9:29:21, 1.68it/s] 1%| | 325/57600 [03:25<10:17:13, 1.55it/s] 1%| | 326/57600 [03:25<10:21:17, 1.54it/s] 1%| | 327/57600 [03:26<10:05:01, 1.58it/s] 1%| | 328/57600 [03:26<10:16:35, 1.55it/s] 1%| | 329/57600 [03:27<10:00:25, 1.59it/s] 1%| | 330/57600 [03:28<10:03:38, 1.58it/s] 1%| | 331/57600 [03:28<10:26:10, 1.52it/s] 1%| | 332/57600 [03:29<10:16:20, 1.55it/s] 1%| | 333/57600 [03:30<10:03:48, 1.58it/s] 1%| | 334/57600 [03:30<9:47:56, 1.62it/s] 1%| | 335/57600 [03:31<9:42:24, 1.64it/s] 1%| | 336/57600 [03:31<9:47:27, 1.62it/s] 1%| | 337/57600 [03:32<9:51:13, 1.61it/s] 1%| | 338/57600 [03:33<9:53:47, 1.61it/s] 1%| | 339/57600 [03:33<10:06:48, 1.57it/s] 1%| | 340/57600 [03:34<10:18:56, 1.54it/s] {'loss': 1.8534, 'learning_rate': 9.978048780487803e-07, 'epoch': 3.75} | |
| 1%| | 340/57600 [03:34<10:18:56, 1.54it/s] 1%| | 341/57600 [03:35<10:14:37, 1.55it/s] 1%| | 342/57600 [03:35<10:52:46, 1.46it/s] 1%| | 343/57600 [03:36<10:39:13, 1.49it/s] 1%| | 344/57600 [03:37<10:05:34, 1.58it/s] 1%| | 345/57600 [03:37<10:10:54, 1.56it/s] 1%| | 346/57600 [03:38<9:52:21, 1.61it/s] 1%| | 347/57600 [03:38<9:34:05, 1.66it/s] 1%| | 348/57600 [03:39<9:25:03, 1.69it/s] 1%| | 349/57600 [03:40<9:24:32, 1.69it/s] 1%| | 350/57600 [03:40<9:24:33, 1.69it/s] 1%| | 351/57600 [03:41<9:32:59, 1.67it/s] 1%| | 352/57600 [03:41<9:39:29, 1.65it/s] 1%| | 353/57600 [03:42<9:42:51, 1.64it/s] 1%| | 354/57600 [03:43<9:39:03, 1.65it/s] 1%| | 355/57600 [03:43<9:37:32, 1.65it/s] 1%| | 356/57600 [03:44<9:31:27, 1.67it/s] 1%| | 357/57600 [03:44<9:40:57, 1.64it/s] 1%| | 358/57600 [03:45<9:42:15, 1.64it/s] 1%| | 359/57600 [03:46<10:11:15, 1.56it/s] 1%| | 360/57600 [03:46<9:59:13, 1.59it/s] {'loss': 1.9421, 'learning_rate': 9.974912891986062e-07, 'epoch': 3.97} | |
| 1%| | 360/57600 [03:46<9:59:13, 1.59it/s] 1%| | 361/57600 [03:47<10:07:45, 1.57it/s] 1%| | 362/57600 [03:48<9:57:42, 1.60it/s] 1%| | 363/57600 [03:48<10:03:49, 1.58it/s] 1%| | 364/57600 [03:49<10:02:29, 1.58it/s] 1%| | 365/57600 [03:50<10:05:17, 1.58it/s] 1%| | 366/57600 [03:50<10:02:33, 1.58it/s] 1%| | 367/57600 [03:51<10:01:17, 1.59it/s] 1%| | 368/57600 [03:51<10:01:21, 1.59it/s] 1%| | 369/57600 [03:52<9:49:13, 1.62it/s] 1%| | 370/57600 [03:53<9:49:24, 1.62it/s] 1%| | 371/57600 [03:53<9:53:49, 1.61it/s] 1%| | 372/57600 [03:54<9:52:56, 1.61it/s] 1%| | 373/57600 [03:54<9:52:34, 1.61it/s] 1%| | 374/57600 [03:55<10:16:58, 1.55it/s] 1%| | 375/57600 [03:56<10:14:16, 1.55it/s] 1%| | 376/57600 [03:56<9:56:17, 1.60it/s] 1%| | 377/57600 [03:57<9:46:20, 1.63it/s] 1%| | 378/57600 [03:58<9:48:42, 1.62it/s] 1%| | 379/57600 [03:58<9:51:46, 1.61it/s] 1%| | 380/57600 [03:59<10:10:09, 1.56it/s] {'loss': 1.9374, 'learning_rate': 9.97177700348432e-07, 'epoch': 4.19} | |
| 1%| | 380/57600 [03:59<10:10:09, 1.56it/s] 1%| | 381/57600 [04:00<9:54:39, 1.60it/s] 1%| | 382/57600 [04:00<9:59:01, 1.59it/s] 1%| | 383/57600 [04:01<10:02:48, 1.58it/s] 1%| | 384/57600 [04:01<9:58:56, 1.59it/s] 1%| | 385/57600 [04:02<9:54:11, 1.60it/s] 1%| | 386/57600 [04:03<10:05:47, 1.57it/s] 1%| | 387/57600 [04:03<10:04:29, 1.58it/s] 1%| | 388/57600 [04:04<9:43:12, 1.63it/s] 1%| | 389/57600 [04:04<9:38:57, 1.65it/s] 1%| | 390/57600 [04:05<9:40:30, 1.64it/s] 1%| | 391/57600 [04:06<9:43:43, 1.63it/s] 1%| | 392/57600 [04:06<10:08:58, 1.57it/s] 1%| | 393/57600 [04:07<10:22:22, 1.53it/s] 1%| | 394/57600 [04:08<10:47:40, 1.47it/s] 1%| | 395/57600 [04:09<10:59:28, 1.45it/s] 1%| | 396/57600 [04:09<10:32:36, 1.51it/s] 1%| | 397/57600 [04:10<10:25:46, 1.52it/s] 1%| | 398/57600 [04:10<10:10:36, 1.56it/s] 1%| | 399/57600 [04:11<10:21:18, 1.53it/s] 1%| | 400/57600 [04:12<10:13:11, 1.55it/s] {'loss': 1.8876, 'learning_rate': 9.96864111498258e-07, 'epoch': 4.42} | |
| 1%| | 400/57600 [04:12<10:13:11, 1.55it/s] 1%| | 401/57600 [04:12<10:00:26, 1.59it/s] 1%| | 402/57600 [04:13<9:56:21, 1.60it/s] 1%| | 403/57600 [04:14<9:56:01, 1.60it/s] 1%| | 404/57600 [04:14<10:07:36, 1.57it/s] 1%| | 405/57600 [04:15<10:09:54, 1.56it/s] 1%| | 406/57600 [04:16<10:38:28, 1.49it/s] 1%| | 407/57600 [04:16<10:36:15, 1.50it/s] 1%| | 408/57600 [04:17<10:31:45, 1.51it/s] 1%| | 409/57600 [04:18<10:28:38, 1.52it/s] 1%| | 410/57600 [04:18<10:13:18, 1.55it/s] 1%| | 411/57600 [04:19<10:13:23, 1.55it/s] 1%| | 412/57600 [04:19<10:22:57, 1.53it/s] 1%| | 413/57600 [04:20<10:09:04, 1.56it/s] 1%| | 414/57600 [04:21<10:03:06, 1.58it/s] 1%| | 415/57600 [04:21<10:01:48, 1.58it/s] 1%| | 416/57600 [04:22<10:06:34, 1.57it/s] 1%| | 417/57600 [04:23<9:55:44, 1.60it/s] 1%| | 418/57600 [04:23<9:45:24, 1.63it/s] 1%| | 419/57600 [04:24<9:43:34, 1.63it/s] 1%| | 420/57600 [04:24<9:41:55, 1.64it/s] {'loss': 1.8593, 'learning_rate': 9.965505226480835e-07, 'epoch': 4.64} | |
| 1%| | 420/57600 [04:24<9:41:55, 1.64it/s] 1%| | 421/57600 [04:25<9:48:57, 1.62it/s] 1%| | 422/57600 [04:26<9:54:16, 1.60it/s] 1%| | 423/57600 [04:26<9:59:48, 1.59it/s] 1%| | 424/57600 [04:27<9:45:13, 1.63it/s] 1%| | 425/57600 [04:28<9:55:35, 1.60it/s] 1%| | 426/57600 [04:28<9:56:12, 1.60it/s] 1%| | 427/57600 [04:29<9:50:17, 1.61it/s] 1%| | 428/57600 [04:29<9:48:31, 1.62it/s] 1%| | 429/57600 [04:30<10:02:28, 1.58it/s] 1%| | 430/57600 [04:31<10:22:56, 1.53it/s] 1%| | 431/57600 [04:31<10:17:42, 1.54it/s] 1%| | 432/57600 [04:32<10:11:14, 1.56it/s] 1%| | 433/57600 [04:33<10:18:13, 1.54it/s] 1%| | 434/57600 [04:33<10:21:55, 1.53it/s] 1%| | 435/57600 [04:34<10:23:26, 1.53it/s] 1%| | 436/57600 [04:35<10:10:50, 1.56it/s] 1%| | 437/57600 [04:35<9:56:16, 1.60it/s] 1%| | 438/57600 [04:36<10:05:02, 1.57it/s] 1%| | 439/57600 [04:36<9:45:33, 1.63it/s] 1%| | 440/57600 [04:37<9:55:38, 1.60it/s] {'loss': 1.8243, 'learning_rate': 9.962369337979094e-07, 'epoch': 4.86} | |
| 1%| | 440/57600 [04:37<9:55:38, 1.60it/s] 1%| | 441/57600 [04:38<9:55:32, 1.60it/s] 1%| | 442/57600 [04:38<9:38:02, 1.65it/s] 1%| | 443/57600 [04:39<9:38:58, 1.65it/s] 1%| | 444/57600 [04:39<9:32:47, 1.66it/s] 1%| | 445/57600 [04:40<9:41:35, 1.64it/s] 1%| | 446/57600 [04:41<9:33:02, 1.66it/s] 1%| | 447/57600 [04:41<9:57:51, 1.59it/s] 1%| | 448/57600 [04:42<9:52:56, 1.61it/s] 1%| | 449/57600 [04:43<9:44:22, 1.63it/s] 1%| | 450/57600 [04:43<9:52:43, 1.61it/s] 1%| | 451/57600 [04:44<9:36:05, 1.65it/s] 1%| | 452/57600 [04:44<9:36:48, 1.65it/s] 1%| | 453/57600 [04:45<9:38:45, 1.65it/s] 1%| | 454/57600 [04:46<10:26:22, 1.52it/s] 1%| | 455/57600 [04:46<10:19:30, 1.54it/s] 1%| | 456/57600 [04:47<10:05:25, 1.57it/s] 1%| | 457/57600 [04:48<10:02:03, 1.58it/s] 1%| | 458/57600 [04:48<10:18:55, 1.54it/s] 1%| | 459/57600 [04:49<10:37:13, 1.49it/s] 1%| | 460/57600 [04:50<10:22:23, 1.53it/s] {'loss': 1.8791, 'learning_rate': 9.95923344947735e-07, 'epoch': 5.08} | |
| 1%| | 460/57600 [04:50<10:22:23, 1.53it/s] 1%| | 461/57600 [04:50<10:05:40, 1.57it/s] 1%| | 462/57600 [04:51<9:47:24, 1.62it/s] 1%| | 463/57600 [04:51<10:03:42, 1.58it/s] 1%| | 464/57600 [04:52<10:21:11, 1.53it/s] 1%| | 465/57600 [04:53<10:16:45, 1.54it/s] 1%| | 466/57600 [04:53<10:09:59, 1.56it/s] 1%| | 467/57600 [04:54<10:12:55, 1.55it/s] 1%| | 468/57600 [04:55<10:10:34, 1.56it/s] 1%| | 469/57600 [04:55<10:11:03, 1.56it/s] 1%| | 470/57600 [04:56<10:07:17, 1.57it/s] 1%| | 471/57600 [04:57<10:08:58, 1.56it/s] 1%| | 472/57600 [04:57<9:58:15, 1.59it/s] 1%| | 473/57600 [04:58<9:56:09, 1.60it/s] 1%| | 474/57600 [04:59<10:04:05, 1.58it/s] 1%| | 475/57600 [04:59<10:00:00, 1.59it/s] 1%| | 476/57600 [05:00<9:58:21, 1.59it/s] 1%| | 477/57600 [05:00<10:14:23, 1.55it/s] 1%| | 478/57600 [05:01<10:08:47, 1.56it/s] 1%| | 479/57600 [05:02<10:11:03, 1.56it/s] 1%| | 480/57600 [05:02<9:55:04, 1.60it/s] {'loss': 1.8878, 'learning_rate': 9.95609756097561e-07, 'epoch': 5.3} | |
| 1%| | 480/57600 [05:02<9:55:04, 1.60it/s] 1%| | 481/57600 [05:03<9:54:05, 1.60it/s] 1%| | 482/57600 [05:04<9:48:45, 1.62it/s] 1%| | 483/57600 [05:04<10:10:25, 1.56it/s] 1%| | 484/57600 [05:05<10:03:51, 1.58it/s] 1%| | 485/57600 [05:05<9:50:34, 1.61it/s] 1%| | 486/57600 [05:06<9:53:15, 1.60it/s] 1%| | 487/57600 [05:07<10:05:27, 1.57it/s] 1%| | 488/57600 [05:07<9:55:04, 1.60it/s] 1%| | 489/57600 [05:08<9:55:16, 1.60it/s] 1%| | 490/57600 [05:09<9:39:46, 1.64it/s] 1%| | 491/57600 [05:09<9:31:51, 1.66it/s] 1%| | 492/57600 [05:10<9:39:29, 1.64it/s] 1%| | 493/57600 [05:10<9:42:52, 1.63it/s] 1%| | 494/57600 [05:11<9:27:58, 1.68it/s] 1%| | 495/57600 [05:12<9:44:57, 1.63it/s] 1%| | 496/57600 [05:12<9:52:28, 1.61it/s] 1%| | 497/57600 [05:13<9:51:25, 1.61it/s] 1%| | 498/57600 [05:13<10:01:12, 1.58it/s] 1%| | 499/57600 [05:14<10:03:37, 1.58it/s] 1%| | 500/57600 [05:15<10:02:36, 1.58it/s] {'loss': 1.8985, 'learning_rate': 9.952961672473868e-07, 'epoch': 5.52} | |
| 1%| | 500/57600 [05:15<10:02:36, 1.58it/s] 1%| | 501/57600 [05:15<9:55:23, 1.60it/s] 1%| | 502/57600 [05:16<10:06:03, 1.57it/s] 1%| | 503/57600 [05:17<10:08:55, 1.56it/s] 1%| | 504/57600 [05:17<9:57:07, 1.59it/s] 1%| | 505/57600 [05:18<9:47:34, 1.62it/s] 1%| | 506/57600 [05:19<10:07:07, 1.57it/s] 1%| | 507/57600 [05:19<10:12:13, 1.55it/s] 1%| | 508/57600 [05:20<10:00:28, 1.58it/s] 1%| | 509/57600 [05:20<9:46:08, 1.62it/s] 1%| | 510/57600 [05:21<9:43:15, 1.63it/s] 1%| | 511/57600 [05:22<9:34:18, 1.66it/s] 1%| | 512/57600 [05:22<10:10:05, 1.56it/s] 1%| | 513/57600 [05:23<10:26:43, 1.52it/s] 1%| | 514/57600 [05:24<10:16:41, 1.54it/s] 1%| | 515/57600 [05:24<10:04:48, 1.57it/s] 1%| | 516/57600 [05:25<10:12:08, 1.55it/s] 1%| | 517/57600 [05:26<10:09:19, 1.56it/s] 1%| | 518/57600 [05:26<10:11:28, 1.56it/s] 1%| | 519/57600 [05:27<10:10:55, 1.56it/s] 1%| | 520/57600 [05:27<9:52:32, 1.61it/s] {'loss': 1.84, 'learning_rate': 9.949825783972126e-07, 'epoch': 5.74} | |
| 1%| | 520/57600 [05:27<9:52:32, 1.61it/s] 1%| | 521/57600 [05:28<10:10:02, 1.56it/s] 1%| | 522/57600 [05:29<10:20:23, 1.53it/s] 1%| | 523/57600 [05:29<10:26:24, 1.52it/s] 1%| | 524/57600 [05:30<10:02:55, 1.58it/s] 1%| | 525/57600 [05:31<10:17:53, 1.54it/s] 1%| | 526/57600 [05:31<10:16:26, 1.54it/s] 1%| | 527/57600 [05:32<10:17:11, 1.54it/s] 1%| | 528/57600 [05:33<10:04:34, 1.57it/s] 1%| | 529/57600 [05:33<10:09:08, 1.56it/s] 1%| | 530/57600 [05:34<10:05:42, 1.57it/s] 1%| | 531/57600 [05:35<10:01:47, 1.58it/s] 1%| | 532/57600 [05:35<10:07:44, 1.57it/s] 1%| | 533/57600 [05:36<10:00:23, 1.58it/s] 1%| | 534/57600 [05:36<10:01:48, 1.58it/s] 1%| | 535/57600 [05:37<9:59:37, 1.59it/s] 1%| | 536/57600 [05:38<9:59:45, 1.59it/s] 1%| | 537/57600 [05:38<9:51:52, 1.61it/s] 1%| | 538/57600 [05:39<10:09:20, 1.56it/s] 1%| | 539/57600 [05:40<10:02:46, 1.58it/s] 1%| | 540/57600 [05:40<10:02:01, 1.58it/s] {'loss': 1.8468, 'learning_rate': 9.946689895470383e-07, 'epoch': 5.96} | |
| 1%| | 540/57600 [05:40<10:02:01, 1.58it/s] 1%| | 541/57600 [05:41<10:18:25, 1.54it/s] 1%| | 542/57600 [05:41<9:59:57, 1.59it/s] 1%| | 543/57600 [05:42<9:43:01, 1.63it/s] 1%| | 544/57600 [05:43<10:12:05, 1.55it/s] 1%| | 545/57600 [05:43<10:11:36, 1.55it/s] 1%| | 546/57600 [05:44<10:09:49, 1.56it/s] 1%| | 547/57600 [05:45<10:10:28, 1.56it/s] 1%| | 548/57600 [05:45<10:12:20, 1.55it/s] 1%| | 549/57600 [05:46<10:32:17, 1.50it/s] 1%| | 550/57600 [05:47<10:07:36, 1.56it/s] 1%| | 551/57600 [05:47<10:16:06, 1.54it/s] 1%| | 552/57600 [05:48<10:08:13, 1.56it/s] 1%| | 553/57600 [05:49<10:12:17, 1.55it/s] 1%| | 554/57600 [05:49<10:04:07, 1.57it/s] 1%| | 555/57600 [05:50<10:18:41, 1.54it/s] 1%| | 556/57600 [05:51<10:13:13, 1.55it/s] 1%| | 557/57600 [05:51<9:54:50, 1.60it/s] 1%| | 558/57600 [05:52<10:20:35, 1.53it/s] 1%| | 559/57600 [05:52<10:27:10, 1.52it/s] 1%| | 560/57600 [05:53<10:21:52, 1.53it/s] {'loss': 1.8469, 'learning_rate': 9.94355400696864e-07, 'epoch': 6.18} | |
| 1%| | 560/57600 [05:53<10:21:52, 1.53it/s] 1%| | 561/57600 [05:54<10:20:28, 1.53it/s] 1%| | 562/57600 [05:54<10:18:19, 1.54it/s] 1%| | 563/57600 [05:55<9:57:51, 1.59it/s] 1%| | 564/57600 [05:56<9:59:39, 1.59it/s] 1%| | 565/57600 [05:56<10:35:38, 1.50it/s] 1%| | 566/57600 [05:57<10:18:30, 1.54it/s] 1%| | 567/57600 [05:58<10:33:18, 1.50it/s] 1%| | 568/57600 [05:58<10:14:56, 1.55it/s] 1%| | 569/57600 [05:59<9:54:14, 1.60it/s] 1%| | 570/57600 [05:59<9:46:36, 1.62it/s] 1%| | 571/57600 [06:00<9:44:32, 1.63it/s] 1%| | 572/57600 [06:01<9:38:49, 1.64it/s] 1%| | 573/57600 [06:01<9:32:32, 1.66it/s] 1%| | 574/57600 [06:02<9:27:05, 1.68it/s] 1%| | 575/57600 [06:02<9:40:21, 1.64it/s] 1%| | 576/57600 [06:03<9:33:32, 1.66it/s] 1%| | 577/57600 [06:04<9:33:52, 1.66it/s] 1%| | 578/57600 [06:04<9:47:58, 1.62it/s] 1%| | 579/57600 [06:05<9:49:53, 1.61it/s] 1%| | 580/57600 [06:06<9:55:13, 1.60it/s] {'loss': 1.8528, 'learning_rate': 9.940418118466898e-07, 'epoch': 6.4} | |
| 1%| | 580/57600 [06:06<9:55:13, 1.60it/s] 1%| | 581/57600 [06:06<10:01:03, 1.58it/s] 1%| | 582/57600 [06:07<10:23:03, 1.53it/s] 1%| | 583/57600 [06:08<10:22:45, 1.53it/s] 1%| | 584/57600 [06:08<10:20:24, 1.53it/s] 1%| | 585/57600 [06:09<9:58:31, 1.59it/s] 1%| | 586/57600 [06:09<9:43:04, 1.63it/s] 1%| | 587/57600 [06:10<10:03:31, 1.57it/s] 1%| | 588/57600 [06:11<10:06:52, 1.57it/s] 1%| | 589/57600 [06:11<9:49:29, 1.61it/s] 1%| | 590/57600 [06:12<9:36:04, 1.65it/s] 1%| | 591/57600 [06:13<9:50:38, 1.61it/s] 1%| | 592/57600 [06:13<9:43:06, 1.63it/s] 1%| | 593/57600 [06:14<9:56:19, 1.59it/s] 1%| | 594/57600 [06:14<9:43:51, 1.63it/s] 1%| | 595/57600 [06:15<9:53:05, 1.60it/s] 1%| | 596/57600 [06:16<10:06:11, 1.57it/s] 1%| | 597/57600 [06:16<10:13:47, 1.55it/s] 1%| | 598/57600 [06:17<10:47:58, 1.47it/s] 1%| | 599/57600 [06:18<10:34:51, 1.50it/s] 1%| | 600/57600 [06:18<10:23:09, 1.52it/s] {'loss': 1.8269, 'learning_rate': 9.937282229965156e-07, 'epoch': 6.62} | |
| 1%| | 600/57600 [06:18<10:23:09, 1.52it/s] 1%| | 601/57600 [06:19<10:13:05, 1.55it/s] 1%| | 602/57600 [06:20<9:56:06, 1.59it/s] 1%| | 603/57600 [06:20<10:06:36, 1.57it/s] 1%| | 604/57600 [06:21<9:55:24, 1.60it/s] 1%| | 605/57600 [06:22<10:08:38, 1.56it/s] 1%| | 606/57600 [06:22<10:05:35, 1.57it/s] 1%| | 607/57600 [06:23<9:49:53, 1.61it/s] 1%| | 608/57600 [06:23<9:46:40, 1.62it/s] 1%| | 609/57600 [06:24<9:40:41, 1.64it/s] 1%| | 610/57600 [06:25<9:36:23, 1.65it/s] 1%| | 611/57600 [06:25<9:59:05, 1.59it/s] 1%| | 612/57600 [06:26<9:48:01, 1.62it/s] 1%| | 613/57600 [06:26<9:45:12, 1.62it/s] 1%| | 614/57600 [06:27<9:54:39, 1.60it/s] 1%| | 615/57600 [06:28<10:13:53, 1.55it/s] 1%| | 616/57600 [06:28<10:00:54, 1.58it/s] 1%| | 617/57600 [06:29<10:06:43, 1.57it/s] 1%| | 618/57600 [06:30<10:22:31, 1.53it/s] 1%| | 619/57600 [06:30<10:13:03, 1.55it/s] 1%| | 620/57600 [06:31<10:16:48, 1.54it/s] {'loss': 1.8324, 'learning_rate': 9.934146341463415e-07, 'epoch': 6.84} | |
| 1%| | 620/57600 [06:31<10:16:48, 1.54it/s] 1%| | 621/57600 [06:32<10:23:20, 1.52it/s] 1%| | 622/57600 [06:32<10:43:12, 1.48it/s] 1%| | 623/57600 [06:33<10:19:06, 1.53it/s] 1%| | 624/57600 [06:34<10:02:43, 1.58it/s] 1%| | 625/57600 [06:34<9:55:43, 1.59it/s] 1%| | 626/57600 [06:35<10:12:30, 1.55it/s] 1%| | 627/57600 [06:36<10:11:25, 1.55it/s] 1%| | 628/57600 [06:36<10:29:53, 1.51it/s] 1%| | 629/57600 [06:37<10:17:14, 1.54it/s] 1%| | 630/57600 [06:37<10:08:42, 1.56it/s] 1%| | 631/57600 [06:38<10:03:10, 1.57it/s] 1%| | 632/57600 [06:39<9:54:32, 1.60it/s] 1%| | 633/57600 [06:39<9:38:11, 1.64it/s] 1%| | 634/57600 [06:40<9:48:33, 1.61it/s] 1%| | 635/57600 [06:41<9:59:13, 1.58it/s] 1%| | 636/57600 [06:41<9:45:44, 1.62it/s] 1%| | 637/57600 [06:42<9:54:02, 1.60it/s] 1%| | 638/57600 [06:42<9:59:12, 1.58it/s] 1%| | 639/57600 [06:43<10:10:00, 1.56it/s] 1%| | 640/57600 [06:44<10:31:59, 1.50it/s] {'loss': 1.808, 'learning_rate': 9.931010452961673e-07, 'epoch': 7.06} | |
| 1%| | 640/57600 [06:44<10:31:59, 1.50it/s] 1%| | 641/57600 [06:44<10:10:58, 1.55it/s] 1%| | 642/57600 [06:45<9:58:29, 1.59it/s] 1%| | 643/57600 [06:46<9:52:25, 1.60it/s] 1%| | 644/57600 [06:46<10:03:23, 1.57it/s] 1%| | 645/57600 [06:47<10:00:35, 1.58it/s] 1%| | 646/57600 [06:48<10:03:12, 1.57it/s] 1%| | 647/57600 [06:48<9:52:39, 1.60it/s] 1%| | 648/57600 [06:49<9:55:13, 1.59it/s] 1%| | 649/57600 [06:49<10:06:47, 1.56it/s] 1%| | 650/57600 [06:50<10:15:12, 1.54it/s] 1%| | 651/57600 [06:51<10:17:17, 1.54it/s] 1%| | 652/57600 [06:51<10:16:53, 1.54it/s] 1%| | 653/57600 [06:52<10:22:29, 1.52it/s] 1%| | 654/57600 [06:53<10:19:10, 1.53it/s] 1%| | 655/57600 [06:53<10:14:55, 1.54it/s] 1%| | 656/57600 [06:54<10:09:22, 1.56it/s] 1%| | 657/57600 [06:55<9:59:34, 1.58it/s] 1%| | 658/57600 [06:55<9:58:57, 1.58it/s] 1%| | 659/57600 [06:56<10:08:28, 1.56it/s] 1%| | 660/57600 [06:57<10:02:34, 1.57it/s] {'loss': 1.9003, 'learning_rate': 9.92787456445993e-07, 'epoch': 7.28} | |
| 1%| | 660/57600 [06:57<10:02:34, 1.57it/s] 1%| | 661/57600 [06:57<10:02:55, 1.57it/s] 1%| | 662/57600 [06:58<10:04:02, 1.57it/s] 1%| | 663/57600 [06:58<10:05:27, 1.57it/s] 1%| | 664/57600 [06:59<10:07:43, 1.56it/s] 1%| | 665/57600 [07:00<9:54:28, 1.60it/s] 1%| | 666/57600 [07:00<9:43:00, 1.63it/s] 1%| | 667/57600 [07:01<9:36:52, 1.64it/s] 1%| | 668/57600 [07:02<10:07:12, 1.56it/s] 1%| | 669/57600 [07:02<10:01:33, 1.58it/s] 1%| | 670/57600 [07:03<10:09:30, 1.56it/s] 1%| | 671/57600 [07:04<10:08:52, 1.56it/s] 1%| | 672/57600 [07:04<10:06:51, 1.56it/s] 1%| | 673/57600 [07:05<10:12:45, 1.55it/s] 1%| | 674/57600 [07:05<9:55:54, 1.59it/s] 1%| | 675/57600 [07:06<9:59:42, 1.58it/s] 1%| | 676/57600 [07:07<9:58:34, 1.58it/s] 1%| | 677/57600 [07:07<10:10:01, 1.56it/s] 1%| | 678/57600 [07:08<10:00:00, 1.58it/s] 1%| | 679/57600 [07:09<9:47:42, 1.61it/s] 1%| | 680/57600 [07:09<9:59:14, 1.58it/s] {'loss': 1.908, 'learning_rate': 9.924738675958186e-07, 'epoch': 7.51} | |
| 1%| | 680/57600 [07:09<9:59:14, 1.58it/s] 1%| | 681/57600 [07:10<9:54:34, 1.60it/s] 1%| | 682/57600 [07:10<9:47:49, 1.61it/s] 1%| | 683/57600 [07:11<9:46:48, 1.62it/s] 1%| | 684/57600 [07:12<9:36:41, 1.64it/s] 1%| | 685/57600 [07:12<9:47:21, 1.61it/s] 1%| | 686/57600 [07:13<9:46:30, 1.62it/s] 1%| | 687/57600 [07:14<9:57:37, 1.59it/s] 1%| | 688/57600 [07:14<9:47:39, 1.61it/s] 1%| | 689/57600 [07:15<9:57:05, 1.59it/s] 1%| | 690/57600 [07:15<9:48:41, 1.61it/s] 1%| | 691/57600 [07:16<9:42:35, 1.63it/s] 1%| | 692/57600 [07:17<9:51:40, 1.60it/s] 1%| | 693/57600 [07:17<10:08:50, 1.56it/s] 1%| | 694/57600 [07:18<10:00:15, 1.58it/s] 1%| | 695/57600 [07:19<10:06:26, 1.56it/s] 1%| | 696/57600 [07:19<10:22:48, 1.52it/s] 1%| | 697/57600 [07:20<10:09:33, 1.56it/s] 1%| | 698/57600 [07:21<10:16:43, 1.54it/s] 1%| | 699/57600 [07:21<10:28:12, 1.51it/s] 1%| | 700/57600 [07:22<10:38:29, 1.49it/s] {'loss': 1.8165, 'learning_rate': 9.921602787456445e-07, 'epoch': 7.73} | |
| 1%| | 700/57600 [07:22<10:38:29, 1.49it/s] 1%| | 701/57600 [07:23<10:29:03, 1.51it/s] 1%| | 702/57600 [07:23<10:22:34, 1.52it/s] 1%| | 703/57600 [07:24<10:14:57, 1.54it/s] 1%| | 704/57600 [07:24<10:04:41, 1.57it/s] 1%| | 705/57600 [07:25<9:50:29, 1.61it/s] 1%| | 706/57600 [07:26<9:43:26, 1.63it/s] 1%| | 707/57600 [07:26<9:51:40, 1.60it/s] 1%| | 708/57600 [07:27<9:39:45, 1.64it/s] 1%| | 709/57600 [07:28<9:57:00, 1.59it/s] 1%| | 710/57600 [07:28<9:46:55, 1.62it/s] 1%| | 711/57600 [07:29<9:41:45, 1.63it/s] 1%| | 712/57600 [07:29<9:51:48, 1.60it/s] 1%| | 713/57600 [07:30<10:04:22, 1.57it/s] 1%| | 714/57600 [07:31<10:02:21, 1.57it/s] 1%| | 715/57600 [07:31<10:12:26, 1.55it/s] 1%| | 716/57600 [07:32<10:18:51, 1.53it/s] 1%| | 717/57600 [07:33<9:54:37, 1.59it/s] 1%| | 718/57600 [07:33<10:07:30, 1.56it/s] 1%| | 719/57600 [07:34<10:24:40, 1.52it/s] 1%|▏ | 720/57600 [07:35<10:23:31, 1.52it/s] {'loss': 1.7924, 'learning_rate': 9.918466898954704e-07, 'epoch': 7.95} | |
| 1%|▏ | 720/57600 [07:35<10:23:31, 1.52it/s] 1%|▏ | 721/57600 [07:35<10:13:18, 1.55it/s] 1%|▏ | 722/57600 [07:36<10:17:07, 1.54it/s] 1%|▏ | 723/57600 [07:37<10:00:07, 1.58it/s] 1%|▏ | 724/57600 [07:37<9:58:17, 1.58it/s] 1%|▏ | 725/57600 [07:38<10:32:28, 1.50it/s] 1%|▏ | 726/57600 [07:38<10:13:09, 1.55it/s] 1%|▏ | 727/57600 [07:39<10:20:27, 1.53it/s] 1%|▏ | 728/57600 [07:40<10:15:59, 1.54it/s] 1%|▏ | 729/57600 [07:40<10:16:35, 1.54it/s] 1%|▏ | 730/57600 [07:41<10:00:10, 1.58it/s] 1%|▏ | 731/57600 [07:42<10:00:40, 1.58it/s] 1%|▏ | 732/57600 [07:42<10:10:58, 1.55it/s] 1%|▏ | 733/57600 [07:43<10:13:24, 1.55it/s] 1%|▏ | 734/57600 [07:44<9:51:37, 1.60it/s] 1%|▏ | 735/57600 [07:44<9:55:08, 1.59it/s] 1%|▏ | 736/57600 [07:45<9:51:03, 1.60it/s] 1%|▏ | 737/57600 [07:45<9:41:37, 1.63it/s] 1%|▏ | 738/57600 [07:46<10:04:02, 1.57it/s] 1%|▏ | 739/57600 [07:47<10:24:55, 1.52it/s] 1%|▏ | 740/57600 [07:47<9:56:30, 1.59it/s] {'loss': 1.8275, 'learning_rate': 9.915331010452962e-07, 'epoch': 8.17} | |
| 1%|▏ | 740/57600 [07:47<9:56:30, 1.59it/s] 1%|▏ | 741/57600 [07:48<9:56:32, 1.59it/s] 1%|▏ | 742/57600 [07:49<9:41:29, 1.63it/s] 1%|▏ | 743/57600 [07:49<9:48:20, 1.61it/s] 1%|▏ | 744/57600 [07:50<9:34:46, 1.65it/s] 1%|▏ | 745/57600 [07:50<9:52:51, 1.60it/s] 1%|▏ | 746/57600 [07:51<10:06:35, 1.56it/s] 1%|▏ | 747/57600 [07:52<9:39:18, 1.64it/s] 1%|▏ | 748/57600 [07:52<9:43:34, 1.62it/s] 1%|▏ | 749/57600 [07:53<9:32:15, 1.66it/s] 1%|▏ | 750/57600 [07:53<9:31:26, 1.66it/s] 1%|▏ | 751/57600 [07:54<9:35:59, 1.64it/s] 1%|▏ | 752/57600 [07:55<10:07:19, 1.56it/s] 1%|▏ | 753/57600 [07:55<10:05:30, 1.56it/s] 1%|▏ | 754/57600 [07:56<9:51:48, 1.60it/s] 1%|▏ | 755/57600 [07:57<9:48:29, 1.61it/s] 1%|▏ | 756/57600 [07:57<10:09:23, 1.55it/s] 1%|▏ | 757/57600 [07:58<10:00:58, 1.58it/s] 1%|▏ | 758/57600 [07:59<10:06:40, 1.56it/s] 1%|▏ | 759/57600 [07:59<10:21:17, 1.52it/s] 1%|▏ | 760/57600 [08:00<10:10:34, 1.55it/s] {'loss': 1.8033, 'learning_rate': 9.912195121951219e-07, 'epoch': 8.39} | |
| 1%|▏ | 760/57600 [08:00<10:10:34, 1.55it/s] 1%|▏ | 761/57600 [08:01<9:57:09, 1.59it/s] 1%|▏ | 762/57600 [08:01<10:10:34, 1.55it/s] 1%|▏ | 763/57600 [08:02<10:30:35, 1.50it/s] 1%|▏ | 764/57600 [08:03<10:17:14, 1.53it/s] 1%|▏ | 765/57600 [08:03<10:06:08, 1.56it/s] 1%|▏ | 766/57600 [08:04<10:22:20, 1.52it/s] 1%|▏ | 767/57600 [08:05<10:25:11, 1.52it/s] 1%|▏ | 768/57600 [08:05<10:09:07, 1.56it/s] 1%|▏ | 769/57600 [08:06<9:57:07, 1.59it/s] 1%|▏ | 770/57600 [08:06<10:11:59, 1.55it/s] 1%|▏ | 771/57600 [08:07<10:00:38, 1.58it/s] 1%|▏ | 772/57600 [08:08<9:59:11, 1.58it/s] 1%|▏ | 773/57600 [08:08<9:49:17, 1.61it/s] 1%|▏ | 774/57600 [08:09<9:58:34, 1.58it/s] 1%|▏ | 775/57600 [08:09<9:43:08, 1.62it/s] 1%|▏ | 776/57600 [08:10<9:32:32, 1.65it/s] 1%|▏ | 777/57600 [08:11<9:41:10, 1.63it/s] 1%|▏ | 778/57600 [08:11<9:54:57, 1.59it/s] 1%|▏ | 779/57600 [08:12<10:04:21, 1.57it/s] 1%|▏ | 780/57600 [08:13<9:53:16, 1.60it/s] {'loss': 1.8283, 'learning_rate': 9.909059233449477e-07, 'epoch': 8.61} | |
| 1%|▏ | 780/57600 [08:13<9:53:16, 1.60it/s] 1%|▏ | 781/57600 [08:13<9:52:08, 1.60it/s] 1%|▏ | 782/57600 [08:14<9:46:51, 1.61it/s] 1%|▏ | 783/57600 [08:14<9:52:21, 1.60it/s] 1%|▏ | 784/57600 [08:15<9:59:49, 1.58it/s] 1%|▏ | 785/57600 [08:16<9:50:53, 1.60it/s] 1%|▏ | 786/57600 [08:16<9:40:15, 1.63it/s] 1%|▏ | 787/57600 [08:17<9:46:01, 1.62it/s] 1%|▏ | 788/57600 [08:18<10:12:15, 1.55it/s] 1%|▏ | 789/57600 [08:18<10:22:10, 1.52it/s] 1%|▏ | 790/57600 [08:19<10:01:57, 1.57it/s] 1%|▏ | 791/57600 [08:20<10:23:15, 1.52it/s] 1%|▏ | 792/57600 [08:20<10:03:59, 1.57it/s] 1%|▏ | 793/57600 [08:21<9:47:12, 1.61it/s] 1%|▏ | 794/57600 [08:21<9:39:23, 1.63it/s] 1%|▏ | 795/57600 [08:22<9:29:52, 1.66it/s] 1%|▏ | 796/57600 [08:23<9:45:18, 1.62it/s] 1%|▏ | 797/57600 [08:23<9:34:34, 1.65it/s] 1%|▏ | 798/57600 [08:24<9:59:53, 1.58it/s] 1%|▏ | 799/57600 [08:25<9:50:52, 1.60it/s] 1%|▏ | 800/57600 [08:25<9:46:28, 1.61it/s] {'loss': 1.8361, 'learning_rate': 9.905923344947734e-07, 'epoch': 8.83} | |
| 1%|▏ | 800/57600 [08:25<9:46:28, 1.61it/s] 1%|▏ | 801/57600 [08:26<9:47:10, 1.61it/s] 1%|▏ | 802/57600 [08:26<10:08:33, 1.56it/s] 1%|▏ | 803/57600 [08:27<10:06:14, 1.56it/s] 1%|▏ | 804/57600 [08:28<10:04:38, 1.57it/s] 1%|▏ | 805/57600 [08:28<9:53:02, 1.60it/s] 1%|▏ | 806/57600 [08:29<9:43:10, 1.62it/s] 1%|▏ | 807/57600 [08:30<9:37:09, 1.64it/s] 1%|▏ | 808/57600 [08:30<9:40:27, 1.63it/s] 1%|▏ | 809/57600 [08:31<9:36:43, 1.64it/s] 1%|▏ | 810/57600 [08:31<9:51:59, 1.60it/s] 1%|▏ | 811/57600 [08:32<10:16:44, 1.53it/s] 1%|▏ | 812/57600 [08:33<10:04:15, 1.57it/s] 1%|▏ | 813/57600 [08:33<10:11:37, 1.55it/s] 1%|▏ | 814/57600 [08:34<10:13:49, 1.54it/s] 1%|▏ | 815/57600 [08:35<10:12:47, 1.54it/s] 1%|▏ | 816/57600 [08:35<10:24:01, 1.52it/s] 1%|▏ | 817/57600 [08:36<10:15:44, 1.54it/s] 1%|▏ | 818/57600 [08:37<10:06:10, 1.56it/s] 1%|▏ | 819/57600 [08:37<10:03:28, 1.57it/s] 1%|▏ | 820/57600 [08:38<9:54:42, 1.59it/s] {'loss': 1.8264, 'learning_rate': 9.902787456445992e-07, 'epoch': 9.05} | |
| 1%|▏ | 820/57600 [08:38<9:54:42, 1.59it/s] 1%|▏ | 821/57600 [08:38<9:52:35, 1.60it/s] 1%|▏ | 822/57600 [08:39<9:56:20, 1.59it/s] 1%|▏ | 823/57600 [08:40<9:46:21, 1.61it/s] 1%|▏ | 824/57600 [08:40<10:33:32, 1.49it/s] 1%|▏ | 825/57600 [08:41<10:26:54, 1.51it/s] 1%|▏ | 826/57600 [08:42<10:18:15, 1.53it/s] 1%|▏ | 827/57600 [08:42<9:55:39, 1.59it/s] 1%|▏ | 828/57600 [08:43<9:43:10, 1.62it/s] 1%|▏ | 829/57600 [08:44<10:02:50, 1.57it/s] 1%|▏ | 830/57600 [08:44<9:51:43, 1.60it/s] 1%|▏ | 831/57600 [08:45<9:41:08, 1.63it/s] 1%|▏ | 832/57600 [08:45<9:50:36, 1.60it/s] 1%|▏ | 833/57600 [08:46<9:48:03, 1.61it/s] 1%|▏ | 834/57600 [08:47<9:39:50, 1.63it/s] 1%|▏ | 835/57600 [08:47<10:02:43, 1.57it/s] 1%|▏ | 836/57600 [08:48<10:10:22, 1.55it/s] 1%|▏ | 837/57600 [08:49<9:50:35, 1.60it/s] 1%|▏ | 838/57600 [08:49<9:40:44, 1.63it/s] 1%|▏ | 839/57600 [08:50<9:47:38, 1.61it/s] 1%|▏ | 840/57600 [08:50<9:43:03, 1.62it/s] {'loss': 1.8157, 'learning_rate': 9.89965156794425e-07, 'epoch': 9.27} | |
| 1%|▏ | 840/57600 [08:50<9:43:03, 1.62it/s] 1%|▏ | 841/57600 [08:51<9:54:35, 1.59it/s] 1%|▏ | 842/57600 [08:52<9:55:47, 1.59it/s] 1%|▏ | 843/57600 [08:52<9:48:19, 1.61it/s] 1%|▏ | 844/57600 [08:53<9:58:26, 1.58it/s] 1%|▏ | 845/57600 [08:54<10:13:57, 1.54it/s] 1%|▏ | 846/57600 [08:54<10:10:54, 1.55it/s] 1%|▏ | 847/57600 [08:55<10:16:35, 1.53it/s] 1%|▏ | 848/57600 [08:56<9:59:26, 1.58it/s] 1%|▏ | 849/57600 [08:56<10:10:19, 1.55it/s] 1%|▏ | 850/57600 [08:57<9:52:38, 1.60it/s] 1%|▏ | 851/57600 [08:57<9:52:43, 1.60it/s] 1%|▏ | 852/57600 [08:58<10:02:48, 1.57it/s] 1%|▏ | 853/57600 [08:59<10:02:29, 1.57it/s] 1%|▏ | 854/57600 [08:59<10:16:21, 1.53it/s] 1%|▏ | 855/57600 [09:00<9:56:47, 1.58it/s] 1%|▏ | 856/57600 [09:01<9:48:50, 1.61it/s] 1%|▏ | 857/57600 [09:01<9:42:11, 1.62it/s] 1%|▏ | 858/57600 [09:02<9:28:02, 1.66it/s] 1%|▏ | 859/57600 [09:02<9:32:51, 1.65it/s] 1%|▏ | 860/57600 [09:03<10:08:39, 1.55it/s] {'loss': 1.8038, 'learning_rate': 9.89651567944251e-07, 'epoch': 9.49} | |
| 1%|▏ | 860/57600 [09:03<10:08:39, 1.55it/s] 1%|▏ | 861/57600 [09:04<10:31:50, 1.50it/s] 1%|▏ | 862/57600 [09:04<10:26:41, 1.51it/s] 1%|▏ | 863/57600 [09:05<10:18:27, 1.53it/s] 2%|▏ | 864/57600 [09:06<10:14:59, 1.54it/s] 2%|▏ | 865/57600 [09:06<9:56:33, 1.59it/s] 2%|▏ | 866/57600 [09:07<9:44:25, 1.62it/s] 2%|▏ | 867/57600 [09:08<9:37:56, 1.64it/s] 2%|▏ | 868/57600 [09:08<9:23:53, 1.68it/s] 2%|▏ | 869/57600 [09:09<9:41:17, 1.63it/s] 2%|▏ | 870/57600 [09:09<10:06:24, 1.56it/s] 2%|▏ | 871/57600 [09:10<9:54:35, 1.59it/s] 2%|▏ | 872/57600 [09:11<10:09:17, 1.55it/s] 2%|▏ | 873/57600 [09:11<10:07:59, 1.56it/s] 2%|▏ | 874/57600 [09:12<10:17:34, 1.53it/s] 2%|▏ | 875/57600 [09:13<10:24:48, 1.51it/s] 2%|▏ | 876/57600 [09:13<10:03:00, 1.57it/s] 2%|▏ | 877/57600 [09:14<9:45:30, 1.61it/s] 2%|▏ | 878/57600 [09:15<9:47:36, 1.61it/s] 2%|▏ | 879/57600 [09:15<9:38:07, 1.64it/s] 2%|▏ | 880/57600 [09:16<9:33:48, 1.65it/s] {'loss': 1.8495, 'learning_rate': 9.893379790940768e-07, 'epoch': 9.71} | |
| 2%|▏ | 880/57600 [09:16<9:33:48, 1.65it/s] 2%|▏ | 881/57600 [09:16<9:41:59, 1.62it/s] 2%|▏ | 882/57600 [09:17<9:29:14, 1.66it/s] 2%|▏ | 883/57600 [09:17<9:21:48, 1.68it/s] 2%|▏ | 884/57600 [09:18<9:34:06, 1.65it/s] 2%|▏ | 885/57600 [09:19<9:51:54, 1.60it/s] 2%|▏ | 886/57600 [09:19<9:45:03, 1.62it/s] 2%|▏ | 887/57600 [09:20<9:37:07, 1.64it/s] 2%|▏ | 888/57600 [09:21<9:35:12, 1.64it/s] 2%|▏ | 889/57600 [09:21<9:25:40, 1.67it/s] 2%|▏ | 890/57600 [09:22<9:44:51, 1.62it/s] 2%|▏ | 891/57600 [09:22<9:53:01, 1.59it/s] 2%|▏ | 892/57600 [09:23<10:04:21, 1.56it/s] 2%|▏ | 893/57600 [09:24<10:23:08, 1.52it/s] 2%|▏ | 894/57600 [09:25<10:31:56, 1.50it/s] 2%|▏ | 895/57600 [09:25<10:28:01, 1.50it/s] 2%|▏ | 896/57600 [09:26<10:25:10, 1.51it/s] 2%|▏ | 897/57600 [09:27<10:23:39, 1.52it/s] 2%|▏ | 898/57600 [09:27<10:22:35, 1.52it/s] 2%|▏ | 899/57600 [09:28<10:07:19, 1.56it/s] 2%|▏ | 900/57600 [09:28<10:04:26, 1.56it/s] {'loss': 1.8379, 'learning_rate': 9.890243902439024e-07, 'epoch': 9.93} | |
| 2%|▏ | 900/57600 [09:28<10:04:26, 1.56it/s] 2%|▏ | 901/57600 [09:29<9:59:56, 1.58it/s] 2%|▏ | 902/57600 [09:30<9:47:50, 1.61it/s] 2%|▏ | 903/57600 [09:30<10:09:58, 1.55it/s] 2%|▏ | 904/57600 [09:31<9:53:47, 1.59it/s] 2%|▏ | 905/57600 [09:31<9:33:18, 1.65it/s] 2%|▏ | 906/57600 [09:32<9:40:16, 1.63it/s] 2%|▏ | 907/57600 [09:33<9:57:48, 1.58it/s] 2%|▏ | 908/57600 [09:33<9:55:27, 1.59it/s] 2%|▏ | 909/57600 [09:34<9:47:33, 1.61it/s] 2%|▏ | 910/57600 [09:35<9:36:55, 1.64it/s] 2%|▏ | 911/57600 [09:35<9:30:48, 1.66it/s] 2%|▏ | 912/57600 [09:36<9:45:35, 1.61it/s] 2%|▏ | 913/57600 [09:36<9:58:29, 1.58it/s] 2%|▏ | 914/57600 [09:37<9:51:32, 1.60it/s] 2%|▏ | 915/57600 [09:38<10:06:08, 1.56it/s] 2%|▏ | 916/57600 [09:38<10:11:07, 1.55it/s] 2%|▏ | 917/57600 [09:39<10:18:19, 1.53it/s] 2%|▏ | 918/57600 [09:40<9:55:57, 1.59it/s] 2%|▏ | 919/57600 [09:40<9:38:53, 1.63it/s] 2%|▏ | 920/57600 [09:41<10:01:53, 1.57it/s] {'loss': 1.807, 'learning_rate': 9.88710801393728e-07, 'epoch': 10.15} | |
| 2%|▏ | 920/57600 [09:41<10:01:53, 1.57it/s] 2%|▏ | 921/57600 [09:42<10:08:05, 1.55it/s] 2%|▏ | 922/57600 [09:42<9:53:56, 1.59it/s] 2%|▏ | 923/57600 [09:43<9:45:29, 1.61it/s] 2%|▏ | 924/57600 [09:44<10:09:28, 1.55it/s] 2%|▏ | 925/57600 [09:44<9:53:33, 1.59it/s] 2%|▏ | 926/57600 [09:45<9:40:41, 1.63it/s] 2%|▏ | 927/57600 [09:45<10:24:01, 1.51it/s] 2%|▏ | 928/57600 [09:46<10:34:23, 1.49it/s] 2%|▏ | 929/57600 [09:47<10:32:19, 1.49it/s] 2%|▏ | 930/57600 [09:47<10:18:44, 1.53it/s] 2%|▏ | 931/57600 [09:48<10:07:23, 1.55it/s] 2%|▏ | 932/57600 [09:49<9:54:44, 1.59it/s] 2%|▏ | 933/57600 [09:49<9:39:21, 1.63it/s] 2%|▏ | 934/57600 [09:50<9:54:00, 1.59it/s] 2%|▏ | 935/57600 [09:50<9:36:29, 1.64it/s] 2%|▏ | 936/57600 [09:51<9:36:12, 1.64it/s] 2%|▏ | 937/57600 [09:52<9:33:41, 1.65it/s] 2%|▏ | 938/57600 [09:52<9:54:04, 1.59it/s] 2%|▏ | 939/57600 [09:53<9:56:10, 1.58it/s] 2%|▏ | 940/57600 [09:54<10:15:55, 1.53it/s] {'loss': 1.7354, 'learning_rate': 9.88397212543554e-07, 'epoch': 10.38} | |
| 2%|▏ | 940/57600 [09:54<10:15:55, 1.53it/s] 2%|▏ | 941/57600 [09:54<10:09:41, 1.55it/s] 2%|▏ | 942/57600 [09:55<10:15:16, 1.53it/s] 2%|▏ | 943/57600 [09:56<10:04:47, 1.56it/s] 2%|▏ | 944/57600 [09:56<10:07:38, 1.55it/s] 2%|▏ | 945/57600 [09:57<10:07:40, 1.55it/s] 2%|▏ | 946/57600 [09:57<9:49:43, 1.60it/s] 2%|▏ | 947/57600 [09:58<9:51:47, 1.60it/s] 2%|▏ | 948/57600 [09:59<9:52:13, 1.59it/s] 2%|▏ | 949/57600 [09:59<9:44:19, 1.62it/s] 2%|▏ | 950/57600 [10:00<9:46:42, 1.61it/s] 2%|▏ | 951/57600 [10:01<9:33:15, 1.65it/s] 2%|▏ | 952/57600 [10:01<9:38:58, 1.63it/s] 2%|▏ | 953/57600 [10:02<9:32:08, 1.65it/s] 2%|▏ | 954/57600 [10:02<9:24:55, 1.67it/s] 2%|▏ | 955/57600 [10:03<9:25:30, 1.67it/s] 2%|▏ | 956/57600 [10:04<9:44:50, 1.61it/s] 2%|▏ | 957/57600 [10:04<9:46:30, 1.61it/s] 2%|▏ | 958/57600 [10:05<10:10:03, 1.55it/s] 2%|▏ | 959/57600 [10:06<10:08:12, 1.55it/s] 2%|▏ | 960/57600 [10:06<9:58:02, 1.58it/s] {'loss': 1.7909, 'learning_rate': 9.880836236933798e-07, 'epoch': 10.6} | |
| 2%|▏ | 960/57600 [10:06<9:58:02, 1.58it/s] 2%|▏ | 961/57600 [10:07<9:59:02, 1.58it/s] 2%|▏ | 962/57600 [10:07<10:09:15, 1.55it/s] 2%|▏ | 963/57600 [10:08<9:56:28, 1.58it/s] 2%|▏ | 964/57600 [10:09<9:57:04, 1.58it/s] 2%|▏ | 965/57600 [10:09<10:04:47, 1.56it/s] 2%|▏ | 966/57600 [10:10<10:20:54, 1.52it/s] 2%|▏ | 967/57600 [10:11<10:18:48, 1.53it/s] 2%|▏ | 968/57600 [10:11<10:04:19, 1.56it/s] 2%|▏ | 969/57600 [10:12<9:53:09, 1.59it/s] 2%|▏ | 970/57600 [10:13<10:06:43, 1.56it/s] 2%|▏ | 971/57600 [10:13<10:13:47, 1.54it/s] 2%|▏ | 972/57600 [10:14<9:56:19, 1.58it/s] 2%|▏ | 973/57600 [10:15<9:58:32, 1.58it/s] 2%|▏ | 974/57600 [10:15<9:46:58, 1.61it/s] 2%|▏ | 975/57600 [10:16<9:53:59, 1.59it/s] 2%|▏ | 976/57600 [10:16<9:50:43, 1.60it/s] 2%|▏ | 977/57600 [10:17<9:51:07, 1.60it/s] 2%|▏ | 978/57600 [10:18<9:42:17, 1.62it/s] 2%|▏ | 979/57600 [10:18<9:45:50, 1.61it/s] 2%|▏ | 980/57600 [10:19<9:57:38, 1.58it/s] {'loss': 1.8504, 'learning_rate': 9.877700348432054e-07, 'epoch': 10.82} | |
| 2%|▏ | 980/57600 [10:19<9:57:38, 1.58it/s] 2%|▏ | 981/57600 [10:19<9:44:16, 1.62it/s] 2%|▏ | 982/57600 [10:20<9:43:36, 1.62it/s] 2%|▏ | 983/57600 [10:21<9:49:49, 1.60it/s] 2%|▏ | 984/57600 [10:21<10:12:34, 1.54it/s] 2%|▏ | 985/57600 [10:22<9:57:38, 1.58it/s] 2%|▏ | 986/57600 [10:23<9:56:44, 1.58it/s] 2%|▏ | 987/57600 [10:23<10:03:45, 1.56it/s] 2%|▏ | 988/57600 [10:24<10:30:06, 1.50it/s] 2%|▏ | 989/57600 [10:25<10:22:19, 1.52it/s] 2%|▏ | 990/57600 [10:25<10:08:57, 1.55it/s] 2%|▏ | 991/57600 [10:26<10:01:31, 1.57it/s] 2%|▏ | 992/57600 [10:27<9:48:45, 1.60it/s] 2%|▏ | 993/57600 [10:27<9:46:51, 1.61it/s] 2%|▏ | 994/57600 [10:28<9:53:35, 1.59it/s] 2%|▏ | 995/57600 [10:28<9:52:13, 1.59it/s] 2%|▏ | 996/57600 [10:29<9:41:22, 1.62it/s] 2%|▏ | 997/57600 [10:30<10:22:29, 1.52it/s] 2%|▏ | 998/57600 [10:30<10:26:44, 1.51it/s] 2%|▏ | 999/57600 [10:31<10:25:56, 1.51it/s] 2%|▏ | 1000/57600 [10:32<10:12:04, 1.54it/s] {'loss': 1.7565, 'learning_rate': 9.874564459930313e-07, 'epoch': 11.04} | |
| 2%|▏ | 1000/57600 [10:32<10:12:04, 1.54it/s] 2%|▏ | 1001/57600 [10:32<9:52:29, 1.59it/s] 2%|▏ | 1002/57600 [10:33<9:32:07, 1.65it/s] 2%|▏ | 1003/57600 [10:33<9:36:49, 1.64it/s] 2%|▏ | 1004/57600 [10:34<9:30:57, 1.65it/s] 2%|▏ | 1005/57600 [10:35<9:33:09, 1.65it/s] 2%|▏ | 1006/57600 [10:35<9:46:37, 1.61it/s] 2%|▏ | 1007/57600 [10:36<9:41:20, 1.62it/s] 2%|▏ | 1008/57600 [10:37<10:01:29, 1.57it/s] 2%|▏ | 1009/57600 [10:37<9:38:57, 1.63it/s] 2%|▏ | 1010/57600 [10:38<10:16:03, 1.53it/s] 2%|▏ | 1011/57600 [10:38<9:55:30, 1.58it/s] 2%|▏ | 1012/57600 [10:39<10:02:53, 1.56it/s] 2%|▏ | 1013/57600 [10:40<9:54:29, 1.59it/s] 2%|▏ | 1014/57600 [10:40<10:12:57, 1.54it/s] 2%|▏ | 1015/57600 [10:41<10:04:11, 1.56it/s] 2%|▏ | 1016/57600 [10:42<9:47:57, 1.60it/s] 2%|▏ | 1017/57600 [10:42<9:52:39, 1.59it/s] 2%|▏ | 1018/57600 [10:43<9:29:05, 1.66it/s] 2%|▏ | 1019/57600 [10:43<9:40:17, 1.63it/s] 2%|▏ | 1020/57600 [10:44<9:40:24, 1.62it/s] {'loss': 1.8464, 'learning_rate': 9.871428571428572e-07, 'epoch': 11.26} | |
| 2%|▏ | 1020/57600 [10:44<9:40:24, 1.62it/s] 2%|▏ | 1021/57600 [10:45<9:49:39, 1.60it/s] 2%|▏ | 1022/57600 [10:45<9:47:37, 1.60it/s] 2%|▏ | 1023/57600 [10:46<9:49:37, 1.60it/s] 2%|▏ | 1024/57600 [10:47<10:22:32, 1.51it/s] 2%|▏ | 1025/57600 [10:47<10:21:51, 1.52it/s] 2%|▏ | 1026/57600 [10:48<10:29:13, 1.50it/s] 2%|▏ | 1027/57600 [10:49<10:29:58, 1.50it/s] 2%|▏ | 1028/57600 [10:49<10:18:56, 1.52it/s] 2%|▏ | 1029/57600 [10:50<10:17:55, 1.53it/s] 2%|▏ | 1030/57600 [10:51<10:00:11, 1.57it/s] 2%|▏ | 1031/57600 [10:51<9:56:18, 1.58it/s] 2%|▏ | 1032/57600 [10:52<9:57:41, 1.58it/s] 2%|▏ | 1033/57600 [10:53<10:23:52, 1.51it/s] 2%|▏ | 1034/57600 [10:53<10:28:36, 1.50it/s] 2%|▏ | 1035/57600 [10:54<10:17:03, 1.53it/s] 2%|▏ | 1036/57600 [10:55<10:00:55, 1.57it/s] 2%|▏ | 1037/57600 [10:55<9:59:52, 1.57it/s] 2%|▏ | 1038/57600 [10:56<9:56:45, 1.58it/s] 2%|▏ | 1039/57600 [10:56<9:46:25, 1.61it/s] 2%|▏ | 1040/57600 [10:57<9:45:34, 1.61it/s] {'loss': 1.7463, 'learning_rate': 9.868292682926828e-07, 'epoch': 11.48} | |
| 2%|▏ | 1040/57600 [10:57<9:45:34, 1.61it/s] 2%|▏ | 1041/57600 [10:58<9:38:44, 1.63it/s] 2%|▏ | 1042/57600 [10:58<9:26:52, 1.66it/s] 2%|▏ | 1043/57600 [10:59<9:28:03, 1.66it/s] 2%|▏ | 1044/57600 [10:59<9:43:50, 1.61it/s] 2%|▏ | 1045/57600 [11:00<9:43:25, 1.62it/s] 2%|▏ | 1046/57600 [11:01<9:31:51, 1.65it/s] 2%|▏ | 1047/57600 [11:01<9:39:20, 1.63it/s] 2%|▏ | 1048/57600 [11:02<9:59:16, 1.57it/s] 2%|▏ | 1049/57600 [11:03<9:47:47, 1.60it/s] 2%|▏ | 1050/57600 [11:03<9:43:13, 1.62it/s] 2%|▏ | 1051/57600 [11:04<10:00:55, 1.57it/s] 2%|▏ | 1052/57600 [11:04<9:52:39, 1.59it/s] 2%|▏ | 1053/57600 [11:05<10:26:16, 1.50it/s] 2%|▏ | 1054/57600 [11:06<10:41:37, 1.47it/s] 2%|▏ | 1055/57600 [11:06<10:10:46, 1.54it/s] 2%|▏ | 1056/57600 [11:07<10:01:20, 1.57it/s] 2%|▏ | 1057/57600 [11:08<9:44:55, 1.61it/s] 2%|▏ | 1058/57600 [11:08<9:48:05, 1.60it/s] 2%|▏ | 1059/57600 [11:09<10:01:57, 1.57it/s] 2%|▏ | 1060/57600 [11:10<9:53:29, 1.59it/s] {'loss': 1.8286, 'learning_rate': 9.865156794425087e-07, 'epoch': 11.7} | |
| 2%|▏ | 1060/57600 [11:10<9:53:29, 1.59it/s] 2%|▏ | 1061/57600 [11:10<9:55:38, 1.58it/s] 2%|▏ | 1062/57600 [11:11<9:55:19, 1.58it/s] 2%|▏ | 1063/57600 [11:11<9:43:29, 1.61it/s] 2%|▏ | 1064/57600 [11:12<9:50:59, 1.59it/s] 2%|▏ | 1065/57600 [11:13<9:33:54, 1.64it/s] 2%|▏ | 1066/57600 [11:13<9:49:05, 1.60it/s] 2%|▏ | 1067/57600 [11:14<9:34:33, 1.64it/s] 2%|▏ | 1068/57600 [11:15<9:40:28, 1.62it/s] 2%|▏ | 1069/57600 [11:15<9:27:59, 1.66it/s] 2%|▏ | 1070/57600 [11:16<9:32:30, 1.65it/s] 2%|▏ | 1071/57600 [11:16<10:01:43, 1.57it/s] 2%|▏ | 1072/57600 [11:17<9:49:36, 1.60it/s] 2%|▏ | 1073/57600 [11:18<9:50:02, 1.60it/s] 2%|▏ | 1074/57600 [11:18<9:46:32, 1.61it/s] 2%|▏ | 1075/57600 [11:19<9:56:01, 1.58it/s] 2%|▏ | 1076/57600 [11:19<9:41:24, 1.62it/s] 2%|▏ | 1077/57600 [11:20<9:56:16, 1.58it/s] 2%|▏ | 1078/57600 [11:21<9:57:52, 1.58it/s] 2%|▏ | 1079/57600 [11:21<9:58:42, 1.57it/s] 2%|▏ | 1080/57600 [11:22<9:52:38, 1.59it/s] {'loss': 1.7821, 'learning_rate': 9.862020905923345e-07, 'epoch': 11.92} | |
| 2%|▏ | 1080/57600 [11:22<9:52:38, 1.59it/s] 2%|▏ | 1081/57600 [11:23<9:49:55, 1.60it/s] 2%|▏ | 1082/57600 [11:23<9:39:19, 1.63it/s] 2%|▏ | 1083/57600 [11:24<9:58:12, 1.57it/s] 2%|▏ | 1084/57600 [11:25<9:46:24, 1.61it/s] 2%|▏ | 1085/57600 [11:25<9:32:13, 1.65it/s] 2%|▏ | 1086/57600 [11:26<9:53:20, 1.59it/s] 2%|▏ | 1087/57600 [11:26<9:41:31, 1.62it/s] 2%|▏ | 1088/57600 [11:27<9:52:24, 1.59it/s] 2%|▏ | 1089/57600 [11:28<9:37:25, 1.63it/s] 2%|▏ | 1090/57600 [11:28<9:40:18, 1.62it/s] 2%|▏ | 1091/57600 [11:29<9:44:43, 1.61it/s] 2%|▏ | 1092/57600 [11:29<9:45:58, 1.61it/s] 2%|▏ | 1093/57600 [11:30<9:45:22, 1.61it/s] 2%|▏ | 1094/57600 [11:31<10:24:17, 1.51it/s] 2%|▏ | 1095/57600 [11:31<10:02:05, 1.56it/s] 2%|▏ | 1096/57600 [11:32<9:52:42, 1.59it/s] 2%|▏ | 1097/57600 [11:33<9:56:34, 1.58it/s] 2%|▏ | 1098/57600 [11:33<10:06:08, 1.55it/s] 2%|▏ | 1099/57600 [11:34<10:19:47, 1.52it/s] 2%|▏ | 1100/57600 [11:35<10:09:06, 1.55it/s] {'loss': 1.8069, 'learning_rate': 9.858885017421604e-07, 'epoch': 12.14} | |
| 2%|▏ | 1100/57600 [11:35<10:09:06, 1.55it/s] 2%|▏ | 1101/57600 [11:35<10:04:12, 1.56it/s] 2%|▏ | 1102/57600 [11:36<10:20:13, 1.52it/s] 2%|▏ | 1103/57600 [11:37<10:06:45, 1.55it/s] 2%|▏ | 1104/57600 [11:37<9:49:33, 1.60it/s] 2%|▏ | 1105/57600 [11:38<9:38:07, 1.63it/s] 2%|▏ | 1106/57600 [11:38<9:56:27, 1.58it/s] 2%|▏ | 1107/57600 [11:39<10:22:34, 1.51it/s] 2%|▏ | 1108/57600 [11:40<10:13:32, 1.53it/s] 2%|▏ | 1109/57600 [11:40<10:10:33, 1.54it/s] 2%|▏ | 1110/57600 [11:41<10:10:39, 1.54it/s] 2%|▏ | 1111/57600 [11:42<10:18:20, 1.52it/s] 2%|▏ | 1112/57600 [11:42<10:13:15, 1.54it/s] 2%|▏ | 1113/57600 [11:43<10:02:58, 1.56it/s] 2%|▏ | 1114/57600 [11:44<10:02:03, 1.56it/s] 2%|▏ | 1115/57600 [11:44<9:58:27, 1.57it/s] 2%|▏ | 1116/57600 [11:45<9:59:53, 1.57it/s] 2%|▏ | 1117/57600 [11:46<9:58:08, 1.57it/s] 2%|▏ | 1118/57600 [11:46<10:07:58, 1.55it/s] 2%|▏ | 1119/57600 [11:47<9:51:08, 1.59it/s] 2%|▏ | 1120/57600 [11:47<9:59:11, 1.57it/s] {'loss': 1.7943, 'learning_rate': 9.85574912891986e-07, 'epoch': 12.36} | |
| 2%|▏ | 1120/57600 [11:47<9:59:11, 1.57it/s] 2%|▏ | 1121/57600 [11:48<9:50:51, 1.59it/s] 2%|▏ | 1122/57600 [11:49<9:58:04, 1.57it/s] 2%|▏ | 1123/57600 [11:49<9:50:10, 1.59it/s] 2%|▏ | 1124/57600 [11:50<9:46:50, 1.60it/s] 2%|▏ | 1125/57600 [11:51<9:43:44, 1.61it/s] 2%|▏ | 1126/57600 [11:51<9:49:23, 1.60it/s] 2%|▏ | 1127/57600 [11:52<10:01:06, 1.57it/s] 2%|▏ | 1128/57600 [11:52<9:50:21, 1.59it/s] 2%|▏ | 1129/57600 [11:53<10:11:28, 1.54it/s] 2%|▏ | 1130/57600 [11:54<10:01:05, 1.57it/s] 2%|▏ | 1131/57600 [11:54<9:52:29, 1.59it/s] 2%|▏ | 1132/57600 [11:55<10:27:28, 1.50it/s] 2%|▏ | 1133/57600 [11:56<10:13:46, 1.53it/s] 2%|▏ | 1134/57600 [11:56<9:43:42, 1.61it/s] 2%|▏ | 1135/57600 [11:57<9:42:01, 1.62it/s] 2%|▏ | 1136/57600 [11:58<9:30:11, 1.65it/s] 2%|▏ | 1137/57600 [11:58<9:49:07, 1.60it/s] 2%|▏ | 1138/57600 [11:59<9:49:30, 1.60it/s] 2%|▏ | 1139/57600 [11:59<9:50:01, 1.59it/s] 2%|▏ | 1140/57600 [12:00<9:49:58, 1.59it/s] {'loss': 1.7535, 'learning_rate': 9.852613240418117e-07, 'epoch': 12.58} | |
| 2%|▏ | 1140/57600 [12:00<9:49:58, 1.59it/s] 2%|▏ | 1141/57600 [12:01<10:00:08, 1.57it/s] 2%|▏ | 1142/57600 [12:01<10:19:40, 1.52it/s] 2%|▏ | 1143/57600 [12:02<10:05:44, 1.55it/s] 2%|▏ | 1144/57600 [12:03<10:16:45, 1.53it/s] 2%|▏ | 1145/57600 [12:03<10:09:37, 1.54it/s] 2%|▏ | 1146/57600 [12:04<10:21:11, 1.51it/s] 2%|▏ | 1147/57600 [12:05<9:58:37, 1.57it/s] 2%|▏ | 1148/57600 [12:05<10:15:53, 1.53it/s] 2%|▏ | 1149/57600 [12:06<10:09:12, 1.54it/s] 2%|▏ | 1150/57600 [12:07<10:14:05, 1.53it/s] 2%|▏ | 1151/57600 [12:07<9:58:51, 1.57it/s] 2%|▏ | 1152/57600 [12:08<9:53:00, 1.59it/s] 2%|▏ | 1153/57600 [12:08<9:44:36, 1.61it/s] 2%|▏ | 1154/57600 [12:09<9:37:05, 1.63it/s] 2%|▏ | 1155/57600 [12:10<10:01:59, 1.56it/s] 2%|▏ | 1156/57600 [12:10<9:54:28, 1.58it/s] 2%|▏ | 1157/57600 [12:11<9:44:57, 1.61it/s] 2%|▏ | 1158/57600 [12:12<9:32:16, 1.64it/s] 2%|▏ | 1159/57600 [12:12<9:23:28, 1.67it/s] 2%|▏ | 1160/57600 [12:13<9:28:18, 1.66it/s] {'loss': 1.7881, 'learning_rate': 9.849477351916375e-07, 'epoch': 12.8} | |
| 2%|▏ | 1160/57600 [12:13<9:28:18, 1.66it/s] 2%|▏ | 1161/57600 [12:13<9:32:50, 1.64it/s] 2%|▏ | 1162/57600 [12:14<9:39:27, 1.62it/s] 2%|▏ | 1163/57600 [12:15<9:46:56, 1.60it/s] 2%|▏ | 1164/57600 [12:15<9:51:54, 1.59it/s] 2%|▏ | 1165/57600 [12:16<9:44:44, 1.61it/s] 2%|▏ | 1166/57600 [12:17<9:57:13, 1.57it/s] 2%|▏ | 1167/57600 [12:17<10:00:16, 1.57it/s] 2%|▏ | 1168/57600 [12:18<9:57:29, 1.57it/s] 2%|▏ | 1169/57600 [12:18<9:53:06, 1.59it/s] 2%|▏ | 1170/57600 [12:19<9:35:15, 1.63it/s] 2%|▏ | 1171/57600 [12:20<9:56:07, 1.58it/s] 2%|▏ | 1172/57600 [12:20<9:55:13, 1.58it/s] 2%|▏ | 1173/57600 [12:21<9:53:38, 1.58it/s] 2%|▏ | 1174/57600 [12:22<9:44:32, 1.61it/s] 2%|▏ | 1175/57600 [12:22<9:42:30, 1.61it/s] 2%|▏ | 1176/57600 [12:23<10:04:17, 1.56it/s] 2%|▏ | 1177/57600 [12:23<9:55:38, 1.58it/s] 2%|▏ | 1178/57600 [12:24<10:11:38, 1.54it/s] 2%|▏ | 1179/57600 [12:25<10:04:27, 1.56it/s] 2%|▏ | 1180/57600 [12:26<10:32:23, 1.49it/s] {'loss': 1.815, 'learning_rate': 9.846341463414634e-07, 'epoch': 13.02} | |
| 2%|▏ | 1180/57600 [12:26<10:32:23, 1.49it/s] 2%|▏ | 1181/57600 [12:26<10:19:30, 1.52it/s] 2%|▏ | 1182/57600 [12:27<10:09:18, 1.54it/s] 2%|▏ | 1183/57600 [12:27<10:07:44, 1.55it/s] 2%|▏ | 1184/57600 [12:28<9:52:36, 1.59it/s] 2%|▏ | 1185/57600 [12:29<9:40:31, 1.62it/s] 2%|▏ | 1186/57600 [12:29<9:31:39, 1.64it/s] 2%|▏ | 1187/57600 [12:30<10:00:13, 1.57it/s] 2%|▏ | 1188/57600 [12:31<9:55:39, 1.58it/s] 2%|▏ | 1189/57600 [12:31<9:48:59, 1.60it/s] 2%|▏ | 1190/57600 [12:32<9:51:55, 1.59it/s] 2%|▏ | 1191/57600 [12:32<10:14:43, 1.53it/s] 2%|▏ | 1192/57600 [12:33<9:59:32, 1.57it/s] 2%|▏ | 1193/57600 [12:34<9:49:51, 1.59it/s] 2%|▏ | 1194/57600 [12:34<9:46:53, 1.60it/s] 2%|▏ | 1195/57600 [12:35<9:42:53, 1.61it/s] 2%|▏ | 1196/57600 [12:36<9:41:50, 1.62it/s] 2%|▏ | 1197/57600 [12:36<9:35:48, 1.63it/s] 2%|▏ | 1198/57600 [12:37<9:24:06, 1.67it/s] 2%|▏ | 1199/57600 [12:37<9:26:23, 1.66it/s] 2%|▏ | 1200/57600 [12:38<9:13:21, 1.70it/s] {'loss': 1.8258, 'learning_rate': 9.843205574912892e-07, 'epoch': 13.25} | |
| 2%|▏ | 1200/57600 [12:38<9:13:21, 1.70it/s] 2%|▏ | 1201/57600 [12:38<9:22:25, 1.67it/s] 2%|▏ | 1202/57600 [12:39<9:41:50, 1.62it/s] 2%|▏ | 1203/57600 [12:40<9:39:09, 1.62it/s] 2%|▏ | 1204/57600 [12:40<9:46:19, 1.60it/s] 2%|▏ | 1205/57600 [12:41<9:40:34, 1.62it/s] 2%|▏ | 1206/57600 [12:42<9:39:15, 1.62it/s] 2%|▏ | 1207/57600 [12:42<9:32:57, 1.64it/s] 2%|▏ | 1208/57600 [12:43<9:39:56, 1.62it/s] 2%|▏ | 1209/57600 [12:43<9:38:39, 1.62it/s] 2%|▏ | 1210/57600 [12:44<9:39:03, 1.62it/s] 2%|▏ | 1211/57600 [12:45<9:46:46, 1.60it/s] 2%|▏ | 1212/57600 [12:45<10:09:32, 1.54it/s] 2%|▏ | 1213/57600 [12:46<10:06:26, 1.55it/s] 2%|▏ | 1214/57600 [12:47<9:49:22, 1.59it/s] 2%|▏ | 1215/57600 [12:47<10:01:01, 1.56it/s] 2%|▏ | 1216/57600 [12:48<9:58:52, 1.57it/s] 2%|▏ | 1217/57600 [12:49<10:13:11, 1.53it/s] 2%|▏ | 1218/57600 [12:49<9:58:33, 1.57it/s] 2%|▏ | 1219/57600 [12:50<10:23:31, 1.51it/s] 2%|▏ | 1220/57600 [12:51<10:31:26, 1.49it/s] {'loss': 1.7228, 'learning_rate': 9.840069686411149e-07, 'epoch': 13.47} | |
| 2%|▏ | 1220/57600 [12:51<10:31:26, 1.49it/s] 2%|▏ | 1221/57600 [12:51<10:13:48, 1.53it/s] 2%|▏ | 1222/57600 [12:52<10:04:14, 1.56it/s] 2%|▏ | 1223/57600 [12:53<10:10:39, 1.54it/s] 2%|▏ | 1224/57600 [12:53<10:03:33, 1.56it/s] 2%|▏ | 1225/57600 [12:54<9:56:58, 1.57it/s] 2%|▏ | 1226/57600 [12:54<9:42:09, 1.61it/s] 2%|▏ | 1227/57600 [12:55<9:31:28, 1.64it/s] 2%|▏ | 1228/57600 [12:56<9:30:11, 1.65it/s] 2%|▏ | 1229/57600 [12:56<9:31:25, 1.64it/s] 2%|▏ | 1230/57600 [12:57<9:43:50, 1.61it/s] 2%|▏ | 1231/57600 [12:57<9:42:30, 1.61it/s] 2%|▏ | 1232/57600 [12:58<9:48:16, 1.60it/s] 2%|▏ | 1233/57600 [12:59<9:42:29, 1.61it/s] 2%|▏ | 1234/57600 [12:59<9:56:23, 1.58it/s] 2%|▏ | 1235/57600 [13:00<9:51:09, 1.59it/s] 2%|▏ | 1236/57600 [13:01<9:46:30, 1.60it/s] 2%|▏ | 1237/57600 [13:01<9:49:17, 1.59it/s] 2%|▏ | 1238/57600 [13:02<9:52:12, 1.59it/s] 2%|▏ | 1239/57600 [13:02<9:33:40, 1.64it/s] 2%|▏ | 1240/57600 [13:03<9:32:40, 1.64it/s] {'loss': 1.7866, 'learning_rate': 9.836933797909407e-07, 'epoch': 13.69} | |
| 2%|▏ | 1240/57600 [13:03<9:32:40, 1.64it/s] 2%|▏ | 1241/57600 [13:04<9:30:04, 1.65it/s] 2%|▏ | 1242/57600 [13:04<9:32:18, 1.64it/s] 2%|▏ | 1243/57600 [13:05<9:52:08, 1.59it/s] 2%|▏ | 1244/57600 [13:06<9:53:42, 1.58it/s] 2%|▏ | 1245/57600 [13:06<10:03:33, 1.56it/s] 2%|▏ | 1246/57600 [13:07<9:39:17, 1.62it/s] 2%|▏ | 1247/57600 [13:07<9:47:50, 1.60it/s] 2%|▏ | 1248/57600 [13:08<9:38:08, 1.62it/s] 2%|▏ | 1249/57600 [13:09<9:22:25, 1.67it/s] 2%|▏ | 1250/57600 [13:09<9:20:26, 1.68it/s] 2%|▏ | 1251/57600 [13:10<9:50:23, 1.59it/s] 2%|▏ | 1252/57600 [13:11<10:04:40, 1.55it/s] 2%|▏ | 1253/57600 [13:11<9:51:03, 1.59it/s] 2%|▏ | 1254/57600 [13:12<10:04:38, 1.55it/s] 2%|▏ | 1255/57600 [13:12<9:42:45, 1.61it/s] 2%|▏ | 1256/57600 [13:13<9:53:54, 1.58it/s] 2%|▏ | 1257/57600 [13:14<9:55:52, 1.58it/s] 2%|▏ | 1258/57600 [13:14<9:47:21, 1.60it/s] 2%|▏ | 1259/57600 [13:15<9:45:42, 1.60it/s] 2%|▏ | 1260/57600 [13:16<10:09:46, 1.54it/s] {'loss': 1.7871, 'learning_rate': 9.833797909407664e-07, 'epoch': 13.91} | |
| 2%|▏ | 1260/57600 [13:16<10:09:46, 1.54it/s] 2%|▏ | 1261/57600 [13:16<10:23:28, 1.51it/s] 2%|▏ | 1262/57600 [13:17<10:19:56, 1.51it/s] 2%|▏ | 1263/57600 [13:18<10:07:14, 1.55it/s] 2%|▏ | 1264/57600 [13:18<10:18:35, 1.52it/s] 2%|▏ | 1265/57600 [13:19<9:59:59, 1.56it/s] 2%|▏ | 1266/57600 [13:19<9:45:51, 1.60it/s] 2%|▏ | 1267/57600 [13:20<10:01:44, 1.56it/s] 2%|▏ | 1268/57600 [13:21<10:10:22, 1.54it/s] 2%|▏ | 1269/57600 [13:22<10:36:54, 1.47it/s] 2%|▏ | 1270/57600 [13:22<10:20:39, 1.51it/s] 2%|▏ | 1271/57600 [13:23<10:15:46, 1.52it/s] 2%|▏ | 1272/57600 [13:23<10:19:48, 1.51it/s] 2%|▏ | 1273/57600 [13:24<10:05:25, 1.55it/s] 2%|▏ | 1274/57600 [13:25<10:14:48, 1.53it/s] 2%|▏ | 1275/57600 [13:25<9:59:05, 1.57it/s] 2%|▏ | 1276/57600 [13:26<10:03:14, 1.56it/s] 2%|▏ | 1277/57600 [13:27<10:02:23, 1.56it/s] 2%|▏ | 1278/57600 [13:27<10:29:20, 1.49it/s] 2%|▏ | 1279/57600 [13:28<10:29:38, 1.49it/s] 2%|▏ | 1280/57600 [13:29<10:20:08, 1.51it/s] {'loss': 1.7238, 'learning_rate': 9.830662020905923e-07, 'epoch': 14.13} | |
| 2%|▏ | 1280/57600 [13:29<10:20:08, 1.51it/s] 2%|▏ | 1281/57600 [13:29<10:07:37, 1.54it/s] 2%|▏ | 1282/57600 [13:30<10:15:14, 1.53it/s] 2%|▏ | 1283/57600 [13:31<9:53:22, 1.58it/s] 2%|▏ | 1284/57600 [13:31<9:56:03, 1.57it/s] 2%|▏ | 1285/57600 [13:32<9:40:54, 1.62it/s] 2%|▏ | 1286/57600 [13:32<9:31:21, 1.64it/s] 2%|▏ | 1287/57600 [13:33<9:33:36, 1.64it/s] 2%|▏ | 1288/57600 [13:34<9:47:24, 1.60it/s] 2%|▏ | 1289/57600 [13:34<9:37:42, 1.62it/s] 2%|▏ | 1290/57600 [13:35<9:39:41, 1.62it/s] 2%|▏ | 1291/57600 [13:35<9:39:53, 1.62it/s] 2%|▏ | 1292/57600 [13:36<9:52:54, 1.58it/s] 2%|▏ | 1293/57600 [13:37<9:40:31, 1.62it/s] 2%|▏ | 1294/57600 [13:37<9:43:30, 1.61it/s] 2%|▏ | 1295/57600 [13:38<9:51:09, 1.59it/s] 2%|▏ | 1296/57600 [13:39<9:50:11, 1.59it/s] 2%|▏ | 1297/57600 [13:39<9:42:36, 1.61it/s] 2%|▏ | 1298/57600 [13:40<9:28:00, 1.65it/s] 2%|▏ | 1299/57600 [13:41<9:52:31, 1.58it/s] 2%|▏ | 1300/57600 [13:41<9:43:16, 1.61it/s] {'loss': 1.805, 'learning_rate': 9.827526132404181e-07, 'epoch': 14.35} | |
| 2%|▏ | 1300/57600 [13:41<9:43:16, 1.61it/s] 2%|▏ | 1301/57600 [13:42<10:11:59, 1.53it/s] 2%|▏ | 1302/57600 [13:42<10:11:45, 1.53it/s] 2%|▏ | 1303/57600 [13:43<9:59:53, 1.56it/s] 2%|▏ | 1304/57600 [13:44<10:12:56, 1.53it/s] 2%|▏ | 1305/57600 [13:44<10:16:50, 1.52it/s] 2%|▏ | 1306/57600 [13:45<10:19:41, 1.51it/s] 2%|▏ | 1307/57600 [13:46<10:16:45, 1.52it/s] 2%|▏ | 1308/57600 [13:46<9:54:29, 1.58it/s] 2%|▏ | 1309/57600 [13:47<9:50:34, 1.59it/s] 2%|▏ | 1310/57600 [13:48<10:05:32, 1.55it/s] 2%|▏ | 1311/57600 [13:48<10:05:33, 1.55it/s] 2%|▏ | 1312/57600 [13:49<10:10:02, 1.54it/s] 2%|▏ | 1313/57600 [13:50<10:06:31, 1.55it/s] 2%|▏ | 1314/57600 [13:50<9:59:32, 1.56it/s] 2%|▏ | 1315/57600 [13:51<10:02:42, 1.56it/s] 2%|▏ | 1316/57600 [13:52<10:18:21, 1.52it/s] 2%|▏ | 1317/57600 [13:52<9:56:52, 1.57it/s] 2%|▏ | 1318/57600 [13:53<9:54:45, 1.58it/s] 2%|▏ | 1319/57600 [13:53<9:52:16, 1.58it/s] 2%|▏ | 1320/57600 [13:54<9:34:41, 1.63it/s] {'loss': 1.7909, 'learning_rate': 9.82439024390244e-07, 'epoch': 14.57} | |
| 2%|▏ | 1320/57600 [13:54<9:34:41, 1.63it/s] 2%|▏ | 1321/57600 [13:55<9:36:54, 1.63it/s] 2%|▏ | 1322/57600 [13:55<9:59:46, 1.56it/s] 2%|▏ | 1323/57600 [13:56<10:02:53, 1.56it/s] 2%|▏ | 1324/57600 [13:57<9:52:11, 1.58it/s] 2%|▏ | 1325/57600 [13:57<9:34:33, 1.63it/s] 2%|▏ | 1326/57600 [13:58<9:31:40, 1.64it/s] 2%|▏ | 1327/57600 [13:58<9:22:59, 1.67it/s] 2%|▏ | 1328/57600 [13:59<9:38:55, 1.62it/s] 2%|▏ | 1329/57600 [14:00<9:48:24, 1.59it/s] 2%|▏ | 1330/57600 [14:00<9:42:50, 1.61it/s] 2%|▏ | 1331/57600 [14:01<9:38:41, 1.62it/s] 2%|▏ | 1332/57600 [14:01<9:32:01, 1.64it/s] 2%|▏ | 1333/57600 [14:02<9:29:54, 1.65it/s] 2%|▏ | 1334/57600 [14:03<9:37:00, 1.63it/s] 2%|▏ | 1335/57600 [14:03<9:24:29, 1.66it/s] 2%|▏ | 1336/57600 [14:04<9:30:13, 1.64it/s] 2%|▏ | 1337/57600 [14:04<9:43:09, 1.61it/s] 2%|▏ | 1338/57600 [14:05<9:50:45, 1.59it/s] 2%|▏ | 1339/57600 [14:06<9:49:01, 1.59it/s] 2%|▏ | 1340/57600 [14:06<10:13:59, 1.53it/s] {'loss': 1.7861, 'learning_rate': 9.821254355400698e-07, 'epoch': 14.79} | |
| 2%|▏ | 1340/57600 [14:06<10:13:59, 1.53it/s] 2%|▏ | 1341/57600 [14:07<10:11:33, 1.53it/s] 2%|▏ | 1342/57600 [14:08<9:44:30, 1.60it/s] 2%|▏ | 1343/57600 [14:08<9:29:46, 1.65it/s] 2%|▏ | 1344/57600 [14:09<9:24:28, 1.66it/s] 2%|▏ | 1345/57600 [14:10<9:49:11, 1.59it/s] 2%|▏ | 1346/57600 [14:10<10:21:09, 1.51it/s] 2%|▏ | 1347/57600 [14:11<10:10:21, 1.54it/s] 2%|▏ | 1348/57600 [14:11<9:48:16, 1.59it/s] 2%|▏ | 1349/57600 [14:12<9:48:49, 1.59it/s] 2%|▏ | 1350/57600 [14:13<9:35:45, 1.63it/s] 2%|▏ | 1351/57600 [14:13<9:50:25, 1.59it/s] 2%|▏ | 1352/57600 [14:14<9:38:32, 1.62it/s] 2%|▏ | 1353/57600 [14:15<9:40:45, 1.61it/s] 2%|▏ | 1354/57600 [14:15<9:56:32, 1.57it/s] 2%|▏ | 1355/57600 [14:16<9:52:01, 1.58it/s] 2%|▏ | 1356/57600 [14:16<9:38:39, 1.62it/s] 2%|▏ | 1357/57600 [14:17<9:51:52, 1.58it/s] 2%|▏ | 1358/57600 [14:18<9:41:21, 1.61it/s] 2%|▏ | 1359/57600 [14:18<9:52:33, 1.58it/s] 2%|▏ | 1360/57600 [14:19<10:31:38, 1.48it/s] {'loss': 1.7651, 'learning_rate': 9.818118466898953e-07, 'epoch': 15.01} | |
| 2%|▏ | 1360/57600 [14:19<10:31:38, 1.48it/s] 2%|▏ | 1361/57600 [14:20<10:26:41, 1.50it/s] 2%|▏ | 1362/57600 [14:20<10:14:12, 1.53it/s] 2%|▏ | 1363/57600 [14:21<10:23:14, 1.50it/s] 2%|▏ | 1364/57600 [14:22<10:12:52, 1.53it/s] 2%|▏ | 1365/57600 [14:22<10:14:29, 1.53it/s] 2%|▏ | 1366/57600 [14:23<10:41:31, 1.46it/s] 2%|▏ | 1367/57600 [14:24<10:25:43, 1.50it/s] 2%|▏ | 1368/57600 [14:24<10:30:25, 1.49it/s] 2%|▏ | 1369/57600 [14:25<10:15:56, 1.52it/s] 2%|▏ | 1370/57600 [14:26<10:08:12, 1.54it/s] 2%|▏ | 1371/57600 [14:26<10:12:21, 1.53it/s] 2%|▏ | 1372/57600 [14:27<9:52:36, 1.58it/s] 2%|▏ | 1373/57600 [14:28<9:40:24, 1.61it/s] 2%|▏ | 1374/57600 [14:28<9:47:07, 1.60it/s] 2%|▏ | 1375/57600 [14:29<9:32:55, 1.64it/s] 2%|▏ | 1376/57600 [14:29<9:48:45, 1.59it/s] 2%|▏ | 1377/57600 [14:30<9:39:56, 1.62it/s] 2%|▏ | 1378/57600 [14:31<9:36:39, 1.62it/s] 2%|▏ | 1379/57600 [14:31<9:37:49, 1.62it/s] 2%|▏ | 1380/57600 [14:32<9:28:32, 1.65it/s] {'loss': 1.7666, 'learning_rate': 9.814982578397211e-07, 'epoch': 15.23} | |
| 2%|▏ | 1380/57600 [14:32<9:28:32, 1.65it/s] 2%|▏ | 1381/57600 [14:33<9:58:40, 1.57it/s] 2%|▏ | 1382/57600 [14:33<10:04:10, 1.55it/s] 2%|▏ | 1383/57600 [14:34<10:09:35, 1.54it/s] 2%|▏ | 1384/57600 [14:35<10:21:43, 1.51it/s] 2%|▏ | 1385/57600 [14:35<10:33:54, 1.48it/s] 2%|▏ | 1386/57600 [14:36<10:03:07, 1.55it/s] 2%|▏ | 1387/57600 [14:36<9:38:56, 1.62it/s] 2%|▏ | 1388/57600 [14:37<9:44:51, 1.60it/s] 2%|▏ | 1389/57600 [14:38<9:32:46, 1.64it/s] 2%|▏ | 1390/57600 [14:38<9:14:35, 1.69it/s] 2%|▏ | 1391/57600 [14:39<9:16:22, 1.68it/s] 2%|▏ | 1392/57600 [14:39<9:10:09, 1.70it/s] 2%|▏ | 1393/57600 [14:40<9:46:02, 1.60it/s] 2%|▏ | 1394/57600 [14:41<9:37:17, 1.62it/s] 2%|▏ | 1395/57600 [14:41<9:41:45, 1.61it/s] 2%|▏ | 1396/57600 [14:42<10:09:42, 1.54it/s] 2%|▏ | 1397/57600 [14:43<10:07:51, 1.54it/s] 2%|▏ | 1398/57600 [14:43<9:50:41, 1.59it/s] 2%|▏ | 1399/57600 [14:44<10:15:20, 1.52it/s] 2%|▏ | 1400/57600 [14:45<10:11:41, 1.53it/s] {'loss': 1.7159, 'learning_rate': 9.81184668989547e-07, 'epoch': 15.45} | |
| 2%|▏ | 1400/57600 [14:45<10:11:41, 1.53it/s] 2%|▏ | 1401/57600 [14:45<9:58:38, 1.56it/s] 2%|▏ | 1402/57600 [14:46<10:08:01, 1.54it/s] 2%|▏ | 1403/57600 [14:46<10:00:04, 1.56it/s] 2%|▏ | 1404/57600 [14:47<9:53:04, 1.58it/s] 2%|▏ | 1405/57600 [14:48<9:51:47, 1.58it/s] 2%|▏ | 1406/57600 [14:48<9:41:48, 1.61it/s] 2%|▏ | 1407/57600 [14:49<9:25:13, 1.66it/s] 2%|▏ | 1408/57600 [14:49<9:18:01, 1.68it/s] 2%|▏ | 1409/57600 [14:50<9:16:49, 1.68it/s] 2%|▏ | 1410/57600 [14:51<9:45:09, 1.60it/s] 2%|▏ | 1411/57600 [14:51<9:56:16, 1.57it/s] 2%|▏ | 1412/57600 [14:52<9:43:47, 1.60it/s] 2%|▏ | 1413/57600 [14:53<9:47:15, 1.59it/s] 2%|▏ | 1414/57600 [14:53<9:31:37, 1.64it/s] 2%|▏ | 1415/57600 [14:54<9:39:11, 1.62it/s] 2%|▏ | 1416/57600 [14:55<9:49:35, 1.59it/s] 2%|▏ | 1417/57600 [14:55<10:00:57, 1.56it/s] 2%|▏ | 1418/57600 [14:56<9:53:31, 1.58it/s] 2%|▏ | 1419/57600 [14:56<9:42:07, 1.61it/s] 2%|▏ | 1420/57600 [14:57<9:36:02, 1.63it/s] {'loss': 1.7701, 'learning_rate': 9.808710801393728e-07, 'epoch': 15.67} | |
| 2%|▏ | 1420/57600 [14:57<9:36:02, 1.63it/s] 2%|▏ | 1421/57600 [14:58<9:33:20, 1.63it/s] 2%|▏ | 1422/57600 [14:58<9:33:59, 1.63it/s] 2%|▏ | 1423/57600 [14:59<9:22:36, 1.66it/s] 2%|▏ | 1424/57600 [14:59<9:33:06, 1.63it/s] 2%|▏ | 1425/57600 [15:00<9:28:36, 1.65it/s] 2%|▏ | 1426/57600 [15:01<9:39:19, 1.62it/s] 2%|▏ | 1427/57600 [15:01<9:32:30, 1.64it/s] 2%|▏ | 1428/57600 [15:02<9:44:24, 1.60it/s] 2%|▏ | 1429/57600 [15:03<9:52:06, 1.58it/s] 2%|▏ | 1430/57600 [15:03<9:46:32, 1.60it/s] 2%|▏ | 1431/57600 [15:04<9:36:05, 1.63it/s] 2%|▏ | 1432/57600 [15:04<9:35:07, 1.63it/s] 2%|▏ | 1433/57600 [15:05<9:53:20, 1.58it/s] 2%|▏ | 1434/57600 [15:06<9:51:29, 1.58it/s] 2%|▏ | 1435/57600 [15:06<10:02:16, 1.55it/s] 2%|▏ | 1436/57600 [15:07<9:59:43, 1.56it/s] 2%|▏ | 1437/57600 [15:08<9:51:28, 1.58it/s] 2%|▏ | 1438/57600 [15:08<9:40:33, 1.61it/s] 2%|▏ | 1439/57600 [15:09<9:30:39, 1.64it/s] 2%|▎ | 1440/57600 [15:09<9:38:58, 1.62it/s] {'loss': 1.7977, 'learning_rate': 9.805574912891987e-07, 'epoch': 15.89} | |
| 2%|▎ | 1440/57600 [15:09<9:38:58, 1.62it/s] 3%|▎ | 1441/57600 [15:10<9:36:44, 1.62it/s] 3%|▎ | 1442/57600 [15:11<9:29:40, 1.64it/s] 3%|▎ | 1443/57600 [15:11<9:34:51, 1.63it/s] 3%|▎ | 1444/57600 [15:12<10:13:27, 1.53it/s] 3%|▎ | 1445/57600 [15:13<10:19:42, 1.51it/s] 3%|▎ | 1446/57600 [15:13<10:06:24, 1.54it/s] 3%|▎ | 1447/57600 [15:14<9:45:13, 1.60it/s] 3%|▎ | 1448/57600 [15:14<9:39:49, 1.61it/s] 3%|▎ | 1449/57600 [15:15<9:33:04, 1.63it/s] 3%|▎ | 1450/57600 [15:16<10:16:08, 1.52it/s] 3%|▎ | 1451/57600 [15:16<9:56:22, 1.57it/s] 3%|▎ | 1452/57600 [15:17<10:02:40, 1.55it/s] 3%|▎ | 1453/57600 [15:18<9:57:28, 1.57it/s] 3%|▎ | 1454/57600 [15:18<9:51:17, 1.58it/s] 3%|▎ | 1455/57600 [15:19<9:42:39, 1.61it/s] 3%|▎ | 1456/57600 [15:20<9:41:10, 1.61it/s] 3%|▎ | 1457/57600 [15:20<9:44:19, 1.60it/s] 3%|▎ | 1458/57600 [15:21<9:28:03, 1.65it/s] 3%|▎ | 1459/57600 [15:21<9:45:03, 1.60it/s] 3%|▎ | 1460/57600 [15:22<9:45:04, 1.60it/s] {'loss': 1.7805, 'learning_rate': 9.802439024390243e-07, 'epoch': 16.11} | |
| 3%|▎ | 1460/57600 [15:22<9:45:04, 1.60it/s] 3%|▎ | 1461/57600 [15:23<9:57:03, 1.57it/s] 3%|▎ | 1462/57600 [15:23<9:41:14, 1.61it/s] 3%|▎ | 1463/57600 [15:24<9:23:56, 1.66it/s] 3%|▎ | 1464/57600 [15:24<9:27:35, 1.65it/s] 3%|▎ | 1465/57600 [15:25<9:18:24, 1.68it/s] 3%|▎ | 1466/57600 [15:26<9:25:12, 1.66it/s] 3%|▎ | 1467/57600 [15:26<9:36:05, 1.62it/s] 3%|▎ | 1468/57600 [15:27<9:34:50, 1.63it/s] 3%|▎ | 1469/57600 [15:27<9:26:46, 1.65it/s] 3%|▎ | 1470/57600 [15:28<9:31:27, 1.64it/s] 3%|▎ | 1471/57600 [15:29<9:22:10, 1.66it/s] 3%|▎ | 1472/57600 [15:29<9:30:30, 1.64it/s] 3%|▎ | 1473/57600 [15:30<9:17:44, 1.68it/s] 3%|▎ | 1474/57600 [15:30<9:19:41, 1.67it/s] 3%|▎ | 1475/57600 [15:31<9:25:01, 1.66it/s] 3%|▎ | 1476/57600 [15:32<9:32:11, 1.63it/s] 3%|▎ | 1477/57600 [15:32<9:24:10, 1.66it/s] 3%|▎ | 1478/57600 [15:33<9:31:28, 1.64it/s] 3%|▎ | 1479/57600 [15:34<9:30:20, 1.64it/s] 3%|▎ | 1480/57600 [15:34<9:27:41, 1.65it/s] {'loss': 1.7711, 'learning_rate': 9.799303135888502e-07, 'epoch': 16.34} | |
| 3%|▎ | 1480/57600 [15:34<9:27:41, 1.65it/s] 3%|▎ | 1481/57600 [15:35<9:33:03, 1.63it/s] 3%|▎ | 1482/57600 [15:35<9:26:57, 1.65it/s] 3%|▎ | 1483/57600 [15:36<9:36:22, 1.62it/s] 3%|▎ | 1484/57600 [15:37<9:27:06, 1.65it/s] 3%|▎ | 1485/57600 [15:37<9:41:18, 1.61it/s] 3%|▎ | 1486/57600 [15:38<9:46:34, 1.59it/s] 3%|▎ | 1487/57600 [15:39<10:07:17, 1.54it/s] 3%|▎ | 1488/57600 [15:39<10:27:09, 1.49it/s] 3%|▎ | 1489/57600 [15:40<10:08:57, 1.54it/s] 3%|▎ | 1490/57600 [15:41<10:09:25, 1.53it/s] 3%|▎ | 1491/57600 [15:41<10:13:45, 1.52it/s] 3%|▎ | 1492/57600 [15:42<10:06:28, 1.54it/s] 3%|▎ | 1493/57600 [15:43<10:04:43, 1.55it/s] 3%|▎ | 1494/57600 [15:43<10:09:16, 1.53it/s] 3%|▎ | 1495/57600 [15:44<10:01:34, 1.55it/s] 3%|▎ | 1496/57600 [15:44<9:50:55, 1.58it/s] 3%|▎ | 1497/57600 [15:45<10:00:50, 1.56it/s] 3%|▎ | 1498/57600 [15:46<9:49:42, 1.59it/s] 3%|▎ | 1499/57600 [15:46<10:03:40, 1.55it/s] 3%|▎ | 1500/57600 [15:47<10:08:54, 1.54it/s] {'loss': 1.6767, 'learning_rate': 9.796167247386758e-07, 'epoch': 16.56} | |
| 3%|▎ | 1500/57600 [15:47<10:08:54, 1.54it/s] 3%|▎ | 1501/57600 [15:48<9:58:30, 1.56it/s] 3%|▎ | 1502/57600 [15:48<9:49:15, 1.59it/s] 3%|▎ | 1503/57600 [15:49<9:29:55, 1.64it/s] 3%|▎ | 1504/57600 [15:50<9:59:28, 1.56it/s] 3%|▎ | 1505/57600 [15:50<9:51:53, 1.58it/s] 3%|▎ | 1506/57600 [15:51<9:44:18, 1.60it/s] 3%|▎ | 1507/57600 [15:51<9:36:30, 1.62it/s] 3%|▎ | 1508/57600 [15:52<9:40:45, 1.61it/s] 3%|▎ | 1509/57600 [15:53<9:59:23, 1.56it/s] 3%|▎ | 1510/57600 [15:53<10:01:38, 1.55it/s] 3%|▎ | 1511/57600 [15:54<9:53:03, 1.58it/s] 3%|▎ | 1512/57600 [15:55<9:51:45, 1.58it/s] 3%|▎ | 1513/57600 [15:55<10:01:15, 1.55it/s] 3%|▎ | 1514/57600 [15:56<9:40:07, 1.61it/s] 3%|▎ | 1515/57600 [15:56<9:40:47, 1.61it/s] 3%|▎ | 1516/57600 [15:57<9:46:09, 1.59it/s] 3%|▎ | 1517/57600 [15:58<9:57:57, 1.56it/s] 3%|▎ | 1518/57600 [15:58<9:40:52, 1.61it/s] 3%|▎ | 1519/57600 [15:59<9:40:57, 1.61it/s] 3%|▎ | 1520/57600 [16:00<9:57:55, 1.56it/s] {'loss': 1.722, 'learning_rate': 9.793031358885017e-07, 'epoch': 16.78} | |
| 3%|▎ | 1520/57600 [16:00<9:57:55, 1.56it/s] 3%|▎ | 1521/57600 [16:00<9:50:30, 1.58it/s] 3%|▎ | 1522/57600 [16:01<9:30:40, 1.64it/s] 3%|▎ | 1523/57600 [16:01<9:28:15, 1.64it/s] 3%|▎ | 1524/57600 [16:02<9:10:53, 1.70it/s] 3%|▎ | 1525/57600 [16:03<9:25:12, 1.65it/s] 3%|▎ | 1526/57600 [16:03<9:12:27, 1.69it/s] 3%|▎ | 1527/57600 [16:04<9:16:48, 1.68it/s] 3%|▎ | 1528/57600 [16:04<9:10:49, 1.70it/s] 3%|▎ | 1529/57600 [16:05<9:23:14, 1.66it/s] 3%|▎ | 1530/57600 [16:06<9:31:12, 1.64it/s] 3%|▎ | 1531/57600 [16:06<9:32:25, 1.63it/s] 3%|▎ | 1532/57600 [16:07<9:40:46, 1.61it/s] 3%|▎ | 1533/57600 [16:07<9:30:23, 1.64it/s] 3%|▎ | 1534/57600 [16:08<9:47:18, 1.59it/s] 3%|▎ | 1535/57600 [16:09<9:41:06, 1.61it/s] 3%|▎ | 1536/57600 [16:09<9:43:39, 1.60it/s] 3%|▎ | 1537/57600 [16:10<9:55:33, 1.57it/s] 3%|▎ | 1538/57600 [16:11<9:38:24, 1.62it/s] 3%|▎ | 1539/57600 [16:11<9:55:07, 1.57it/s] 3%|▎ | 1540/57600 [16:12<9:53:03, 1.58it/s] {'loss': 1.783, 'learning_rate': 9.789895470383276e-07, 'epoch': 17.0} | |
| 3%|▎ | 1540/57600 [16:12<9:53:03, 1.58it/s] 3%|▎ | 1541/57600 [16:13<10:09:15, 1.53it/s] 3%|▎ | 1542/57600 [16:13<10:04:11, 1.55it/s] 3%|▎ | 1543/57600 [16:14<10:00:15, 1.56it/s] 3%|▎ | 1544/57600 [16:14<9:55:34, 1.57it/s] 3%|▎ | 1545/57600 [16:15<9:52:59, 1.58it/s] 3%|▎ | 1546/57600 [16:16<9:48:22, 1.59it/s] 3%|▎ | 1547/57600 [16:16<9:50:14, 1.58it/s] 3%|▎ | 1548/57600 [16:17<10:00:42, 1.56it/s] 3%|▎ | 1549/57600 [16:18<9:48:01, 1.59it/s] 3%|▎ | 1550/57600 [16:18<9:43:21, 1.60it/s] 3%|▎ | 1551/57600 [16:19<9:59:09, 1.56it/s] 3%|▎ | 1552/57600 [16:20<9:59:23, 1.56it/s] 3%|▎ | 1553/57600 [16:20<9:39:12, 1.61it/s] 3%|▎ | 1554/57600 [16:21<9:25:35, 1.65it/s] 3%|▎ | 1555/57600 [16:21<9:57:54, 1.56it/s] 3%|▎ | 1556/57600 [16:22<9:51:13, 1.58it/s] 3%|▎ | 1557/57600 [16:23<9:52:30, 1.58it/s] 3%|▎ | 1558/57600 [16:23<9:48:53, 1.59it/s] 3%|▎ | 1559/57600 [16:24<9:39:15, 1.61it/s] 3%|▎ | 1560/57600 [16:24<9:26:14, 1.65it/s] {'loss': 1.7233, 'learning_rate': 9.786759581881534e-07, 'epoch': 17.22} | |
| 3%|▎ | 1560/57600 [16:24<9:26:14, 1.65it/s] 3%|▎ | 1561/57600 [16:25<9:29:56, 1.64it/s] 3%|▎ | 1562/57600 [16:26<9:34:24, 1.63it/s] 3%|▎ | 1563/57600 [16:26<9:45:34, 1.59it/s] 3%|▎ | 1564/57600 [16:27<9:36:39, 1.62it/s] 3%|▎ | 1565/57600 [16:28<9:37:46, 1.62it/s] 3%|▎ | 1566/57600 [16:28<9:23:29, 1.66it/s] 3%|▎ | 1567/57600 [16:29<9:30:29, 1.64it/s] 3%|▎ | 1568/57600 [16:29<9:22:07, 1.66it/s] 3%|▎ | 1569/57600 [16:30<9:34:08, 1.63it/s] 3%|▎ | 1570/57600 [16:31<9:15:56, 1.68it/s] 3%|▎ | 1571/57600 [16:31<9:39:41, 1.61it/s] 3%|▎ | 1572/57600 [16:32<9:53:11, 1.57it/s] 3%|▎ | 1573/57600 [16:32<9:40:02, 1.61it/s] 3%|▎ | 1574/57600 [16:33<9:30:00, 1.64it/s] 3%|▎ | 1575/57600 [16:34<9:41:56, 1.60it/s] 3%|▎ | 1576/57600 [16:34<9:49:48, 1.58it/s] 3%|▎ | 1577/57600 [16:35<9:56:35, 1.57it/s] 3%|▎ | 1578/57600 [16:36<9:52:02, 1.58it/s] 3%|▎ | 1579/57600 [16:36<9:49:51, 1.58it/s] 3%|▎ | 1580/57600 [16:37<9:41:12, 1.61it/s] {'loss': 1.7209, 'learning_rate': 9.78362369337979e-07, 'epoch': 17.44} | |
| 3%|▎ | 1580/57600 [16:37<9:41:12, 1.61it/s] 3%|▎ | 1581/57600 [16:38<9:57:14, 1.56it/s] 3%|▎ | 1582/57600 [16:38<9:44:15, 1.60it/s] 3%|▎ | 1583/57600 [16:39<9:33:23, 1.63it/s] 3%|▎ | 1584/57600 [16:39<9:33:03, 1.63it/s] 3%|▎ | 1585/57600 [16:40<9:21:03, 1.66it/s] 3%|▎ | 1586/57600 [16:41<9:35:45, 1.62it/s] 3%|▎ | 1587/57600 [16:41<9:43:30, 1.60it/s] 3%|▎ | 1588/57600 [16:42<9:55:48, 1.57it/s] 3%|▎ | 1589/57600 [16:42<9:47:13, 1.59it/s] 3%|▎ | 1590/57600 [16:43<10:04:21, 1.54it/s] 3%|▎ | 1591/57600 [16:44<10:03:31, 1.55it/s] 3%|▎ | 1592/57600 [16:44<9:52:43, 1.57it/s] 3%|▎ | 1593/57600 [16:45<10:02:44, 1.55it/s] 3%|▎ | 1594/57600 [16:46<9:58:18, 1.56it/s] 3%|▎ | 1595/57600 [16:46<9:45:47, 1.59it/s] 3%|▎ | 1596/57600 [16:47<9:34:30, 1.62it/s] 3%|▎ | 1597/57600 [16:48<9:55:43, 1.57it/s] 3%|▎ | 1598/57600 [16:48<10:01:35, 1.55it/s] 3%|▎ | 1599/57600 [16:49<10:08:15, 1.53it/s] 3%|▎ | 1600/57600 [16:50<10:09:30, 1.53it/s] {'loss': 1.6968, 'learning_rate': 9.780487804878047e-07, 'epoch': 17.66} | |
| 3%|▎ | 1600/57600 [16:50<10:09:30, 1.53it/s] 3%|▎ | 1601/57600 [16:50<10:36:20, 1.47it/s] 3%|▎ | 1602/57600 [16:51<10:10:48, 1.53it/s] 3%|▎ | 1603/57600 [16:52<10:22:14, 1.50it/s] 3%|▎ | 1604/57600 [16:52<9:58:38, 1.56it/s] 3%|▎ | 1605/57600 [16:53<10:01:00, 1.55it/s] 3%|▎ | 1606/57600 [16:53<9:54:39, 1.57it/s] 3%|▎ | 1607/57600 [16:54<9:59:47, 1.56it/s] 3%|▎ | 1608/57600 [16:55<10:00:45, 1.55it/s] 3%|▎ | 1609/57600 [16:55<9:37:46, 1.62it/s] 3%|▎ | 1610/57600 [16:56<10:06:41, 1.54it/s] 3%|▎ | 1611/57600 [16:57<10:11:37, 1.53it/s] 3%|▎ | 1612/57600 [16:57<9:57:36, 1.56it/s] 3%|▎ | 1613/57600 [16:58<9:55:16, 1.57it/s] 3%|▎ | 1614/57600 [16:59<9:52:55, 1.57it/s] 3%|▎ | 1615/57600 [16:59<9:45:13, 1.59it/s] 3%|▎ | 1616/57600 [17:00<9:34:16, 1.62it/s] 3%|▎ | 1617/57600 [17:00<9:50:24, 1.58it/s] 3%|▎ | 1618/57600 [17:01<10:00:39, 1.55it/s] 3%|▎ | 1619/57600 [17:02<9:39:35, 1.61it/s] 3%|▎ | 1620/57600 [17:02<10:01:55, 1.55it/s] {'loss': 1.6818, 'learning_rate': 9.777351916376306e-07, 'epoch': 17.88} | |
| 3%|▎ | 1620/57600 [17:02<10:01:55, 1.55it/s] 3%|▎ | 1621/57600 [17:03<9:58:24, 1.56it/s] 3%|▎ | 1622/57600 [17:04<9:45:59, 1.59it/s] 3%|▎ | 1623/57600 [17:04<9:35:13, 1.62it/s] 3%|▎ | 1624/57600 [17:05<9:18:13, 1.67it/s] 3%|▎ | 1625/57600 [17:05<9:23:15, 1.66it/s] 3%|▎ | 1626/57600 [17:06<9:23:02, 1.66it/s] 3%|▎ | 1627/57600 [17:07<9:24:03, 1.65it/s] 3%|▎ | 1628/57600 [17:07<9:12:22, 1.69it/s] 3%|▎ | 1629/57600 [17:08<9:09:54, 1.70it/s] 3%|▎ | 1630/57600 [17:08<9:17:18, 1.67it/s] 3%|▎ | 1631/57600 [17:09<9:32:44, 1.63it/s] 3%|▎ | 1632/57600 [17:10<9:15:38, 1.68it/s] 3%|▎ | 1633/57600 [17:10<9:22:02, 1.66it/s] 3%|▎ | 1634/57600 [17:11<9:22:25, 1.66it/s] 3%|▎ | 1635/57600 [17:11<9:35:10, 1.62it/s] 3%|▎ | 1636/57600 [17:12<9:30:14, 1.64it/s] 3%|▎ | 1637/57600 [17:13<9:45:02, 1.59it/s] 3%|▎ | 1638/57600 [17:13<9:47:28, 1.59it/s] 3%|▎ | 1639/57600 [17:14<9:36:29, 1.62it/s] 3%|▎ | 1640/57600 [17:15<9:40:43, 1.61it/s] {'loss': 1.7819, 'learning_rate': 9.774216027874564e-07, 'epoch': 18.1} | |
| 3%|▎ | 1640/57600 [17:15<9:40:43, 1.61it/s] 3%|▎ | 1641/57600 [17:15<9:53:33, 1.57it/s] 3%|▎ | 1642/57600 [17:16<9:57:12, 1.56it/s] 3%|▎ | 1643/57600 [17:16<9:41:31, 1.60it/s] 3%|▎ | 1644/57600 [17:17<9:35:35, 1.62it/s] 3%|▎ | 1645/57600 [17:18<9:44:19, 1.60it/s] 3%|▎ | 1646/57600 [17:18<9:40:53, 1.61it/s] 3%|▎ | 1647/57600 [17:19<9:33:09, 1.63it/s] 3%|▎ | 1648/57600 [17:20<9:22:42, 1.66it/s] 3%|▎ | 1649/57600 [17:20<9:56:23, 1.56it/s] 3%|▎ | 1650/57600 [17:21<9:40:34, 1.61it/s] 3%|▎ | 1651/57600 [17:21<9:33:45, 1.63it/s] 3%|▎ | 1652/57600 [17:22<9:33:33, 1.63it/s] 3%|▎ | 1653/57600 [17:23<9:37:58, 1.61it/s] 3%|▎ | 1654/57600 [17:23<10:00:27, 1.55it/s] 3%|▎ | 1655/57600 [17:24<9:34:37, 1.62it/s] 3%|▎ | 1656/57600 [17:25<9:32:21, 1.63it/s] 3%|▎ | 1657/57600 [17:25<9:32:13, 1.63it/s] 3%|▎ | 1658/57600 [17:26<9:34:15, 1.62it/s] 3%|▎ | 1659/57600 [17:26<9:28:09, 1.64it/s] 3%|▎ | 1660/57600 [17:27<9:46:06, 1.59it/s] {'loss': 1.7445, 'learning_rate': 9.771080139372823e-07, 'epoch': 18.32} | |
| 3%|▎ | 1660/57600 [17:27<9:46:06, 1.59it/s] 3%|▎ | 1661/57600 [17:28<9:44:28, 1.60it/s] 3%|▎ | 1662/57600 [17:28<10:01:59, 1.55it/s] 3%|▎ | 1663/57600 [17:29<9:51:37, 1.58it/s] 3%|▎ | 1664/57600 [17:30<9:38:20, 1.61it/s] 3%|▎ | 1665/57600 [17:30<9:44:08, 1.60it/s] 3%|▎ | 1666/57600 [17:31<9:31:10, 1.63it/s] 3%|▎ | 1667/57600 [17:31<9:30:29, 1.63it/s] 3%|▎ | 1668/57600 [17:32<9:38:50, 1.61it/s] 3%|▎ | 1669/57600 [17:33<9:42:59, 1.60it/s] 3%|▎ | 1670/57600 [17:33<9:39:05, 1.61it/s] 3%|▎ | 1671/57600 [17:34<9:23:30, 1.65it/s] 3%|▎ | 1672/57600 [17:35<9:54:15, 1.57it/s] 3%|▎ | 1673/57600 [17:35<9:56:08, 1.56it/s] 3%|▎ | 1674/57600 [17:36<9:49:28, 1.58it/s] 3%|▎ | 1675/57600 [17:36<9:53:18, 1.57it/s] 3%|▎ | 1676/57600 [17:37<9:50:37, 1.58it/s] 3%|▎ | 1677/57600 [17:38<9:35:17, 1.62it/s] 3%|▎ | 1678/57600 [17:38<9:30:30, 1.63it/s] 3%|▎ | 1679/57600 [17:39<9:30:52, 1.63it/s] 3%|▎ | 1680/57600 [17:39<9:26:46, 1.64it/s] {'loss': 1.6888, 'learning_rate': 9.76794425087108e-07, 'epoch': 18.54} | |
| 3%|▎ | 1680/57600 [17:39<9:26:46, 1.64it/s] 3%|▎ | 1681/57600 [17:40<9:28:25, 1.64it/s] 3%|▎ | 1682/57600 [17:41<9:17:22, 1.67it/s] 3%|▎ | 1683/57600 [17:41<9:29:33, 1.64it/s] 3%|▎ | 1684/57600 [17:42<10:12:10, 1.52it/s] 3%|▎ | 1685/57600 [17:43<9:47:43, 1.59it/s] 3%|▎ | 1686/57600 [17:43<9:16:35, 1.67it/s] 3%|▎ | 1687/57600 [17:44<9:09:53, 1.69it/s] 3%|▎ | 1688/57600 [17:44<9:13:35, 1.68it/s] 3%|▎ | 1689/57600 [17:45<9:04:48, 1.71it/s] 3%|▎ | 1690/57600 [17:45<9:02:54, 1.72it/s] 3%|▎ | 1691/57600 [17:46<9:33:58, 1.62it/s] 3%|▎ | 1692/57600 [17:47<9:40:22, 1.61it/s] 3%|▎ | 1693/57600 [17:47<9:29:09, 1.64it/s] 3%|▎ | 1694/57600 [17:48<9:25:54, 1.65it/s] 3%|▎ | 1695/57600 [17:49<9:30:34, 1.63it/s] 3%|▎ | 1696/57600 [17:49<9:25:51, 1.65it/s] 3%|▎ | 1697/57600 [17:50<9:28:10, 1.64it/s] 3%|▎ | 1698/57600 [17:50<9:27:52, 1.64it/s] 3%|▎ | 1699/57600 [17:51<9:43:06, 1.60it/s] 3%|▎ | 1700/57600 [17:52<9:23:18, 1.65it/s] {'loss': 1.7562, 'learning_rate': 9.764808362369338e-07, 'epoch': 18.76} | |
| 3%|▎ | 1700/57600 [17:52<9:23:18, 1.65it/s] 3%|▎ | 1701/57600 [17:52<9:18:32, 1.67it/s] 3%|▎ | 1702/57600 [17:53<9:08:10, 1.70it/s] 3%|▎ | 1703/57600 [17:53<9:08:47, 1.70it/s] 3%|▎ | 1704/57600 [17:54<9:11:54, 1.69it/s] 3%|▎ | 1705/57600 [17:55<9:26:50, 1.64it/s] 3%|▎ | 1706/57600 [17:55<9:26:50, 1.64it/s] 3%|▎ | 1707/57600 [17:56<9:33:21, 1.62it/s] 3%|▎ | 1708/57600 [17:57<9:42:37, 1.60it/s] 3%|▎ | 1709/57600 [17:57<9:32:17, 1.63it/s] 3%|▎ | 1710/57600 [17:58<9:58:51, 1.56it/s] 3%|▎ | 1711/57600 [17:58<10:00:57, 1.55it/s] 3%|▎ | 1712/57600 [17:59<10:11:49, 1.52it/s] 3%|▎ | 1713/57600 [18:00<10:14:10, 1.52it/s] 3%|▎ | 1714/57600 [18:00<9:44:41, 1.59it/s] 3%|▎ | 1715/57600 [18:01<9:53:25, 1.57it/s] 3%|▎ | 1716/57600 [18:02<9:49:48, 1.58it/s] 3%|▎ | 1717/57600 [18:02<10:02:23, 1.55it/s] 3%|▎ | 1718/57600 [18:03<10:28:58, 1.48it/s] 3%|▎ | 1719/57600 [18:04<10:17:45, 1.51it/s] 3%|▎ | 1720/57600 [18:04<10:10:27, 1.53it/s] {'loss': 1.7368, 'learning_rate': 9.761672473867594e-07, 'epoch': 18.98} | |
| 3%|▎ | 1720/57600 [18:04<10:10:27, 1.53it/s] 3%|▎ | 1721/57600 [18:05<10:07:22, 1.53it/s] 3%|▎ | 1722/57600 [18:06<10:25:42, 1.49it/s] 3%|▎ | 1723/57600 [18:06<10:07:33, 1.53it/s] 3%|▎ | 1724/57600 [18:07<10:01:49, 1.55it/s] 3%|▎ | 1725/57600 [18:08<9:51:01, 1.58it/s] 3%|▎ | 1726/57600 [18:08<9:44:10, 1.59it/s] 3%|▎ | 1727/57600 [18:09<9:50:38, 1.58it/s] 3%|▎ | 1728/57600 [18:09<9:41:49, 1.60it/s] 3%|▎ | 1729/57600 [18:10<9:45:08, 1.59it/s] 3%|▎ | 1730/57600 [18:11<9:45:39, 1.59it/s] 3%|▎ | 1731/57600 [18:11<9:41:54, 1.60it/s] 3%|▎ | 1732/57600 [18:12<9:50:31, 1.58it/s] 3%|▎ | 1733/57600 [18:13<9:44:22, 1.59it/s] 3%|▎ | 1734/57600 [18:13<9:56:28, 1.56it/s] 3%|▎ | 1735/57600 [18:14<9:38:09, 1.61it/s] 3%|▎ | 1736/57600 [18:14<9:33:53, 1.62it/s] 3%|▎ | 1737/57600 [18:15<9:50:24, 1.58it/s] 3%|▎ | 1738/57600 [18:16<10:04:00, 1.54it/s] 3%|▎ | 1739/57600 [18:16<9:50:45, 1.58it/s] 3%|▎ | 1740/57600 [18:17<9:39:06, 1.61it/s] {'loss': 1.6816, 'learning_rate': 9.758536585365853e-07, 'epoch': 19.21} | |
| 3%|▎ | 1740/57600 [18:17<9:39:06, 1.61it/s] 3%|▎ | 1741/57600 [18:18<9:40:49, 1.60it/s] 3%|▎ | 1742/57600 [18:18<9:36:10, 1.62it/s] 3%|▎ | 1743/57600 [18:19<9:23:14, 1.65it/s] 3%|▎ | 1744/57600 [18:19<9:27:29, 1.64it/s] 3%|▎ | 1745/57600 [18:20<9:18:50, 1.67it/s] 3%|▎ | 1746/57600 [18:21<9:19:37, 1.66it/s] 3%|▎ | 1747/57600 [18:21<9:13:35, 1.68it/s] 3%|▎ | 1748/57600 [18:22<9:13:18, 1.68it/s] 3%|▎ | 1749/57600 [18:22<9:43:12, 1.60it/s] 3%|▎ | 1750/57600 [18:23<9:58:42, 1.55it/s] 3%|▎ | 1751/57600 [18:24<10:12:49, 1.52it/s] 3%|▎ | 1752/57600 [18:24<10:10:09, 1.53it/s] 3%|▎ | 1753/57600 [18:25<9:45:31, 1.59it/s] 3%|▎ | 1754/57600 [18:26<9:25:57, 1.64it/s] 3%|▎ | 1755/57600 [18:26<9:24:42, 1.65it/s] 3%|▎ | 1756/57600 [18:27<9:52:04, 1.57it/s] 3%|▎ | 1757/57600 [18:27<9:31:43, 1.63it/s] 3%|▎ | 1758/57600 [18:28<9:30:29, 1.63it/s] 3%|▎ | 1759/57600 [18:29<9:25:05, 1.65it/s] 3%|▎ | 1760/57600 [18:29<9:29:03, 1.64it/s] {'loss': 1.7307, 'learning_rate': 9.755400696864111e-07, 'epoch': 19.43} | |
| 3%|▎ | 1760/57600 [18:29<9:29:03, 1.64it/s] 3%|▎ | 1761/57600 [18:30<9:45:54, 1.59it/s] 3%|▎ | 1762/57600 [18:31<9:36:38, 1.61it/s] 3%|▎ | 1763/57600 [18:31<9:41:43, 1.60it/s] 3%|▎ | 1764/57600 [18:32<9:24:30, 1.65it/s] 3%|▎ | 1765/57600 [18:32<9:15:15, 1.68it/s] 3%|▎ | 1766/57600 [18:33<9:23:42, 1.65it/s] 3%|▎ | 1767/57600 [18:34<9:39:54, 1.60it/s] 3%|▎ | 1768/57600 [18:34<10:03:03, 1.54it/s] 3%|▎ | 1769/57600 [18:35<10:26:54, 1.48it/s] 3%|▎ | 1770/57600 [18:36<10:14:04, 1.52it/s] 3%|▎ | 1771/57600 [18:36<10:02:20, 1.54it/s] 3%|▎ | 1772/57600 [18:37<10:01:18, 1.55it/s] 3%|▎ | 1773/57600 [18:38<9:38:25, 1.61it/s] 3%|▎ | 1774/57600 [18:38<9:39:43, 1.60it/s] 3%|▎ | 1775/57600 [18:39<9:26:35, 1.64it/s] 3%|▎ | 1776/57600 [18:39<9:28:56, 1.64it/s] 3%|▎ | 1777/57600 [18:40<9:23:43, 1.65it/s] 3%|▎ | 1778/57600 [18:41<9:33:08, 1.62it/s] 3%|▎ | 1779/57600 [18:41<9:33:50, 1.62it/s] 3%|▎ | 1780/57600 [18:42<9:38:05, 1.61it/s] {'loss': 1.7313, 'learning_rate': 9.75226480836237e-07, 'epoch': 19.65} | |
| 3%|▎ | 1780/57600 [18:42<9:38:05, 1.61it/s] 3%|▎ | 1781/57600 [18:42<9:22:25, 1.65it/s] 3%|▎ | 1782/57600 [18:43<9:38:11, 1.61it/s] 3%|▎ | 1783/57600 [18:44<9:44:22, 1.59it/s] 3%|▎ | 1784/57600 [18:44<9:44:57, 1.59it/s] 3%|▎ | 1785/57600 [18:45<9:49:59, 1.58it/s] 3%|▎ | 1786/57600 [18:46<9:41:57, 1.60it/s] 3%|▎ | 1787/57600 [18:46<9:46:48, 1.59it/s] 3%|▎ | 1788/57600 [18:47<9:41:54, 1.60it/s] 3%|▎ | 1789/57600 [18:47<9:27:35, 1.64it/s] 3%|▎ | 1790/57600 [18:48<9:24:17, 1.65it/s] 3%|▎ | 1791/57600 [18:49<9:13:28, 1.68it/s] 3%|▎ | 1792/57600 [18:49<9:24:21, 1.65it/s] 3%|▎ | 1793/57600 [18:50<9:09:19, 1.69it/s] 3%|▎ | 1794/57600 [18:51<9:52:56, 1.57it/s] 3%|▎ | 1795/57600 [18:51<9:48:57, 1.58it/s] 3%|▎ | 1796/57600 [18:52<9:33:02, 1.62it/s] 3%|▎ | 1797/57600 [18:52<9:41:57, 1.60it/s] 3%|▎ | 1798/57600 [18:53<9:38:40, 1.61it/s] 3%|▎ | 1799/57600 [18:54<9:32:00, 1.63it/s] 3%|▎ | 1800/57600 [18:54<9:46:56, 1.58it/s] {'loss': 1.7407, 'learning_rate': 9.749128919860627e-07, 'epoch': 19.87} | |
| 3%|▎ | 1800/57600 [18:54<9:46:56, 1.58it/s] 3%|▎ | 1801/57600 [18:55<9:42:34, 1.60it/s] 3%|▎ | 1802/57600 [18:55<9:30:33, 1.63it/s] 3%|▎ | 1803/57600 [18:56<9:46:05, 1.59it/s] 3%|▎ | 1804/57600 [18:57<9:53:46, 1.57it/s] 3%|▎ | 1805/57600 [18:57<10:08:01, 1.53it/s] 3%|▎ | 1806/57600 [18:58<10:16:06, 1.51it/s] 3%|▎ | 1807/57600 [18:59<9:56:56, 1.56it/s] 3%|▎ | 1808/57600 [18:59<10:05:45, 1.54it/s] 3%|▎ | 1809/57600 [19:00<9:44:28, 1.59it/s] 3%|▎ | 1810/57600 [19:01<9:37:10, 1.61it/s] 3%|▎ | 1811/57600 [19:01<9:50:55, 1.57it/s] 3%|▎ | 1812/57600 [19:02<9:52:31, 1.57it/s] 3%|▎ | 1813/57600 [19:03<9:54:57, 1.56it/s] 3%|▎ | 1814/57600 [19:03<10:01:46, 1.55it/s] 3%|▎ | 1815/57600 [19:04<9:59:15, 1.55it/s] 3%|▎ | 1816/57600 [19:05<10:06:49, 1.53it/s] 3%|▎ | 1817/57600 [19:05<9:43:55, 1.59it/s] 3%|▎ | 1818/57600 [19:06<9:58:13, 1.55it/s] 3%|▎ | 1819/57600 [19:06<9:51:43, 1.57it/s] 3%|▎ | 1820/57600 [19:07<10:00:13, 1.55it/s] {'loss': 1.6885, 'learning_rate': 9.745993031358883e-07, 'epoch': 20.09} | |
| 3%|▎ | 1820/57600 [19:07<10:00:13, 1.55it/s] 3%|▎ | 1821/57600 [19:08<9:47:39, 1.58it/s] 3%|▎ | 1822/57600 [19:08<9:42:52, 1.59it/s] 3%|▎ | 1823/57600 [19:09<9:36:11, 1.61it/s] 3%|▎ | 1824/57600 [19:10<9:45:58, 1.59it/s] 3%|▎ | 1825/57600 [19:10<9:59:40, 1.55it/s] 3%|▎ | 1826/57600 [19:11<9:45:29, 1.59it/s] 3%|▎ | 1827/57600 [19:11<9:45:40, 1.59it/s] 3%|▎ | 1828/57600 [19:12<9:34:59, 1.62it/s] 3%|▎ | 1829/57600 [19:13<9:47:09, 1.58it/s] 3%|▎ | 1830/57600 [19:13<9:52:02, 1.57it/s] 3%|▎ | 1831/57600 [19:14<9:49:17, 1.58it/s] 3%|▎ | 1832/57600 [19:15<9:33:02, 1.62it/s] 3%|▎ | 1833/57600 [19:15<9:23:55, 1.65it/s] 3%|▎ | 1834/57600 [19:16<9:23:17, 1.65it/s] 3%|▎ | 1835/57600 [19:16<9:44:54, 1.59it/s] 3%|▎ | 1836/57600 [19:17<9:37:56, 1.61it/s] 3%|▎ | 1837/57600 [19:18<9:38:29, 1.61it/s] 3%|▎ | 1838/57600 [19:18<9:26:49, 1.64it/s] 3%|▎ | 1839/57600 [19:19<9:35:13, 1.62it/s] 3%|▎ | 1840/57600 [19:19<9:19:46, 1.66it/s] {'loss': 1.6741, 'learning_rate': 9.742857142857142e-07, 'epoch': 20.31} | |
| 3%|▎ | 1840/57600 [19:19<9:19:46, 1.66it/s] 3%|▎ | 1841/57600 [19:20<9:13:51, 1.68it/s] 3%|▎ | 1842/57600 [19:21<9:28:51, 1.63it/s] 3%|▎ | 1843/57600 [19:21<9:35:59, 1.61it/s] 3%|▎ | 1844/57600 [19:22<9:32:13, 1.62it/s] 3%|▎ | 1845/57600 [19:23<9:39:43, 1.60it/s] 3%|▎ | 1846/57600 [19:23<9:49:31, 1.58it/s] 3%|▎ | 1847/57600 [19:24<10:03:54, 1.54it/s] 3%|▎ | 1848/57600 [19:24<9:52:26, 1.57it/s] 3%|▎ | 1849/57600 [19:25<9:43:59, 1.59it/s] 3%|▎ | 1850/57600 [19:26<9:55:17, 1.56it/s] 3%|▎ | 1851/57600 [19:26<9:45:37, 1.59it/s] 3%|▎ | 1852/57600 [19:27<9:46:02, 1.59it/s] 3%|▎ | 1853/57600 [19:28<9:39:23, 1.60it/s] 3%|▎ | 1854/57600 [19:28<9:27:13, 1.64it/s] 3%|▎ | 1855/57600 [19:29<9:39:39, 1.60it/s] 3%|▎ | 1856/57600 [19:30<9:51:32, 1.57it/s] 3%|▎ | 1857/57600 [19:30<10:05:57, 1.53it/s] 3%|▎ | 1858/57600 [19:31<9:45:55, 1.59it/s] 3%|▎ | 1859/57600 [19:31<9:39:56, 1.60it/s] 3%|▎ | 1860/57600 [19:32<9:34:32, 1.62it/s] {'loss': 1.6958, 'learning_rate': 9.7397212543554e-07, 'epoch': 20.53} | |
| 3%|▎ | 1860/57600 [19:32<9:34:32, 1.62it/s] 3%|▎ | 1861/57600 [19:33<9:55:45, 1.56it/s] 3%|▎ | 1862/57600 [19:33<9:48:23, 1.58it/s] 3%|▎ | 1863/57600 [19:34<9:50:40, 1.57it/s] 3%|▎ | 1864/57600 [19:35<9:45:34, 1.59it/s] 3%|▎ | 1865/57600 [19:35<9:41:13, 1.60it/s] 3%|▎ | 1866/57600 [19:36<9:51:43, 1.57it/s] 3%|▎ | 1867/57600 [19:36<9:47:47, 1.58it/s] 3%|▎ | 1868/57600 [19:37<9:51:11, 1.57it/s] 3%|▎ | 1869/57600 [19:38<9:44:17, 1.59it/s] 3%|▎ | 1870/57600 [19:38<9:40:02, 1.60it/s] 3%|▎ | 1871/57600 [19:39<9:32:58, 1.62it/s] 3%|▎ | 1872/57600 [19:40<9:30:41, 1.63it/s] 3%|▎ | 1873/57600 [19:40<9:28:22, 1.63it/s] 3%|▎ | 1874/57600 [19:41<9:17:34, 1.67it/s] 3%|▎ | 1875/57600 [19:41<9:28:53, 1.63it/s] 3%|▎ | 1876/57600 [19:42<9:56:17, 1.56it/s] 3%|▎ | 1877/57600 [19:43<9:57:41, 1.55it/s] 3%|▎ | 1878/57600 [19:43<9:37:41, 1.61it/s] 3%|▎ | 1879/57600 [19:44<9:36:13, 1.61it/s] 3%|▎ | 1880/57600 [19:44<9:25:08, 1.64it/s] {'loss': 1.7036, 'learning_rate': 9.736585365853659e-07, 'epoch': 20.75} | |
| 3%|▎ | 1880/57600 [19:44<9:25:08, 1.64it/s] 3%|▎ | 1881/57600 [19:45<9:20:43, 1.66it/s] 3%|▎ | 1882/57600 [19:46<9:43:36, 1.59it/s] 3%|▎ | 1883/57600 [19:46<9:33:29, 1.62it/s] 3%|▎ | 1884/57600 [19:47<9:48:18, 1.58it/s] 3%|▎ | 1885/57600 [19:48<9:42:58, 1.59it/s] 3%|▎ | 1886/57600 [19:48<10:18:36, 1.50it/s] 3%|▎ | 1887/57600 [19:49<10:08:18, 1.53it/s] 3%|▎ | 1888/57600 [19:50<10:02:09, 1.54it/s] 3%|▎ | 1889/57600 [19:50<10:15:23, 1.51it/s] 3%|▎ | 1890/57600 [19:51<9:48:22, 1.58it/s] 3%|▎ | 1891/57600 [19:52<9:34:09, 1.62it/s] 3%|▎ | 1892/57600 [19:52<9:32:04, 1.62it/s] 3%|▎ | 1893/57600 [19:53<9:46:19, 1.58it/s] 3%|▎ | 1894/57600 [19:53<9:48:22, 1.58it/s] 3%|▎ | 1895/57600 [19:54<9:53:58, 1.56it/s] 3%|▎ | 1896/57600 [19:55<9:42:47, 1.59it/s] 3%|▎ | 1897/57600 [19:55<9:51:52, 1.57it/s] 3%|▎ | 1898/57600 [19:56<9:57:38, 1.55it/s] 3%|▎ | 1899/57600 [19:57<9:34:34, 1.62it/s] 3%|▎ | 1900/57600 [19:57<9:36:05, 1.61it/s] {'loss': 1.7489, 'learning_rate': 9.733449477351917e-07, 'epoch': 20.97} | |
| 3%|▎ | 1900/57600 [19:57<9:36:05, 1.61it/s] 3%|▎ | 1901/57600 [19:58<9:28:00, 1.63it/s] 3%|▎ | 1902/57600 [19:58<9:32:58, 1.62it/s] 3%|▎ | 1903/57600 [19:59<9:43:57, 1.59it/s] 3%|▎ | 1904/57600 [20:00<9:35:04, 1.61it/s] 3%|▎ | 1905/57600 [20:00<9:38:08, 1.61it/s] 3%|▎ | 1906/57600 [20:01<9:47:32, 1.58it/s] 3%|▎ | 1907/57600 [20:02<9:37:41, 1.61it/s] 3%|▎ | 1908/57600 [20:02<9:44:55, 1.59it/s] 3%|▎ | 1909/57600 [20:03<9:29:36, 1.63it/s] 3%|▎ | 1910/57600 [20:03<9:26:43, 1.64it/s] 3%|▎ | 1911/57600 [20:04<9:26:15, 1.64it/s] 3%|▎ | 1912/57600 [20:05<10:01:59, 1.54it/s] 3%|▎ | 1913/57600 [20:05<10:04:48, 1.53it/s] 3%|▎ | 1914/57600 [20:06<9:57:18, 1.55it/s] 3%|▎ | 1915/57600 [20:07<9:49:46, 1.57it/s] 3%|▎ | 1916/57600 [20:07<9:45:16, 1.59it/s] 3%|▎ | 1917/57600 [20:08<9:51:03, 1.57it/s] 3%|▎ | 1918/57600 [20:09<10:00:37, 1.55it/s] 3%|▎ | 1919/57600 [20:09<9:44:17, 1.59it/s] 3%|▎ | 1920/57600 [20:10<9:41:07, 1.60it/s] {'loss': 1.7719, 'learning_rate': 9.730313588850174e-07, 'epoch': 21.19} | |
| 3%|▎ | 1920/57600 [20:10<9:41:07, 1.60it/s] 3%|▎ | 1921/57600 [20:10<9:59:45, 1.55it/s] 3%|▎ | 1922/57600 [20:11<10:09:12, 1.52it/s] 3%|▎ | 1923/57600 [20:12<10:02:41, 1.54it/s] 3%|▎ | 1924/57600 [20:12<10:02:38, 1.54it/s] 3%|▎ | 1925/57600 [20:13<9:52:08, 1.57it/s] 3%|▎ | 1926/57600 [20:14<9:46:19, 1.58it/s] 3%|▎ | 1927/57600 [20:14<9:55:55, 1.56it/s] 3%|▎ | 1928/57600 [20:15<9:52:57, 1.56it/s] 3%|▎ | 1929/57600 [20:16<9:34:03, 1.62it/s] 3%|▎ | 1930/57600 [20:16<10:12:25, 1.52it/s] 3%|▎ | 1931/57600 [20:17<9:56:33, 1.56it/s] 3%|▎ | 1932/57600 [20:17<9:41:28, 1.60it/s] 3%|▎ | 1933/57600 [20:18<9:34:26, 1.62it/s] 3%|▎ | 1934/57600 [20:19<9:19:34, 1.66it/s] 3%|▎ | 1935/57600 [20:19<9:19:11, 1.66it/s] 3%|▎ | 1936/57600 [20:20<9:31:40, 1.62it/s] 3%|▎ | 1937/57600 [20:21<9:41:02, 1.60it/s] 3%|▎ | 1938/57600 [20:21<9:31:10, 1.62it/s] 3%|▎ | 1939/57600 [20:22<9:53:08, 1.56it/s] 3%|▎ | 1940/57600 [20:22<9:37:15, 1.61it/s] {'loss': 1.7401, 'learning_rate': 9.72717770034843e-07, 'epoch': 21.41} | |
| 3%|▎ | 1940/57600 [20:22<9:37:15, 1.61it/s] 3%|▎ | 1941/57600 [20:23<9:21:46, 1.65it/s] 3%|▎ | 1942/57600 [20:24<9:36:46, 1.61it/s] 3%|▎ | 1943/57600 [20:24<9:43:24, 1.59it/s] 3%|▎ | 1944/57600 [20:25<9:35:00, 1.61it/s] 3%|▎ | 1945/57600 [20:25<9:30:46, 1.63it/s] 3%|▎ | 1946/57600 [20:26<9:39:19, 1.60it/s] 3%|▎ | 1947/57600 [20:27<9:52:01, 1.57it/s] 3%|▎ | 1948/57600 [20:27<9:47:55, 1.58it/s] 3%|▎ | 1949/57600 [20:28<10:02:29, 1.54it/s] 3%|▎ | 1950/57600 [20:29<9:40:27, 1.60it/s] 3%|▎ | 1951/57600 [20:29<9:49:05, 1.57it/s] 3%|▎ | 1952/57600 [20:30<9:31:40, 1.62it/s] 3%|▎ | 1953/57600 [20:31<10:01:15, 1.54it/s] 3%|▎ | 1954/57600 [20:31<10:03:12, 1.54it/s] 3%|▎ | 1955/57600 [20:32<9:46:03, 1.58it/s] 3%|▎ | 1956/57600 [20:33<9:43:26, 1.59it/s] 3%|▎ | 1957/57600 [20:33<10:02:13, 1.54it/s] 3%|▎ | 1958/57600 [20:34<9:57:31, 1.55it/s] 3%|▎ | 1959/57600 [20:34<9:51:08, 1.57it/s] 3%|▎ | 1960/57600 [20:35<9:48:59, 1.57it/s] {'loss': 1.7247, 'learning_rate': 9.724041811846689e-07, 'epoch': 21.63} | |
| 3%|▎ | 1960/57600 [20:35<9:48:59, 1.57it/s] 3%|▎ | 1961/57600 [20:36<9:53:42, 1.56it/s] 3%|▎ | 1962/57600 [20:36<9:51:20, 1.57it/s] 3%|▎ | 1963/57600 [20:37<10:26:12, 1.48it/s] 3%|▎ | 1964/57600 [20:38<9:59:12, 1.55it/s] 3%|▎ | 1965/57600 [20:38<10:01:37, 1.54it/s] 3%|▎ | 1966/57600 [20:39<9:51:49, 1.57it/s] 3%|▎ | 1967/57600 [20:40<9:38:18, 1.60it/s] 3%|▎ | 1968/57600 [20:40<9:33:48, 1.62it/s] 3%|▎ | 1969/57600 [20:41<9:19:28, 1.66it/s] 3%|▎ | 1970/57600 [20:41<9:20:56, 1.65it/s] 3%|▎ | 1971/57600 [20:42<9:36:53, 1.61it/s] 3%|▎ | 1972/57600 [20:43<9:42:33, 1.59it/s] 3%|▎ | 1973/57600 [20:43<9:27:01, 1.64it/s] 3%|▎ | 1974/57600 [20:44<9:18:21, 1.66it/s] 3%|▎ | 1975/57600 [20:44<9:09:24, 1.69it/s] 3%|▎ | 1976/57600 [20:45<9:26:32, 1.64it/s] 3%|▎ | 1977/57600 [20:46<9:29:43, 1.63it/s] 3%|▎ | 1978/57600 [20:46<9:30:33, 1.62it/s] 3%|▎ | 1979/57600 [20:47<9:49:06, 1.57it/s] 3%|▎ | 1980/57600 [20:48<9:37:45, 1.60it/s] {'loss': 1.7175, 'learning_rate': 9.720905923344947e-07, 'epoch': 21.85} | |
| 3%|▎ | 1980/57600 [20:48<9:37:45, 1.60it/s] 3%|▎ | 1981/57600 [20:48<9:24:23, 1.64it/s] 3%|▎ | 1982/57600 [20:49<9:33:06, 1.62it/s] 3%|▎ | 1983/57600 [20:49<9:49:48, 1.57it/s] 3%|▎ | 1984/57600 [20:50<10:04:48, 1.53it/s] 3%|▎ | 1985/57600 [20:51<9:47:17, 1.58it/s] 3%|▎ | 1986/57600 [20:51<9:33:20, 1.62it/s] 3%|▎ | 1987/57600 [20:52<9:27:01, 1.63it/s] 3%|▎ | 1988/57600 [20:53<9:37:40, 1.60it/s] 3%|▎ | 1989/57600 [20:53<9:26:25, 1.64it/s] 3%|▎ | 1990/57600 [20:54<9:23:21, 1.65it/s] 3%|▎ | 1991/57600 [20:54<9:22:29, 1.65it/s] 3%|▎ | 1992/57600 [20:55<9:26:22, 1.64it/s] 3%|▎ | 1993/57600 [20:56<9:48:02, 1.58it/s] 3%|▎ | 1994/57600 [20:56<10:16:04, 1.50it/s] 3%|▎ | 1995/57600 [20:57<10:06:36, 1.53it/s] 3%|▎ | 1996/57600 [20:58<9:53:30, 1.56it/s] 3%|▎ | 1997/57600 [20:58<9:42:54, 1.59it/s] 3%|▎ | 1998/57600 [20:59<9:47:49, 1.58it/s] 3%|▎ | 1999/57600 [20:59<9:38:57, 1.60it/s] 3%|▎ | 2000/57600 [21:00<9:29:47, 1.63it/s] {'loss': 1.7288, 'learning_rate': 9.717770034843206e-07, 'epoch': 22.08} | |
| 3%|▎ | 2000/57600 [21:00<9:29:47, 1.63it/s] 3%|▎ | 2001/57600 [21:01<9:30:31, 1.62it/s] 3%|▎ | 2002/57600 [21:01<10:01:40, 1.54it/s] 3%|▎ | 2003/57600 [21:02<10:11:53, 1.51it/s] 3%|▎ | 2004/57600 [21:03<10:04:40, 1.53it/s] 3%|▎ | 2005/57600 [21:03<9:53:15, 1.56it/s] 3%|▎ | 2006/57600 [21:04<9:52:26, 1.56it/s] 3%|▎ | 2007/57600 [21:05<9:40:40, 1.60it/s] 3%|▎ | 2008/57600 [21:05<9:36:32, 1.61it/s] 3%|▎ | 2009/57600 [21:06<9:37:29, 1.60it/s] 3%|▎ | 2010/57600 [21:06<9:41:48, 1.59it/s] 3%|▎ | 2011/57600 [21:07<9:44:05, 1.59it/s] 3%|▎ | 2012/57600 [21:08<9:43:25, 1.59it/s] 3%|▎ | 2013/57600 [21:08<9:51:40, 1.57it/s] 3%|▎ | 2014/57600 [21:09<9:56:25, 1.55it/s] 3%|▎ | 2015/57600 [21:10<9:33:49, 1.61it/s] 4%|▎ | 2016/57600 [21:10<9:32:07, 1.62it/s] 4%|▎ | 2017/57600 [21:11<9:22:31, 1.65it/s] 4%|▎ | 2018/57600 [21:11<9:32:52, 1.62it/s] 4%|▎ | 2019/57600 [21:12<9:27:09, 1.63it/s] 4%|▎ | 2020/57600 [21:13<9:36:13, 1.61it/s] {'loss': 1.7068, 'learning_rate': 9.714634146341462e-07, 'epoch': 22.3} | |
| 4%|▎ | 2020/57600 [21:13<9:36:13, 1.61it/s] 4%|▎ | 2021/57600 [21:13<9:25:06, 1.64it/s] 4%|▎ | 2022/57600 [21:14<9:26:39, 1.63it/s] 4%|▎ | 2023/57600 [21:15<9:52:20, 1.56it/s] 4%|▎ | 2024/57600 [21:15<9:41:37, 1.59it/s] 4%|▎ | 2025/57600 [21:16<10:00:10, 1.54it/s] 4%|▎ | 2026/57600 [21:17<9:56:26, 1.55it/s] 4%|▎ | 2027/57600 [21:17<9:36:08, 1.61it/s] 4%|▎ | 2028/57600 [21:18<9:35:45, 1.61it/s] 4%|▎ | 2029/57600 [21:18<9:29:09, 1.63it/s] 4%|▎ | 2030/57600 [21:19<9:45:45, 1.58it/s] 4%|▎ | 2031/57600 [21:20<9:48:39, 1.57it/s] 4%|▎ | 2032/57600 [21:20<9:33:55, 1.61it/s] 4%|▎ | 2033/57600 [21:21<9:35:16, 1.61it/s] 4%|▎ | 2034/57600 [21:21<9:45:27, 1.58it/s] 4%|▎ | 2035/57600 [21:22<9:56:02, 1.55it/s] 4%|▎ | 2036/57600 [21:23<10:05:39, 1.53it/s] 4%|▎ | 2037/57600 [21:23<9:54:03, 1.56it/s] 4%|▎ | 2038/57600 [21:24<9:46:01, 1.58it/s] 4%|▎ | 2039/57600 [21:25<9:41:45, 1.59it/s] 4%|▎ | 2040/57600 [21:25<9:37:09, 1.60it/s] {'loss': 1.6812, 'learning_rate': 9.71149825783972e-07, 'epoch': 22.52} | |
| 4%|▎ | 2040/57600 [21:25<9:37:09, 1.60it/s] 4%|▎ | 2041/57600 [21:26<9:45:33, 1.58it/s] 4%|▎ | 2042/57600 [21:27<9:33:27, 1.61it/s] 4%|▎ | 2043/57600 [21:27<9:30:39, 1.62it/s] 4%|▎ | 2044/57600 [21:28<9:40:25, 1.60it/s] 4%|▎ | 2045/57600 [21:28<9:59:21, 1.54it/s] 4%|▎ | 2046/57600 [21:29<10:03:11, 1.53it/s] 4%|▎ | 2047/57600 [21:30<10:00:42, 1.54it/s] 4%|▎ | 2048/57600 [21:30<9:47:51, 1.57it/s] 4%|▎ | 2049/57600 [21:31<9:54:55, 1.56it/s] 4%|▎ | 2050/57600 [21:32<10:11:42, 1.51it/s] 4%|▎ | 2051/57600 [21:32<10:03:30, 1.53it/s] 4%|▎ | 2052/57600 [21:33<9:57:08, 1.55it/s] 4%|▎ | 2053/57600 [21:34<9:58:11, 1.55it/s] 4%|▎ | 2054/57600 [21:34<9:39:03, 1.60it/s] 4%|▎ | 2055/57600 [21:35<9:34:04, 1.61it/s] 4%|▎ | 2056/57600 [21:35<9:42:20, 1.59it/s] 4%|▎ | 2057/57600 [21:36<10:02:16, 1.54it/s] 4%|▎ | 2058/57600 [21:37<9:40:07, 1.60it/s] 4%|▎ | 2059/57600 [21:37<9:34:05, 1.61it/s] 4%|▎ | 2060/57600 [21:38<9:48:02, 1.57it/s] {'loss': 1.6772, 'learning_rate': 9.708362369337977e-07, 'epoch': 22.74} | |
| 4%|▎ | 2060/57600 [21:38<9:48:02, 1.57it/s] 4%|▎ | 2061/57600 [21:39<9:47:17, 1.58it/s] 4%|▎ | 2062/57600 [21:39<10:06:34, 1.53it/s] 4%|▎ | 2063/57600 [21:40<10:08:47, 1.52it/s] 4%|▎ | 2064/57600 [21:41<9:57:47, 1.55it/s] 4%|▎ | 2065/57600 [21:41<10:10:44, 1.52it/s] 4%|▎ | 2066/57600 [21:42<10:04:18, 1.53it/s] 4%|▎ | 2067/57600 [21:43<10:33:17, 1.46it/s] 4%|▎ | 2068/57600 [21:43<10:23:05, 1.49it/s] 4%|▎ | 2069/57600 [21:44<10:15:23, 1.50it/s] 4%|▎ | 2070/57600 [21:45<10:06:34, 1.53it/s] 4%|▎ | 2071/57600 [21:45<9:48:10, 1.57it/s] 4%|▎ | 2072/57600 [21:46<9:40:23, 1.59it/s] 4%|▎ | 2073/57600 [21:47<9:44:23, 1.58it/s] 4%|▎ | 2074/57600 [21:47<9:55:57, 1.55it/s] 4%|▎ | 2075/57600 [21:48<9:50:06, 1.57it/s] 4%|▎ | 2076/57600 [21:48<9:40:20, 1.59it/s] 4%|▎ | 2077/57600 [21:49<9:47:55, 1.57it/s] 4%|▎ | 2078/57600 [21:50<9:40:46, 1.59it/s] 4%|▎ | 2079/57600 [21:50<9:49:20, 1.57it/s] 4%|▎ | 2080/57600 [21:51<10:02:24, 1.54it/s] {'loss': 1.7103, 'learning_rate': 9.705226480836236e-07, 'epoch': 22.96} | |
| 4%|▎ | 2080/57600 [21:51<10:02:24, 1.54it/s] 4%|▎ | 2081/57600 [21:52<9:41:56, 1.59it/s] 4%|▎ | 2082/57600 [21:52<9:33:07, 1.61it/s] 4%|▎ | 2083/57600 [21:53<9:30:36, 1.62it/s] 4%|▎ | 2084/57600 [21:53<9:43:49, 1.58it/s] 4%|▎ | 2085/57600 [21:54<10:10:55, 1.51it/s] 4%|▎ | 2086/57600 [21:55<9:56:07, 1.55it/s] 4%|▎ | 2087/57600 [21:55<9:42:13, 1.59it/s] 4%|▎ | 2088/57600 [21:56<10:03:36, 1.53it/s] 4%|▎ | 2089/57600 [21:57<10:26:25, 1.48it/s] 4%|▎ | 2090/57600 [21:57<10:18:01, 1.50it/s] 4%|▎ | 2091/57600 [21:58<9:56:30, 1.55it/s] 4%|▎ | 2092/57600 [21:59<9:51:02, 1.57it/s] 4%|▎ | 2093/57600 [21:59<9:40:34, 1.59it/s] 4%|▎ | 2094/57600 [22:00<9:26:08, 1.63it/s] 4%|▎ | 2095/57600 [22:01<9:35:57, 1.61it/s] 4%|▎ | 2096/57600 [22:01<9:28:47, 1.63it/s] 4%|▎ | 2097/57600 [22:02<9:42:54, 1.59it/s] 4%|▎ | 2098/57600 [22:02<9:24:54, 1.64it/s] 4%|▎ | 2099/57600 [22:03<9:38:29, 1.60it/s] 4%|▎ | 2100/57600 [22:04<9:49:48, 1.57it/s] {'loss': 1.6984, 'learning_rate': 9.702090592334495e-07, 'epoch': 23.18} | |
| 4%|▎ | 2100/57600 [22:04<9:49:48, 1.57it/s] 4%|▎ | 2101/57600 [22:04<9:38:03, 1.60it/s] 4%|▎ | 2102/57600 [22:05<9:29:23, 1.62it/s] 4%|▎ | 2103/57600 [22:06<9:37:25, 1.60it/s] 4%|▎ | 2104/57600 [22:06<10:15:25, 1.50it/s] 4%|▎ | 2105/57600 [22:07<10:01:08, 1.54it/s] 4%|▎ | 2106/57600 [22:07<9:34:20, 1.61it/s] 4%|▎ | 2107/57600 [22:08<10:01:01, 1.54it/s] 4%|▎ | 2108/57600 [22:09<9:55:20, 1.55it/s] 4%|▎ | 2109/57600 [22:09<9:47:37, 1.57it/s] 4%|▎ | 2110/57600 [22:10<9:49:28, 1.57it/s] 4%|▎ | 2111/57600 [22:11<10:04:02, 1.53it/s] 4%|▎ | 2112/57600 [22:11<10:11:57, 1.51it/s] 4%|▎ | 2113/57600 [22:12<10:30:59, 1.47it/s] 4%|▎ | 2114/57600 [22:13<10:02:18, 1.54it/s] 4%|▎ | 2115/57600 [22:13<10:10:34, 1.51it/s] 4%|▎ | 2116/57600 [22:14<10:08:16, 1.52it/s] 4%|▎ | 2117/57600 [22:15<10:07:09, 1.52it/s] 4%|▎ | 2118/57600 [22:15<9:55:57, 1.55it/s] 4%|▎ | 2119/57600 [22:16<10:14:44, 1.50it/s] 4%|▎ | 2120/57600 [22:17<10:02:49, 1.53it/s] {'loss': 1.7281, 'learning_rate': 9.698954703832753e-07, 'epoch': 23.4} | |
| 4%|▎ | 2120/57600 [22:17<10:02:49, 1.53it/s] 4%|▎ | 2121/57600 [22:17<9:51:21, 1.56it/s] 4%|▎ | 2122/57600 [22:18<9:49:27, 1.57it/s] 4%|▎ | 2123/57600 [22:19<9:37:31, 1.60it/s] 4%|▎ | 2124/57600 [22:19<9:24:42, 1.64it/s] 4%|▎ | 2125/57600 [22:20<9:19:13, 1.65it/s] 4%|▎ | 2126/57600 [22:20<9:44:40, 1.58it/s] 4%|▎ | 2127/57600 [22:21<9:52:43, 1.56it/s] 4%|▎ | 2128/57600 [22:22<9:53:54, 1.56it/s] 4%|▎ | 2129/57600 [22:22<9:48:11, 1.57it/s] 4%|▎ | 2130/57600 [22:23<9:40:38, 1.59it/s] 4%|▎ | 2131/57600 [22:24<9:39:14, 1.60it/s] 4%|▎ | 2132/57600 [22:24<10:04:07, 1.53it/s] 4%|▎ | 2133/57600 [22:25<10:22:38, 1.48it/s] 4%|▎ | 2134/57600 [22:26<10:26:11, 1.48it/s] 4%|▎ | 2135/57600 [22:26<10:02:54, 1.53it/s] 4%|▎ | 2136/57600 [22:27<10:04:12, 1.53it/s] 4%|▎ | 2137/57600 [22:28<9:54:52, 1.55it/s] 4%|▎ | 2138/57600 [22:28<9:53:54, 1.56it/s] 4%|▎ | 2139/57600 [22:29<9:55:05, 1.55it/s] 4%|▎ | 2140/57600 [22:29<9:44:40, 1.58it/s] {'loss': 1.7123, 'learning_rate': 9.695818815331012e-07, 'epoch': 23.62} | |
| 4%|▎ | 2140/57600 [22:29<9:44:40, 1.58it/s] 4%|▎ | 2141/57600 [22:30<9:57:19, 1.55it/s] 4%|▎ | 2142/57600 [22:31<9:57:03, 1.55it/s] 4%|▎ | 2143/57600 [22:31<9:46:42, 1.58it/s] 4%|▎ | 2144/57600 [22:32<9:45:47, 1.58it/s] 4%|▎ | 2145/57600 [22:33<9:20:49, 1.65it/s] 4%|▎ | 2146/57600 [22:33<9:24:06, 1.64it/s] 4%|▎ | 2147/57600 [22:34<9:32:35, 1.61it/s] 4%|▎ | 2148/57600 [22:35<10:00:46, 1.54it/s] 4%|▎ | 2149/57600 [22:35<9:47:22, 1.57it/s] 4%|▎ | 2150/57600 [22:36<9:43:26, 1.58it/s] 4%|▎ | 2151/57600 [22:36<9:38:28, 1.60it/s] 4%|▎ | 2152/57600 [22:37<9:50:32, 1.56it/s] 4%|▎ | 2153/57600 [22:38<9:35:26, 1.61it/s] 4%|▎ | 2154/57600 [22:38<9:33:09, 1.61it/s] 4%|▎ | 2155/57600 [22:39<9:20:32, 1.65it/s] 4%|▎ | 2156/57600 [22:39<9:36:58, 1.60it/s] 4%|▎ | 2157/57600 [22:40<9:29:21, 1.62it/s] 4%|▎ | 2158/57600 [22:41<9:26:30, 1.63it/s] 4%|▎ | 2159/57600 [22:41<9:17:06, 1.66it/s] 4%|▍ | 2160/57600 [22:42<9:14:58, 1.66it/s] {'loss': 1.7174, 'learning_rate': 9.692682926829266e-07, 'epoch': 23.84} | |
| 4%|▍ | 2160/57600 [22:42<9:14:58, 1.66it/s] 4%|▍ | 2161/57600 [22:42<9:25:47, 1.63it/s] 4%|▍ | 2162/57600 [22:43<9:20:33, 1.65it/s] 4%|▍ | 2163/57600 [22:44<9:33:33, 1.61it/s] 4%|▍ | 2164/57600 [22:44<9:30:40, 1.62it/s] 4%|▍ | 2165/57600 [22:45<9:34:02, 1.61it/s] 4%|▍ | 2166/57600 [22:46<9:41:00, 1.59it/s] 4%|▍ | 2167/57600 [22:46<9:40:03, 1.59it/s] 4%|▍ | 2168/57600 [22:47<9:35:03, 1.61it/s] 4%|▍ | 2169/57600 [22:47<9:45:46, 1.58it/s] 4%|▍ | 2170/57600 [22:48<9:45:48, 1.58it/s] 4%|▍ | 2171/57600 [22:49<9:36:19, 1.60it/s] 4%|▍ | 2172/57600 [22:49<9:26:26, 1.63it/s] 4%|▍ | 2173/57600 [22:50<9:24:35, 1.64it/s] 4%|▍ | 2174/57600 [22:51<9:28:45, 1.62it/s] 4%|▍ | 2175/57600 [22:51<10:01:54, 1.53it/s] 4%|▍ | 2176/57600 [22:52<9:46:39, 1.57it/s] 4%|▍ | 2177/57600 [22:52<9:31:32, 1.62it/s] 4%|▍ | 2178/57600 [22:53<9:28:57, 1.62it/s] 4%|▍ | 2179/57600 [22:54<9:20:52, 1.65it/s] 4%|▍ | 2180/57600 [22:54<9:21:48, 1.64it/s] {'loss': 1.7281, 'learning_rate': 9.689547038327525e-07, 'epoch': 24.06} | |
| 4%|▍ | 2180/57600 [22:54<9:21:48, 1.64it/s] 4%|▍ | 2181/57600 [22:55<9:22:59, 1.64it/s] 4%|▍ | 2182/57600 [22:55<9:23:16, 1.64it/s] 4%|▍ | 2183/57600 [22:56<9:34:30, 1.61it/s] 4%|▍ | 2184/57600 [22:57<9:38:20, 1.60it/s] 4%|▍ | 2185/57600 [22:57<9:22:40, 1.64it/s] 4%|▍ | 2186/57600 [22:58<9:34:57, 1.61it/s] 4%|▍ | 2187/57600 [22:59<9:43:08, 1.58it/s] 4%|▍ | 2188/57600 [22:59<9:33:00, 1.61it/s] 4%|▍ | 2189/57600 [23:00<9:28:39, 1.62it/s] 4%|▍ | 2190/57600 [23:00<9:34:42, 1.61it/s] 4%|▍ | 2191/57600 [23:01<9:24:52, 1.63it/s] 4%|▍ | 2192/57600 [23:02<9:29:10, 1.62it/s] 4%|▍ | 2193/57600 [23:02<9:49:34, 1.57it/s] 4%|▍ | 2194/57600 [23:03<10:28:26, 1.47it/s] 4%|▍ | 2195/57600 [23:04<10:04:41, 1.53it/s] 4%|▍ | 2196/57600 [23:04<10:03:53, 1.53it/s] 4%|▍ | 2197/57600 [23:05<9:59:03, 1.54it/s] 4%|▍ | 2198/57600 [23:06<9:52:31, 1.56it/s] 4%|▍ | 2199/57600 [23:06<9:47:14, 1.57it/s] 4%|▍ | 2200/57600 [23:07<9:37:21, 1.60it/s] {'loss': 1.7189, 'learning_rate': 9.686411149825783e-07, 'epoch': 24.28} | |
| 4%|▍ | 2200/57600 [23:07<9:37:21, 1.60it/s] 4%|▍ | 2201/57600 [23:08<9:32:34, 1.61it/s] 4%|▍ | 2202/57600 [23:08<9:39:54, 1.59it/s] 4%|▍ | 2203/57600 [23:09<9:31:21, 1.62it/s] 4%|▍ | 2204/57600 [23:09<9:40:04, 1.59it/s] 4%|▍ | 2205/57600 [23:10<9:32:01, 1.61it/s] 4%|▍ | 2206/57600 [23:11<10:13:43, 1.50it/s] 4%|▍ | 2207/57600 [23:11<10:16:01, 1.50it/s] 4%|▍ | 2208/57600 [23:12<10:05:07, 1.53it/s] 4%|▍ | 2209/57600 [23:13<10:20:57, 1.49it/s] 4%|▍ | 2210/57600 [23:13<10:18:12, 1.49it/s] 4%|▍ | 2211/57600 [23:14<10:16:01, 1.50it/s] 4%|▍ | 2212/57600 [23:15<10:08:06, 1.52it/s] 4%|▍ | 2213/57600 [23:15<9:51:11, 1.56it/s] 4%|▍ | 2214/57600 [23:16<9:58:53, 1.54it/s] 4%|▍ | 2215/57600 [23:17<9:51:45, 1.56it/s] 4%|▍ | 2216/57600 [23:17<9:55:46, 1.55it/s] 4%|▍ | 2217/57600 [23:18<9:46:22, 1.57it/s] 4%|▍ | 2218/57600 [23:19<10:03:01, 1.53it/s] 4%|▍ | 2219/57600 [23:19<10:02:13, 1.53it/s] 4%|▍ | 2220/57600 [23:20<9:41:37, 1.59it/s] {'loss': 1.6272, 'learning_rate': 9.683275261324042e-07, 'epoch': 24.5} | |
| 4%|▍ | 2220/57600 [23:20<9:41:37, 1.59it/s] 4%|▍ | 2221/57600 [23:20<9:37:36, 1.60it/s] 4%|▍ | 2222/57600 [23:21<9:32:55, 1.61it/s] 4%|▍ | 2223/57600 [23:22<9:38:08, 1.60it/s] 4%|▍ | 2224/57600 [23:22<9:34:39, 1.61it/s] 4%|▍ | 2225/57600 [23:23<9:52:40, 1.56it/s] 4%|▍ | 2226/57600 [23:24<9:45:47, 1.58it/s] 4%|▍ | 2227/57600 [23:24<9:48:22, 1.57it/s] 4%|▍ | 2228/57600 [23:25<9:58:09, 1.54it/s] 4%|▍ | 2229/57600 [23:26<10:33:26, 1.46it/s] 4%|▍ | 2230/57600 [23:26<10:29:36, 1.47it/s] 4%|▍ | 2231/57600 [23:27<10:02:26, 1.53it/s] 4%|▍ | 2232/57600 [23:28<10:06:35, 1.52it/s] 4%|▍ | 2233/57600 [23:28<9:49:26, 1.57it/s] 4%|▍ | 2234/57600 [23:29<9:38:41, 1.59it/s] 4%|▍ | 2235/57600 [23:29<9:29:46, 1.62it/s] 4%|▍ | 2236/57600 [23:30<9:28:51, 1.62it/s] 4%|▍ | 2237/57600 [23:31<9:29:10, 1.62it/s] 4%|▍ | 2238/57600 [23:31<9:18:36, 1.65it/s] 4%|▍ | 2239/57600 [23:32<9:33:52, 1.61it/s] 4%|▍ | 2240/57600 [23:33<10:02:08, 1.53it/s] {'loss': 1.6588, 'learning_rate': 9.6801393728223e-07, 'epoch': 24.72} | |
| 4%|▍ | 2240/57600 [23:33<10:02:08, 1.53it/s] 4%|▍ | 2241/57600 [23:33<9:54:09, 1.55it/s] 4%|▍ | 2242/57600 [23:34<9:40:26, 1.59it/s] 4%|▍ | 2243/57600 [23:35<9:49:13, 1.57it/s] 4%|▍ | 2244/57600 [23:35<9:46:29, 1.57it/s] 4%|▍ | 2245/57600 [23:36<9:49:42, 1.56it/s] 4%|▍ | 2246/57600 [23:36<9:36:39, 1.60it/s] 4%|▍ | 2247/57600 [23:37<9:42:22, 1.58it/s] 4%|▍ | 2248/57600 [23:38<9:35:23, 1.60it/s] 4%|▍ | 2249/57600 [23:38<9:36:50, 1.60it/s] 4%|▍ | 2250/57600 [23:39<9:40:38, 1.59it/s] 4%|▍ | 2251/57600 [23:40<9:42:30, 1.58it/s] 4%|▍ | 2252/57600 [23:40<9:29:14, 1.62it/s] 4%|▍ | 2253/57600 [23:41<9:34:29, 1.61it/s] 4%|▍ | 2254/57600 [23:41<9:25:28, 1.63it/s] 4%|▍ | 2255/57600 [23:42<9:57:32, 1.54it/s] 4%|▍ | 2256/57600 [23:43<10:08:31, 1.52it/s] 4%|▍ | 2257/57600 [23:43<9:55:53, 1.55it/s] 4%|▍ | 2258/57600 [23:44<9:42:12, 1.58it/s] 4%|▍ | 2259/57600 [23:45<10:09:07, 1.51it/s] 4%|▍ | 2260/57600 [23:45<10:19:50, 1.49it/s] {'loss': 1.6627, 'learning_rate': 9.677003484320557e-07, 'epoch': 24.94} | |
| 4%|▍ | 2260/57600 [23:45<10:19:50, 1.49it/s] 4%|▍ | 2261/57600 [23:46<10:15:57, 1.50it/s] 4%|▍ | 2262/57600 [23:47<10:03:09, 1.53it/s] 4%|▍ | 2263/57600 [23:47<10:00:02, 1.54it/s] 4%|▍ | 2264/57600 [23:48<10:05:49, 1.52it/s] 4%|▍ | 2265/57600 [23:49<9:53:04, 1.56it/s] 4%|▍ | 2266/57600 [23:49<10:21:45, 1.48it/s] 4%|▍ | 2267/57600 [23:50<10:11:08, 1.51it/s] 4%|▍ | 2268/57600 [23:51<9:55:21, 1.55it/s] 4%|▍ | 2269/57600 [23:51<9:36:05, 1.60it/s] 4%|▍ | 2270/57600 [23:52<9:30:03, 1.62it/s] 4%|▍ | 2271/57600 [23:52<9:26:44, 1.63it/s] 4%|▍ | 2272/57600 [23:53<9:25:45, 1.63it/s] 4%|▍ | 2273/57600 [23:54<9:39:47, 1.59it/s] 4%|▍ | 2274/57600 [23:54<9:39:16, 1.59it/s] 4%|▍ | 2275/57600 [23:55<9:27:57, 1.62it/s] 4%|▍ | 2276/57600 [23:55<9:25:18, 1.63it/s] 4%|▍ | 2277/57600 [23:56<9:32:52, 1.61it/s] 4%|▍ | 2278/57600 [23:57<9:22:06, 1.64it/s] 4%|▍ | 2279/57600 [23:57<9:35:34, 1.60it/s] 4%|▍ | 2280/57600 [23:58<9:49:31, 1.56it/s] {'loss': 1.6504, 'learning_rate': 9.673867595818815e-07, 'epoch': 25.17} | |
| 4%|▍ | 2280/57600 [23:58<9:49:31, 1.56it/s] 4%|▍ | 2281/57600 [23:59<9:34:57, 1.60it/s] 4%|▍ | 2282/57600 [23:59<9:30:34, 1.62it/s] 4%|▍ | 2283/57600 [24:00<9:24:39, 1.63it/s] 4%|▍ | 2284/57600 [24:00<9:27:11, 1.63it/s] 4%|▍ | 2285/57600 [24:01<9:23:28, 1.64it/s] 4%|▍ | 2286/57600 [24:02<9:23:10, 1.64it/s] 4%|▍ | 2287/57600 [24:02<9:18:31, 1.65it/s] 4%|▍ | 2288/57600 [24:03<9:21:23, 1.64it/s] 4%|▍ | 2289/57600 [24:03<9:25:53, 1.63it/s] 4%|▍ | 2290/57600 [24:04<9:29:15, 1.62it/s] 4%|▍ | 2291/57600 [24:05<10:00:02, 1.54it/s] 4%|▍ | 2292/57600 [24:06<10:21:45, 1.48it/s] 4%|▍ | 2293/57600 [24:06<9:59:28, 1.54it/s] 4%|▍ | 2294/57600 [24:07<9:52:01, 1.56it/s] 4%|▍ | 2295/57600 [24:07<9:55:56, 1.55it/s] 4%|▍ | 2296/57600 [24:08<9:47:02, 1.57it/s] 4%|▍ | 2297/57600 [24:09<9:41:54, 1.58it/s] 4%|▍ | 2298/57600 [24:09<9:29:36, 1.62it/s] 4%|▍ | 2299/57600 [24:10<10:15:01, 1.50it/s] 4%|▍ | 2300/57600 [24:11<9:56:47, 1.54it/s] {'loss': 1.6847, 'learning_rate': 9.670731707317072e-07, 'epoch': 25.39} | |
| 4%|▍ | 2300/57600 [24:11<9:56:47, 1.54it/s] 4%|▍ | 2301/57600 [24:11<9:53:54, 1.55it/s] 4%|▍ | 2302/57600 [24:12<9:43:43, 1.58it/s] 4%|▍ | 2303/57600 [24:13<9:42:26, 1.58it/s] 4%|▍ | 2304/57600 [24:13<9:36:14, 1.60it/s] 4%|▍ | 2305/57600 [24:14<9:38:03, 1.59it/s] 4%|▍ | 2306/57600 [24:14<9:50:28, 1.56it/s] 4%|▍ | 2307/57600 [24:15<9:58:51, 1.54it/s] 4%|▍ | 2308/57600 [24:16<10:12:53, 1.50it/s] 4%|▍ | 2309/57600 [24:16<9:59:50, 1.54it/s] 4%|▍ | 2310/57600 [24:17<9:55:34, 1.55it/s] 4%|▍ | 2311/57600 [24:18<9:56:28, 1.54it/s] 4%|▍ | 2312/57600 [24:18<9:37:03, 1.60it/s] 4%|▍ | 2313/57600 [24:19<9:30:56, 1.61it/s] 4%|▍ | 2314/57600 [24:20<9:44:07, 1.58it/s] 4%|▍ | 2315/57600 [24:20<9:38:49, 1.59it/s] 4%|▍ | 2316/57600 [24:21<9:40:47, 1.59it/s] 4%|▍ | 2317/57600 [24:21<9:42:03, 1.58it/s] 4%|▍ | 2318/57600 [24:22<9:58:24, 1.54it/s] 4%|▍ | 2319/57600 [24:23<9:44:09, 1.58it/s] 4%|▍ | 2320/57600 [24:23<9:25:45, 1.63it/s] {'loss': 1.6793, 'learning_rate': 9.66759581881533e-07, 'epoch': 25.61} | |
| 4%|▍ | 2320/57600 [24:23<9:25:45, 1.63it/s] 4%|▍ | 2321/57600 [24:24<9:35:57, 1.60it/s] 4%|▍ | 2322/57600 [24:25<9:27:12, 1.62it/s] 4%|▍ | 2323/57600 [24:25<9:23:43, 1.63it/s] 4%|▍ | 2324/57600 [24:26<9:26:00, 1.63it/s] 4%|▍ | 2325/57600 [24:26<9:17:48, 1.65it/s] 4%|▍ | 2326/57600 [24:27<9:14:49, 1.66it/s] 4%|▍ | 2327/57600 [24:28<9:22:35, 1.64it/s] 4%|▍ | 2328/57600 [24:28<9:14:29, 1.66it/s] 4%|▍ | 2329/57600 [24:29<9:16:13, 1.66it/s] 4%|▍ | 2330/57600 [24:29<9:26:05, 1.63it/s] 4%|▍ | 2331/57600 [24:30<9:34:45, 1.60it/s] 4%|▍ | 2332/57600 [24:31<9:44:54, 1.57it/s] 4%|▍ | 2333/57600 [24:31<9:37:04, 1.60it/s] 4%|▍ | 2334/57600 [24:32<9:28:51, 1.62it/s] 4%|▍ | 2335/57600 [24:33<9:28:26, 1.62it/s] 4%|▍ | 2336/57600 [24:33<9:47:48, 1.57it/s] 4%|▍ | 2337/57600 [24:34<9:37:55, 1.59it/s] 4%|▍ | 2338/57600 [24:34<9:18:40, 1.65it/s] 4%|▍ | 2339/57600 [24:35<9:36:08, 1.60it/s] 4%|▍ | 2340/57600 [24:36<9:47:05, 1.57it/s] {'loss': 1.7009, 'learning_rate': 9.66445993031359e-07, 'epoch': 25.83} | |
| 4%|▍ | 2340/57600 [24:36<9:47:05, 1.57it/s] 4%|▍ | 2341/57600 [24:36<9:46:57, 1.57it/s] 4%|▍ | 2342/57600 [24:37<9:34:46, 1.60it/s] 4%|▍ | 2343/57600 [24:38<10:15:00, 1.50it/s] 4%|▍ | 2344/57600 [24:38<9:48:50, 1.56it/s] 4%|▍ | 2345/57600 [24:39<9:48:49, 1.56it/s] 4%|▍ | 2346/57600 [24:40<9:57:28, 1.54it/s] 4%|▍ | 2347/57600 [24:40<10:04:18, 1.52it/s] 4%|▍ | 2348/57600 [24:41<9:45:33, 1.57it/s] 4%|▍ | 2349/57600 [24:42<10:21:48, 1.48it/s] 4%|▍ | 2350/57600 [24:42<10:31:42, 1.46it/s] 4%|▍ | 2351/57600 [24:43<10:13:16, 1.50it/s] 4%|▍ | 2352/57600 [24:44<10:01:28, 1.53it/s] 4%|▍ | 2353/57600 [24:44<9:48:07, 1.57it/s] 4%|▍ | 2354/57600 [24:45<9:55:05, 1.55it/s] 4%|▍ | 2355/57600 [24:46<9:56:18, 1.54it/s] 4%|▍ | 2356/57600 [24:46<9:59:40, 1.54it/s] 4%|▍ | 2357/57600 [24:47<9:45:19, 1.57it/s] 4%|▍ | 2358/57600 [24:47<9:56:29, 1.54it/s] 4%|▍ | 2359/57600 [24:48<9:52:46, 1.55it/s] 4%|▍ | 2360/57600 [24:49<9:46:14, 1.57it/s] {'loss': 1.6581, 'learning_rate': 9.661324041811848e-07, 'epoch': 26.05} | |
| 4%|▍ | 2360/57600 [24:49<9:46:14, 1.57it/s] 4%|▍ | 2361/57600 [24:49<10:05:01, 1.52it/s] 4%|▍ | 2362/57600 [24:50<10:01:35, 1.53it/s] 4%|▍ | 2363/57600 [24:51<9:59:41, 1.54it/s] 4%|▍ | 2364/57600 [24:51<9:53:25, 1.55it/s] 4%|▍ | 2365/57600 [24:52<9:44:32, 1.57it/s] 4%|▍ | 2366/57600 [24:53<9:40:20, 1.59it/s] 4%|▍ | 2367/57600 [24:53<9:46:30, 1.57it/s] 4%|▍ | 2368/57600 [24:54<9:39:08, 1.59it/s] 4%|▍ | 2369/57600 [24:54<9:36:28, 1.60it/s] 4%|▍ | 2370/57600 [24:55<9:29:07, 1.62it/s] 4%|▍ | 2371/57600 [24:56<9:39:04, 1.59it/s] 4%|▍ | 2372/57600 [24:56<9:52:52, 1.55it/s] 4%|▍ | 2373/57600 [24:57<9:41:22, 1.58it/s] 4%|▍ | 2374/57600 [24:58<9:54:02, 1.55it/s] 4%|▍ | 2375/57600 [24:58<10:00:56, 1.53it/s] 4%|▍ | 2376/57600 [24:59<10:09:23, 1.51it/s] 4%|▍ | 2377/57600 [25:00<9:43:59, 1.58it/s] 4%|▍ | 2378/57600 [25:00<9:59:05, 1.54it/s] 4%|▍ | 2379/57600 [25:01<9:56:00, 1.54it/s] 4%|▍ | 2380/57600 [25:02<9:54:26, 1.55it/s] {'loss': 1.6648, 'learning_rate': 9.658188153310104e-07, 'epoch': 26.27} | |
| 4%|▍ | 2380/57600 [25:02<9:54:26, 1.55it/s] 4%|▍ | 2381/57600 [25:02<9:49:34, 1.56it/s] 4%|▍ | 2382/57600 [25:03<9:42:26, 1.58it/s] 4%|▍ | 2383/57600 [25:03<9:44:32, 1.57it/s] 4%|▍ | 2384/57600 [25:04<9:39:01, 1.59it/s] 4%|▍ | 2385/57600 [25:05<9:50:35, 1.56it/s] 4%|▍ | 2386/57600 [25:05<9:46:59, 1.57it/s] 4%|▍ | 2387/57600 [25:06<9:56:43, 1.54it/s] 4%|▍ | 2388/57600 [25:07<9:34:34, 1.60it/s] 4%|▍ | 2389/57600 [25:07<9:35:57, 1.60it/s] 4%|▍ | 2390/57600 [25:08<9:37:58, 1.59it/s] 4%|▍ | 2391/57600 [25:08<9:28:34, 1.62it/s] 4%|▍ | 2392/57600 [25:09<9:19:55, 1.64it/s] 4%|▍ | 2393/57600 [25:10<9:14:19, 1.66it/s] 4%|▍ | 2394/57600 [25:10<9:19:47, 1.64it/s] 4%|▍ | 2395/57600 [25:11<9:38:49, 1.59it/s] 4%|▍ | 2396/57600 [25:12<9:45:37, 1.57it/s] 4%|▍ | 2397/57600 [25:12<10:10:31, 1.51it/s] 4%|▍ | 2398/57600 [25:13<9:56:48, 1.54it/s] 4%|▍ | 2399/57600 [25:14<10:00:59, 1.53it/s] 4%|▍ | 2400/57600 [25:14<10:23:09, 1.48it/s] {'loss': 1.6303, 'learning_rate': 9.65505226480836e-07, 'epoch': 26.49} | |
| 4%|▍ | 2400/57600 [25:14<10:23:09, 1.48it/s] 4%|▍ | 2401/57600 [25:15<10:17:00, 1.49it/s] 4%|▍ | 2402/57600 [25:16<9:59:49, 1.53it/s] 4%|▍ | 2403/57600 [25:16<9:44:41, 1.57it/s] 4%|▍ | 2404/57600 [25:17<9:25:06, 1.63it/s] 4%|▍ | 2405/57600 [25:17<10:03:26, 1.52it/s] 4%|▍ | 2406/57600 [25:18<9:48:58, 1.56it/s] 4%|▍ | 2407/57600 [25:19<9:56:03, 1.54it/s] 4%|▍ | 2408/57600 [25:19<9:52:02, 1.55it/s] 4%|▍ | 2409/57600 [25:20<9:58:10, 1.54it/s] 4%|▍ | 2410/57600 [25:21<9:46:35, 1.57it/s] 4%|▍ | 2411/57600 [25:21<9:25:31, 1.63it/s] 4%|▍ | 2412/57600 [25:22<9:24:45, 1.63it/s] 4%|▍ | 2413/57600 [25:22<9:16:04, 1.65it/s] 4%|▍ | 2414/57600 [25:23<9:35:53, 1.60it/s] 4%|▍ | 2415/57600 [25:24<9:29:39, 1.61it/s] 4%|▍ | 2416/57600 [25:24<9:26:56, 1.62it/s] 4%|▍ | 2417/57600 [25:25<9:19:42, 1.64it/s] 4%|▍ | 2418/57600 [25:26<9:18:54, 1.65it/s] 4%|▍ | 2419/57600 [25:26<9:33:27, 1.60it/s] 4%|▍ | 2420/57600 [25:27<9:24:37, 1.63it/s] {'loss': 1.7222, 'learning_rate': 9.65191637630662e-07, 'epoch': 26.71} | |
| 4%|▍ | 2420/57600 [25:27<9:24:37, 1.63it/s] 4%|▍ | 2421/57600 [25:27<9:15:18, 1.66it/s] 4%|▍ | 2422/57600 [25:28<9:17:57, 1.65it/s] 4%|▍ | 2423/57600 [25:29<9:14:16, 1.66it/s] 4%|▍ | 2424/57600 [25:29<9:10:48, 1.67it/s] 4%|▍ | 2425/57600 [25:30<9:13:26, 1.66it/s] 4%|▍ | 2426/57600 [25:30<9:06:45, 1.68it/s] 4%|▍ | 2427/57600 [25:31<9:15:32, 1.66it/s] 4%|▍ | 2428/57600 [25:32<9:11:15, 1.67it/s] 4%|▍ | 2429/57600 [25:32<9:27:42, 1.62it/s] 4%|▍ | 2430/57600 [25:33<9:16:17, 1.65it/s] 4%|▍ | 2431/57600 [25:33<9:09:07, 1.67it/s] 4%|▍ | 2432/57600 [25:34<9:17:58, 1.65it/s] 4%|▍ | 2433/57600 [25:35<9:08:15, 1.68it/s] 4%|▍ | 2434/57600 [25:35<9:28:47, 1.62it/s] 4%|▍ | 2435/57600 [25:36<9:58:50, 1.54it/s] 4%|▍ | 2436/57600 [25:37<9:47:30, 1.56it/s] 4%|▍ | 2437/57600 [25:37<9:55:41, 1.54it/s] 4%|▍ | 2438/57600 [25:38<9:55:39, 1.54it/s] 4%|▍ | 2439/57600 [25:38<9:37:38, 1.59it/s] 4%|▍ | 2440/57600 [25:39<9:35:21, 1.60it/s] {'loss': 1.7164, 'learning_rate': 9.648780487804878e-07, 'epoch': 26.93} | |
| 4%|▍ | 2440/57600 [25:39<9:35:21, 1.60it/s] 4%|▍ | 2441/57600 [25:40<9:36:49, 1.59it/s] 4%|▍ | 2442/57600 [25:40<9:28:10, 1.62it/s] 4%|▍ | 2443/57600 [25:41<9:16:57, 1.65it/s] 4%|▍ | 2444/57600 [25:41<9:19:38, 1.64it/s] 4%|▍ | 2445/57600 [25:42<9:24:34, 1.63it/s] 4%|▍ | 2446/57600 [25:43<9:30:05, 1.61it/s] 4%|▍ | 2447/57600 [25:44<10:13:09, 1.50it/s] 4%|▍ | 2448/57600 [25:44<9:47:16, 1.57it/s] 4%|▍ | 2449/57600 [25:45<9:44:11, 1.57it/s] 4%|▍ | 2450/57600 [25:45<9:40:52, 1.58it/s] 4%|▍ | 2451/57600 [25:46<9:56:19, 1.54it/s] 4%|▍ | 2452/57600 [25:47<10:04:52, 1.52it/s] 4%|▍ | 2453/57600 [25:47<9:57:09, 1.54it/s] 4%|▍ | 2454/57600 [25:48<9:43:57, 1.57it/s] 4%|▍ | 2455/57600 [25:49<9:58:48, 1.53it/s] 4%|▍ | 2456/57600 [25:49<9:38:22, 1.59it/s] 4%|▍ | 2457/57600 [25:50<9:45:50, 1.57it/s] 4%|▍ | 2458/57600 [25:51<9:46:54, 1.57it/s] 4%|▍ | 2459/57600 [25:51<9:32:55, 1.60it/s] 4%|▍ | 2460/57600 [25:52<9:40:26, 1.58it/s] {'loss': 1.6894, 'learning_rate': 9.645644599303136e-07, 'epoch': 27.15} | |
| 4%|▍ | 2460/57600 [25:52<9:40:26, 1.58it/s] 4%|▍ | 2461/57600 [25:52<9:48:07, 1.56it/s] 4%|▍ | 2462/57600 [25:53<9:29:12, 1.61it/s] 4%|▍ | 2463/57600 [25:54<9:46:46, 1.57it/s] 4%|▍ | 2464/57600 [25:54<9:32:14, 1.61it/s] 4%|▍ | 2465/57600 [25:55<9:31:20, 1.61it/s] 4%|▍ | 2466/57600 [25:56<9:35:51, 1.60it/s] 4%|▍ | 2467/57600 [25:56<9:37:37, 1.59it/s] 4%|▍ | 2468/57600 [25:57<9:25:02, 1.63it/s] 4%|▍ | 2469/57600 [25:57<9:28:07, 1.62it/s] 4%|▍ | 2470/57600 [25:58<9:36:52, 1.59it/s] 4%|▍ | 2471/57600 [25:59<9:44:05, 1.57it/s] 4%|▍ | 2472/57600 [25:59<9:33:13, 1.60it/s] 4%|▍ | 2473/57600 [26:00<9:40:59, 1.58it/s] 4%|▍ | 2474/57600 [26:01<9:31:52, 1.61it/s] 4%|▍ | 2475/57600 [26:01<9:18:37, 1.64it/s] 4%|▍ | 2476/57600 [26:02<9:31:57, 1.61it/s] 4%|▍ | 2477/57600 [26:02<9:17:17, 1.65it/s] 4%|▍ | 2478/57600 [26:03<9:36:21, 1.59it/s] 4%|▍ | 2479/57600 [26:04<9:42:50, 1.58it/s] 4%|▍ | 2480/57600 [26:04<9:44:32, 1.57it/s] {'loss': 1.6904, 'learning_rate': 9.642508710801393e-07, 'epoch': 27.37} | |
| 4%|▍ | 2480/57600 [26:04<9:44:32, 1.57it/s] 4%|▍ | 2481/57600 [26:05<9:35:31, 1.60it/s] 4%|▍ | 2482/57600 [26:06<9:37:47, 1.59it/s] 4%|▍ | 2483/57600 [26:06<9:53:38, 1.55it/s] 4%|▍ | 2484/57600 [26:07<10:06:08, 1.52it/s] 4%|▍ | 2485/57600 [26:08<9:55:54, 1.54it/s] 4%|▍ | 2486/57600 [26:08<9:45:00, 1.57it/s] 4%|▍ | 2487/57600 [26:09<9:40:47, 1.58it/s] 4%|▍ | 2488/57600 [26:09<9:20:10, 1.64it/s] 4%|▍ | 2489/57600 [26:10<9:35:26, 1.60it/s] 4%|▍ | 2490/57600 [26:11<9:34:12, 1.60it/s] 4%|▍ | 2491/57600 [26:11<9:21:58, 1.63it/s] 4%|▍ | 2492/57600 [26:12<9:26:20, 1.62it/s] 4%|▍ | 2493/57600 [26:12<9:12:41, 1.66it/s] 4%|▍ | 2494/57600 [26:13<9:13:22, 1.66it/s] 4%|▍ | 2495/57600 [26:14<9:23:28, 1.63it/s] 4%|▍ | 2496/57600 [26:14<9:15:38, 1.65it/s] 4%|▍ | 2497/57600 [26:15<9:34:43, 1.60it/s] 4%|▍ | 2498/57600 [26:15<9:28:28, 1.62it/s] 4%|▍ | 2499/57600 [26:16<9:30:28, 1.61it/s] 4%|▍ | 2500/57600 [26:17<9:44:42, 1.57it/s] {'loss': 1.6133, 'learning_rate': 9.639372822299651e-07, 'epoch': 27.59} | |
| 4%|▍ | 2500/57600 [26:17<9:44:42, 1.57it/s] 4%|▍ | 2501/57600 [26:17<9:36:27, 1.59it/s] 4%|▍ | 2502/57600 [26:18<9:43:19, 1.57it/s] 4%|▍ | 2503/57600 [26:19<9:48:24, 1.56it/s] 4%|▍ | 2504/57600 [26:19<9:40:19, 1.58it/s] 4%|▍ | 2505/57600 [26:20<9:46:58, 1.56it/s] 4%|▍ | 2506/57600 [26:21<9:44:12, 1.57it/s] 4%|▍ | 2507/57600 [26:21<9:36:18, 1.59it/s] 4%|▍ | 2508/57600 [26:22<9:29:56, 1.61it/s] 4%|▍ | 2509/57600 [26:22<9:45:57, 1.57it/s] 4%|▍ | 2510/57600 [26:23<9:35:36, 1.60it/s] 4%|▍ | 2511/57600 [26:24<9:41:05, 1.58it/s] 4%|▍ | 2512/57600 [26:24<9:47:37, 1.56it/s] 4%|▍ | 2513/57600 [26:25<9:36:29, 1.59it/s] 4%|▍ | 2514/57600 [26:26<9:45:44, 1.57it/s] 4%|▍ | 2515/57600 [26:26<9:48:19, 1.56it/s] 4%|▍ | 2516/57600 [26:27<9:46:52, 1.56it/s] 4%|▍ | 2517/57600 [26:28<9:42:17, 1.58it/s] 4%|▍ | 2518/57600 [26:28<9:46:07, 1.57it/s] 4%|▍ | 2519/57600 [26:29<9:44:29, 1.57it/s] 4%|▍ | 2520/57600 [26:29<9:45:21, 1.57it/s] {'loss': 1.6445, 'learning_rate': 9.636236933797908e-07, 'epoch': 27.81} | |
| 4%|▍ | 2520/57600 [26:29<9:45:21, 1.57it/s] 4%|▍ | 2521/57600 [26:30<9:39:07, 1.59it/s] 4%|▍ | 2522/57600 [26:31<9:49:57, 1.56it/s] 4%|▍ | 2523/57600 [26:31<9:33:52, 1.60it/s] 4%|▍ | 2524/57600 [26:32<9:59:17, 1.53it/s] 4%|▍ | 2525/57600 [26:33<10:05:25, 1.52it/s] 4%|▍ | 2526/57600 [26:33<10:14:51, 1.49it/s] 4%|▍ | 2527/57600 [26:34<9:58:42, 1.53it/s] 4%|▍ | 2528/57600 [26:35<9:52:02, 1.55it/s] 4%|▍ | 2529/57600 [26:35<9:46:37, 1.56it/s] 4%|▍ | 2530/57600 [26:36<9:50:22, 1.55it/s] 4%|▍ | 2531/57600 [26:37<9:39:33, 1.58it/s] 4%|▍ | 2532/57600 [26:37<9:45:26, 1.57it/s] 4%|▍ | 2533/57600 [26:38<9:35:57, 1.59it/s] 4%|▍ | 2534/57600 [26:38<9:35:13, 1.60it/s] 4%|▍ | 2535/57600 [26:39<9:26:33, 1.62it/s] 4%|▍ | 2536/57600 [26:40<9:19:22, 1.64it/s] 4%|▍ | 2537/57600 [26:40<9:32:51, 1.60it/s] 4%|▍ | 2538/57600 [26:41<9:20:13, 1.64it/s] 4%|▍ | 2539/57600 [26:41<9:31:00, 1.61it/s] 4%|▍ | 2540/57600 [26:42<9:23:08, 1.63it/s] {'loss': 1.6421, 'learning_rate': 9.633101045296166e-07, 'epoch': 28.04} | |
| 4%|▍ | 2540/57600 [26:42<9:23:08, 1.63it/s] 4%|▍ | 2541/57600 [26:43<9:22:59, 1.63it/s] 4%|▍ | 2542/57600 [26:43<9:48:24, 1.56it/s] 4%|▍ | 2543/57600 [26:44<9:38:08, 1.59it/s] 4%|▍ | 2544/57600 [26:45<9:55:47, 1.54it/s] 4%|▍ | 2545/57600 [26:45<9:57:51, 1.53it/s] 4%|▍ | 2546/57600 [26:46<10:07:22, 1.51it/s] 4%|▍ | 2547/57600 [26:47<10:19:59, 1.48it/s] 4%|▍ | 2548/57600 [26:47<9:57:29, 1.54it/s] 4%|▍ | 2549/57600 [26:48<9:54:20, 1.54it/s] 4%|▍ | 2550/57600 [26:49<9:40:29, 1.58it/s] 4%|▍ | 2551/57600 [26:49<9:43:19, 1.57it/s] 4%|▍ | 2552/57600 [26:50<9:27:50, 1.62it/s] 4%|▍ | 2553/57600 [26:50<9:42:33, 1.57it/s] 4%|▍ | 2554/57600 [26:51<9:47:19, 1.56it/s] 4%|▍ | 2555/57600 [26:52<9:42:47, 1.57it/s] 4%|▍ | 2556/57600 [26:52<10:01:38, 1.52it/s] 4%|▍ | 2557/57600 [26:53<9:48:52, 1.56it/s] 4%|▍ | 2558/57600 [26:54<9:53:25, 1.55it/s] 4%|▍ | 2559/57600 [26:54<9:49:14, 1.56it/s] 4%|▍ | 2560/57600 [26:55<9:39:46, 1.58it/s] {'loss': 1.672, 'learning_rate': 9.629965156794425e-07, 'epoch': 28.26} | |
| 4%|▍ | 2560/57600 [26:55<9:39:46, 1.58it/s] 4%|▍ | 2561/57600 [26:56<9:32:42, 1.60it/s] 4%|▍ | 2562/57600 [26:56<9:39:49, 1.58it/s] 4%|▍ | 2563/57600 [26:57<9:20:36, 1.64it/s] 4%|▍ | 2564/57600 [26:57<9:33:07, 1.60it/s] 4%|▍ | 2565/57600 [26:58<9:28:29, 1.61it/s] 4%|▍ | 2566/57600 [26:59<9:30:13, 1.61it/s] 4%|▍ | 2567/57600 [26:59<9:30:10, 1.61it/s] 4%|▍ | 2568/57600 [27:00<9:35:38, 1.59it/s] 4%|▍ | 2569/57600 [27:01<9:39:22, 1.58it/s] 4%|▍ | 2570/57600 [27:01<9:26:43, 1.62it/s] 4%|▍ | 2571/57600 [27:02<9:31:53, 1.60it/s] 4%|▍ | 2572/57600 [27:02<9:38:08, 1.59it/s] 4%|▍ | 2573/57600 [27:03<9:51:21, 1.55it/s] 4%|▍ | 2574/57600 [27:04<10:10:34, 1.50it/s] 4%|▍ | 2575/57600 [27:05<10:07:18, 1.51it/s] 4%|▍ | 2576/57600 [27:05<9:44:45, 1.57it/s] 4%|▍ | 2577/57600 [27:06<9:40:04, 1.58it/s] 4%|▍ | 2578/57600 [27:06<9:42:19, 1.57it/s] 4%|▍ | 2579/57600 [27:07<9:52:20, 1.55it/s] 4%|▍ | 2580/57600 [27:08<9:46:18, 1.56it/s] {'loss': 1.6592, 'learning_rate': 9.626829268292684e-07, 'epoch': 28.48} | |
| 4%|▍ | 2580/57600 [27:08<9:46:18, 1.56it/s] 4%|▍ | 2581/57600 [27:08<9:36:08, 1.59it/s] 4%|▍ | 2582/57600 [27:09<9:32:47, 1.60it/s] 4%|▍ | 2583/57600 [27:09<9:21:33, 1.63it/s] 4%|▍ | 2584/57600 [27:10<9:16:37, 1.65it/s] 4%|▍ | 2585/57600 [27:11<9:40:10, 1.58it/s] 4%|▍ | 2586/57600 [27:11<9:43:09, 1.57it/s] 4%|▍ | 2587/57600 [27:12<10:05:51, 1.51it/s] 4%|▍ | 2588/57600 [27:13<9:54:28, 1.54it/s] 4%|▍ | 2589/57600 [27:13<9:34:33, 1.60it/s] 4%|▍ | 2590/57600 [27:14<9:23:19, 1.63it/s] 4%|▍ | 2591/57600 [27:14<9:17:44, 1.64it/s] 4%|▍ | 2592/57600 [27:15<9:14:42, 1.65it/s] 5%|▍ | 2593/57600 [27:16<9:24:40, 1.62it/s] 5%|▍ | 2594/57600 [27:16<9:41:01, 1.58it/s] 5%|▍ | 2595/57600 [27:17<9:35:21, 1.59it/s] 5%|▍ | 2596/57600 [27:18<9:28:37, 1.61it/s] 5%|▍ | 2597/57600 [27:18<9:54:31, 1.54it/s] 5%|▍ | 2598/57600 [27:19<9:33:35, 1.60it/s] 5%|▍ | 2599/57600 [27:19<9:19:28, 1.64it/s] 5%|▍ | 2600/57600 [27:20<9:25:35, 1.62it/s] {'loss': 1.649, 'learning_rate': 9.62369337979094e-07, 'epoch': 28.7} | |
| 5%|▍ | 2600/57600 [27:20<9:25:35, 1.62it/s] 5%|▍ | 2601/57600 [27:21<9:20:20, 1.64it/s] 5%|▍ | 2602/57600 [27:21<9:16:15, 1.65it/s] 5%|▍ | 2603/57600 [27:22<9:04:03, 1.68it/s] 5%|▍ | 2604/57600 [27:23<9:33:05, 1.60it/s] 5%|▍ | 2605/57600 [27:23<9:31:32, 1.60it/s] 5%|▍ | 2606/57600 [27:24<9:29:25, 1.61it/s] 5%|▍ | 2607/57600 [27:24<9:36:56, 1.59it/s] 5%|▍ | 2608/57600 [27:25<10:10:05, 1.50it/s] 5%|▍ | 2609/57600 [27:26<9:55:33, 1.54it/s] 5%|▍ | 2610/57600 [27:26<9:50:08, 1.55it/s] 5%|▍ | 2611/57600 [27:27<9:40:32, 1.58it/s] 5%|▍ | 2612/57600 [27:28<9:30:42, 1.61it/s] 5%|▍ | 2613/57600 [27:28<9:31:44, 1.60it/s] 5%|▍ | 2614/57600 [27:29<9:35:42, 1.59it/s] 5%|▍ | 2615/57600 [27:30<9:28:44, 1.61it/s] 5%|▍ | 2616/57600 [27:30<9:33:51, 1.60it/s] 5%|▍ | 2617/57600 [27:31<9:38:18, 1.58it/s] 5%|▍ | 2618/57600 [27:31<9:50:07, 1.55it/s] 5%|▍ | 2619/57600 [27:32<9:39:37, 1.58it/s] 5%|▍ | 2620/57600 [27:33<9:43:23, 1.57it/s] {'loss': 1.6667, 'learning_rate': 9.620557491289199e-07, 'epoch': 28.92} | |
| 5%|▍ | 2620/57600 [27:33<9:43:23, 1.57it/s] 5%|▍ | 2621/57600 [27:33<9:27:14, 1.62it/s] 5%|▍ | 2622/57600 [27:34<9:21:32, 1.63it/s] 5%|▍ | 2623/57600 [27:35<9:49:08, 1.56it/s] 5%|▍ | 2624/57600 [27:35<9:39:46, 1.58it/s] 5%|▍ | 2625/57600 [27:36<9:44:50, 1.57it/s] 5%|▍ | 2626/57600 [27:37<9:46:53, 1.56it/s] 5%|▍ | 2627/57600 [27:37<9:23:27, 1.63it/s] 5%|▍ | 2628/57600 [27:38<9:48:51, 1.56it/s] 5%|▍ | 2629/57600 [27:38<9:34:08, 1.60it/s] 5%|▍ | 2630/57600 [27:39<9:40:39, 1.58it/s] 5%|▍ | 2631/57600 [27:40<9:37:02, 1.59it/s] 5%|▍ | 2632/57600 [27:40<9:48:22, 1.56it/s] 5%|▍ | 2633/57600 [27:41<9:37:46, 1.59it/s] 5%|▍ | 2634/57600 [27:42<9:37:03, 1.59it/s] 5%|▍ | 2635/57600 [27:42<9:34:43, 1.59it/s] 5%|▍ | 2636/57600 [27:43<9:25:21, 1.62it/s] 5%|▍ | 2637/57600 [27:43<9:28:48, 1.61it/s] 5%|▍ | 2638/57600 [27:44<9:25:57, 1.62it/s] 5%|▍ | 2639/57600 [27:45<9:35:20, 1.59it/s] 5%|▍ | 2640/57600 [27:45<9:39:07, 1.58it/s] {'loss': 1.6172, 'learning_rate': 9.617421602787455e-07, 'epoch': 29.14} | |
| 5%|▍ | 2640/57600 [27:45<9:39:07, 1.58it/s] 5%|▍ | 2641/57600 [27:46<9:37:14, 1.59it/s] 5%|▍ | 2642/57600 [27:46<9:22:20, 1.63it/s] 5%|▍ | 2643/57600 [27:47<9:12:54, 1.66it/s] 5%|▍ | 2644/57600 [27:48<9:28:38, 1.61it/s] 5%|▍ | 2645/57600 [27:48<9:27:28, 1.61it/s] 5%|▍ | 2646/57600 [27:49<9:18:21, 1.64it/s] 5%|▍ | 2647/57600 [27:50<9:38:28, 1.58it/s] 5%|▍ | 2648/57600 [27:50<9:36:39, 1.59it/s] 5%|▍ | 2649/57600 [27:51<9:43:30, 1.57it/s] 5%|▍ | 2650/57600 [27:52<10:07:41, 1.51it/s] 5%|▍ | 2651/57600 [27:52<9:47:16, 1.56it/s] 5%|▍ | 2652/57600 [27:53<10:00:47, 1.52it/s] 5%|▍ | 2653/57600 [27:53<9:34:15, 1.59it/s] 5%|▍ | 2654/57600 [27:54<9:16:57, 1.64it/s] 5%|▍ | 2655/57600 [27:55<9:31:59, 1.60it/s] 5%|▍ | 2656/57600 [27:55<9:38:55, 1.58it/s] 5%|▍ | 2657/57600 [27:56<9:28:33, 1.61it/s] 5%|▍ | 2658/57600 [27:57<9:39:45, 1.58it/s] 5%|▍ | 2659/57600 [27:57<9:32:30, 1.60it/s] 5%|▍ | 2660/57600 [27:58<9:32:32, 1.60it/s] {'loss': 1.6696, 'learning_rate': 9.614285714285714e-07, 'epoch': 29.36} | |
| 5%|▍ | 2660/57600 [27:58<9:32:32, 1.60it/s] 5%|▍ | 2661/57600 [27:58<9:19:17, 1.64it/s] 5%|▍ | 2662/57600 [27:59<9:29:54, 1.61it/s] 5%|▍ | 2663/57600 [28:00<9:22:39, 1.63it/s] 5%|▍ | 2664/57600 [28:00<9:12:54, 1.66it/s] 5%|▍ | 2665/57600 [28:01<9:17:17, 1.64it/s] 5%|▍ | 2666/57600 [28:02<9:35:42, 1.59it/s] 5%|▍ | 2667/57600 [28:02<9:55:50, 1.54it/s] 5%|▍ | 2668/57600 [28:03<9:32:55, 1.60it/s] 5%|▍ | 2669/57600 [28:03<9:33:20, 1.60it/s] 5%|▍ | 2670/57600 [28:04<9:46:09, 1.56it/s] 5%|▍ | 2671/57600 [28:05<9:34:25, 1.59it/s] 5%|▍ | 2672/57600 [28:05<9:24:39, 1.62it/s] 5%|▍ | 2673/57600 [28:06<9:25:06, 1.62it/s] 5%|▍ | 2674/57600 [28:07<9:25:45, 1.62it/s] 5%|▍ | 2675/57600 [28:07<9:22:10, 1.63it/s] 5%|▍ | 2676/57600 [28:08<9:19:26, 1.64it/s] 5%|▍ | 2677/57600 [28:08<9:24:34, 1.62it/s] 5%|▍ | 2678/57600 [28:09<9:26:39, 1.62it/s] 5%|▍ | 2679/57600 [28:10<9:35:27, 1.59it/s] 5%|▍ | 2680/57600 [28:10<9:23:28, 1.62it/s] {'loss': 1.7091, 'learning_rate': 9.611149825783972e-07, 'epoch': 29.58} | |
| 5%|▍ | 2680/57600 [28:10<9:23:28, 1.62it/s] 5%|▍ | 2681/57600 [28:11<9:26:02, 1.62it/s] 5%|▍ | 2682/57600 [28:12<9:41:27, 1.57it/s] 5%|▍ | 2683/57600 [28:12<9:28:32, 1.61it/s] 5%|▍ | 2684/57600 [28:13<9:49:34, 1.55it/s] 5%|▍ | 2685/57600 [28:13<9:57:06, 1.53it/s] 5%|▍ | 2686/57600 [28:14<10:17:13, 1.48it/s] 5%|▍ | 2687/57600 [28:15<10:08:10, 1.50it/s] 5%|▍ | 2688/57600 [28:15<9:41:41, 1.57it/s] 5%|▍ | 2689/57600 [28:16<9:39:14, 1.58it/s] 5%|▍ | 2690/57600 [28:17<9:57:13, 1.53it/s] 5%|▍ | 2691/57600 [28:17<9:38:35, 1.58it/s] 5%|▍ | 2692/57600 [28:18<9:41:07, 1.57it/s] 5%|▍ | 2693/57600 [28:19<9:31:26, 1.60it/s] 5%|▍ | 2694/57600 [28:19<9:22:59, 1.63it/s] 5%|▍ | 2695/57600 [28:20<9:33:04, 1.60it/s] 5%|▍ | 2696/57600 [28:20<9:19:17, 1.64it/s] 5%|▍ | 2697/57600 [28:21<9:31:47, 1.60it/s] 5%|▍ | 2698/57600 [28:22<9:48:32, 1.55it/s] 5%|▍ | 2699/57600 [28:22<9:49:59, 1.55it/s] 5%|▍ | 2700/57600 [28:23<9:53:24, 1.54it/s] {'loss': 1.6111, 'learning_rate': 9.60801393728223e-07, 'epoch': 29.8} | |
| 5%|▍ | 2700/57600 [28:23<9:53:24, 1.54it/s] 5%|▍ | 2701/57600 [28:24<10:09:10, 1.50it/s] 5%|▍ | 2702/57600 [28:24<10:07:32, 1.51it/s] 5%|▍ | 2703/57600 [28:25<9:55:16, 1.54it/s] 5%|▍ | 2704/57600 [28:26<9:45:01, 1.56it/s] 5%|▍ | 2705/57600 [28:26<9:51:47, 1.55it/s] 5%|▍ | 2706/57600 [28:27<9:30:42, 1.60it/s] 5%|▍ | 2707/57600 [28:27<9:28:21, 1.61it/s] 5%|▍ | 2708/57600 [28:28<9:42:19, 1.57it/s] 5%|▍ | 2709/57600 [28:29<10:07:07, 1.51it/s] 5%|▍ | 2710/57600 [28:30<10:01:26, 1.52it/s] 5%|▍ | 2711/57600 [28:30<9:50:08, 1.55it/s] 5%|▍ | 2712/57600 [28:31<9:49:45, 1.55it/s] 5%|▍ | 2713/57600 [28:31<9:55:02, 1.54it/s] 5%|▍ | 2714/57600 [28:32<10:02:11, 1.52it/s] 5%|▍ | 2715/57600 [28:33<9:48:37, 1.55it/s] 5%|▍ | 2716/57600 [28:33<9:45:15, 1.56it/s] 5%|▍ | 2717/57600 [28:34<9:45:45, 1.56it/s] 5%|▍ | 2718/57600 [28:35<9:30:17, 1.60it/s] 5%|▍ | 2719/57600 [28:35<9:45:16, 1.56it/s] 5%|▍ | 2720/57600 [28:36<9:44:42, 1.56it/s] {'loss': 1.6274, 'learning_rate': 9.604878048780487e-07, 'epoch': 30.02} | |
| 5%|▍ | 2720/57600 [28:36<9:44:42, 1.56it/s] 5%|▍ | 2721/57600 [28:36<9:33:25, 1.60it/s] 5%|▍ | 2722/57600 [28:37<9:21:33, 1.63it/s] 5%|▍ | 2723/57600 [28:38<9:28:24, 1.61it/s] 5%|▍ | 2724/57600 [28:38<9:38:57, 1.58it/s] 5%|▍ | 2725/57600 [28:39<9:34:02, 1.59it/s] 5%|▍ | 2726/57600 [28:40<9:56:56, 1.53it/s] 5%|▍ | 2727/57600 [28:40<10:06:38, 1.51it/s] 5%|▍ | 2728/57600 [28:41<9:50:05, 1.55it/s] 5%|▍ | 2729/57600 [28:42<9:53:58, 1.54it/s] 5%|▍ | 2730/57600 [28:42<9:52:54, 1.54it/s] 5%|▍ | 2731/57600 [28:43<9:38:02, 1.58it/s] 5%|▍ | 2732/57600 [28:44<9:57:31, 1.53it/s] 5%|▍ | 2733/57600 [28:44<9:59:05, 1.53it/s] 5%|▍ | 2734/57600 [28:45<10:17:13, 1.48it/s] 5%|▍ | 2735/57600 [28:46<10:05:14, 1.51it/s] 5%|▍ | 2736/57600 [28:46<9:59:40, 1.52it/s] 5%|▍ | 2737/57600 [28:47<10:06:46, 1.51it/s] 5%|▍ | 2738/57600 [28:48<10:05:31, 1.51it/s] 5%|▍ | 2739/57600 [28:48<9:49:39, 1.55it/s] 5%|▍ | 2740/57600 [28:49<9:47:25, 1.56it/s] {'loss': 1.6186, 'learning_rate': 9.601742160278746e-07, 'epoch': 30.24} | |
| 5%|▍ | 2740/57600 [28:49<9:47:25, 1.56it/s] 5%|▍ | 2741/57600 [28:49<9:40:49, 1.57it/s] 5%|▍ | 2742/57600 [28:50<9:45:24, 1.56it/s] 5%|▍ | 2743/57600 [28:51<9:45:01, 1.56it/s] 5%|▍ | 2744/57600 [28:51<9:47:00, 1.56it/s] 5%|▍ | 2745/57600 [28:52<9:37:39, 1.58it/s] 5%|▍ | 2746/57600 [28:53<9:32:40, 1.60it/s] 5%|▍ | 2747/57600 [28:53<9:34:03, 1.59it/s] 5%|▍ | 2748/57600 [28:54<9:27:10, 1.61it/s] 5%|▍ | 2749/57600 [28:54<9:28:58, 1.61it/s] 5%|▍ | 2750/57600 [28:55<9:14:32, 1.65it/s] 5%|▍ | 2751/57600 [28:56<9:14:51, 1.65it/s] 5%|▍ | 2752/57600 [28:56<9:24:05, 1.62it/s] 5%|▍ | 2753/57600 [28:57<9:28:48, 1.61it/s] 5%|▍ | 2754/57600 [28:58<9:41:57, 1.57it/s] 5%|▍ | 2755/57600 [28:58<9:39:31, 1.58it/s] 5%|▍ | 2756/57600 [28:59<9:45:15, 1.56it/s] 5%|▍ | 2757/57600 [29:00<9:58:37, 1.53it/s] 5%|▍ | 2758/57600 [29:00<10:02:21, 1.52it/s] 5%|▍ | 2759/57600 [29:01<9:38:13, 1.58it/s] 5%|▍ | 2760/57600 [29:01<9:20:25, 1.63it/s] {'loss': 1.6336, 'learning_rate': 9.598606271777002e-07, 'epoch': 30.46} | |
| 5%|▍ | 2760/57600 [29:01<9:20:25, 1.63it/s] 5%|▍ | 2761/57600 [29:02<9:06:46, 1.67it/s] 5%|▍ | 2762/57600 [29:03<9:11:21, 1.66it/s] 5%|▍ | 2763/57600 [29:03<9:06:26, 1.67it/s] 5%|▍ | 2764/57600 [29:04<9:31:45, 1.60it/s] 5%|▍ | 2765/57600 [29:04<9:42:24, 1.57it/s] 5%|▍ | 2766/57600 [29:05<9:27:24, 1.61it/s] 5%|▍ | 2767/57600 [29:06<9:34:20, 1.59it/s] 5%|▍ | 2768/57600 [29:06<9:28:28, 1.61it/s] 5%|▍ | 2769/57600 [29:07<10:08:30, 1.50it/s] 5%|▍ | 2770/57600 [29:08<9:58:54, 1.53it/s] 5%|▍ | 2771/57600 [29:08<9:45:48, 1.56it/s] 5%|▍ | 2772/57600 [29:09<9:38:32, 1.58it/s] 5%|▍ | 2773/57600 [29:10<9:40:56, 1.57it/s] 5%|▍ | 2774/57600 [29:10<9:42:24, 1.57it/s] 5%|▍ | 2775/57600 [29:11<9:35:55, 1.59it/s] 5%|▍ | 2776/57600 [29:11<9:21:46, 1.63it/s] 5%|▍ | 2777/57600 [29:12<9:25:06, 1.62it/s] 5%|▍ | 2778/57600 [29:13<9:33:33, 1.59it/s] 5%|▍ | 2779/57600 [29:13<9:23:09, 1.62it/s] 5%|▍ | 2780/57600 [29:14<9:15:55, 1.64it/s] {'loss': 1.6414, 'learning_rate': 9.59547038327526e-07, 'epoch': 30.68} | |
| 5%|▍ | 2780/57600 [29:14<9:15:55, 1.64it/s] 5%|▍ | 2781/57600 [29:15<9:32:27, 1.60it/s] 5%|▍ | 2782/57600 [29:15<9:17:49, 1.64it/s] 5%|▍ | 2783/57600 [29:16<9:09:15, 1.66it/s] 5%|▍ | 2784/57600 [29:16<9:23:06, 1.62it/s] 5%|▍ | 2785/57600 [29:17<9:22:20, 1.62it/s] 5%|▍ | 2786/57600 [29:18<9:16:46, 1.64it/s] 5%|▍ | 2787/57600 [29:18<9:42:21, 1.57it/s] 5%|▍ | 2788/57600 [29:19<9:36:13, 1.59it/s] 5%|▍ | 2789/57600 [29:19<9:30:21, 1.60it/s] 5%|▍ | 2790/57600 [29:20<9:40:32, 1.57it/s] 5%|▍ | 2791/57600 [29:21<9:21:03, 1.63it/s] 5%|▍ | 2792/57600 [29:21<9:26:36, 1.61it/s] 5%|▍ | 2793/57600 [29:22<9:23:01, 1.62it/s] 5%|▍ | 2794/57600 [29:23<9:36:06, 1.59it/s] 5%|▍ | 2795/57600 [29:23<9:31:45, 1.60it/s] 5%|▍ | 2796/57600 [29:24<9:26:37, 1.61it/s] 5%|▍ | 2797/57600 [29:25<9:45:44, 1.56it/s] 5%|▍ | 2798/57600 [29:25<9:36:13, 1.59it/s] 5%|▍ | 2799/57600 [29:26<9:43:42, 1.56it/s] 5%|▍ | 2800/57600 [29:26<9:40:56, 1.57it/s] {'loss': 1.6628, 'learning_rate': 9.59233449477352e-07, 'epoch': 30.91} | |
| 5%|▍ | 2800/57600 [29:26<9:40:56, 1.57it/s] 5%|▍ | 2801/57600 [29:27<9:50:26, 1.55it/s] 5%|▍ | 2802/57600 [29:28<9:33:03, 1.59it/s] 5%|▍ | 2803/57600 [29:28<9:22:27, 1.62it/s] 5%|▍ | 2804/57600 [29:29<9:34:41, 1.59it/s] 5%|▍ | 2805/57600 [29:30<9:43:45, 1.56it/s] 5%|▍ | 2806/57600 [29:30<10:00:43, 1.52it/s] 5%|▍ | 2807/57600 [29:31<9:57:00, 1.53it/s] 5%|▍ | 2808/57600 [29:32<9:49:29, 1.55it/s] 5%|▍ | 2809/57600 [29:32<9:57:54, 1.53it/s] 5%|▍ | 2810/57600 [29:33<9:39:12, 1.58it/s] 5%|▍ | 2811/57600 [29:33<9:42:05, 1.57it/s] 5%|▍ | 2812/57600 [29:34<9:45:29, 1.56it/s] 5%|▍ | 2813/57600 [29:35<10:06:00, 1.51it/s] 5%|▍ | 2814/57600 [29:35<10:03:43, 1.51it/s] 5%|▍ | 2815/57600 [29:36<9:58:18, 1.53it/s] 5%|▍ | 2816/57600 [29:37<10:12:30, 1.49it/s] 5%|▍ | 2817/57600 [29:37<9:47:27, 1.55it/s] 5%|▍ | 2818/57600 [29:38<9:36:28, 1.58it/s] 5%|▍ | 2819/57600 [29:39<9:40:17, 1.57it/s] 5%|▍ | 2820/57600 [29:39<9:40:32, 1.57it/s] {'loss': 1.6092, 'learning_rate': 9.589198606271776e-07, 'epoch': 31.13} | |
| 5%|▍ | 2820/57600 [29:39<9:40:32, 1.57it/s] 5%|▍ | 2821/57600 [29:40<9:32:48, 1.59it/s] 5%|▍ | 2822/57600 [29:41<9:26:25, 1.61it/s] 5%|▍ | 2823/57600 [29:41<9:41:22, 1.57it/s] 5%|▍ | 2824/57600 [29:42<9:30:07, 1.60it/s] 5%|▍ | 2825/57600 [29:42<9:38:23, 1.58it/s] 5%|▍ | 2826/57600 [29:43<9:29:28, 1.60it/s] 5%|▍ | 2827/57600 [29:44<9:34:05, 1.59it/s] 5%|▍ | 2828/57600 [29:44<9:25:03, 1.62it/s] 5%|▍ | 2829/57600 [29:45<9:20:57, 1.63it/s] 5%|▍ | 2830/57600 [29:46<9:22:33, 1.62it/s] 5%|▍ | 2831/57600 [29:46<9:25:32, 1.61it/s] 5%|▍ | 2832/57600 [29:47<9:21:42, 1.63it/s] 5%|▍ | 2833/57600 [29:47<9:40:04, 1.57it/s] 5%|▍ | 2834/57600 [29:48<9:49:03, 1.55it/s] 5%|▍ | 2835/57600 [29:49<9:48:30, 1.55it/s] 5%|▍ | 2836/57600 [29:50<10:34:34, 1.44it/s] 5%|▍ | 2837/57600 [29:50<10:32:07, 1.44it/s] 5%|▍ | 2838/57600 [29:51<10:11:56, 1.49it/s] 5%|▍ | 2839/57600 [29:51<9:58:59, 1.52it/s] 5%|▍ | 2840/57600 [29:52<9:43:03, 1.57it/s] {'loss': 1.669, 'learning_rate': 9.586062717770034e-07, 'epoch': 31.35} | |
| 5%|▍ | 2840/57600 [29:52<9:43:03, 1.57it/s] 5%|▍ | 2841/57600 [29:53<9:45:26, 1.56it/s] 5%|▍ | 2842/57600 [29:53<9:45:13, 1.56it/s] 5%|▍ | 2843/57600 [29:54<9:43:25, 1.56it/s] 5%|▍ | 2844/57600 [29:55<9:44:46, 1.56it/s] 5%|▍ | 2845/57600 [29:55<9:36:38, 1.58it/s] 5%|▍ | 2846/57600 [29:56<9:50:32, 1.55it/s] 5%|▍ | 2847/57600 [29:57<9:35:57, 1.58it/s] 5%|▍ | 2848/57600 [29:57<9:22:34, 1.62it/s] 5%|▍ | 2849/57600 [29:58<9:22:55, 1.62it/s] 5%|▍ | 2850/57600 [29:58<9:22:46, 1.62it/s] 5%|▍ | 2851/57600 [29:59<9:29:48, 1.60it/s] 5%|▍ | 2852/57600 [30:00<9:16:53, 1.64it/s] 5%|▍ | 2853/57600 [30:00<9:13:56, 1.65it/s] 5%|▍ | 2854/57600 [30:01<9:11:02, 1.66it/s] 5%|▍ | 2855/57600 [30:01<9:04:16, 1.68it/s] 5%|▍ | 2856/57600 [30:02<9:00:09, 1.69it/s] 5%|▍ | 2857/57600 [30:03<9:10:02, 1.66it/s] 5%|▍ | 2858/57600 [30:03<9:09:58, 1.66it/s] 5%|▍ | 2859/57600 [30:04<9:20:04, 1.63it/s] 5%|▍ | 2860/57600 [30:04<9:15:37, 1.64it/s] {'loss': 1.6597, 'learning_rate': 9.58292682926829e-07, 'epoch': 31.57} | |
| 5%|▍ | 2860/57600 [30:04<9:15:37, 1.64it/s] 5%|▍ | 2861/57600 [30:05<9:38:50, 1.58it/s] 5%|▍ | 2862/57600 [30:06<9:47:08, 1.55it/s] 5%|▍ | 2863/57600 [30:06<9:34:14, 1.59it/s] 5%|▍ | 2864/57600 [30:07<9:31:57, 1.59it/s] 5%|▍ | 2865/57600 [30:08<9:30:35, 1.60it/s] 5%|▍ | 2866/57600 [30:08<9:35:56, 1.58it/s] 5%|▍ | 2867/57600 [30:09<9:34:01, 1.59it/s] 5%|▍ | 2868/57600 [30:09<9:34:22, 1.59it/s] 5%|▍ | 2869/57600 [30:10<9:32:41, 1.59it/s] 5%|▍ | 2870/57600 [30:11<9:37:18, 1.58it/s] 5%|▍ | 2871/57600 [30:11<9:41:51, 1.57it/s] 5%|▍ | 2872/57600 [30:12<9:38:51, 1.58it/s] 5%|▍ | 2873/57600 [30:13<9:50:41, 1.54it/s] 5%|▍ | 2874/57600 [30:13<10:02:53, 1.51it/s] 5%|▍ | 2875/57600 [30:14<9:52:01, 1.54it/s] 5%|▍ | 2876/57600 [30:15<9:45:59, 1.56it/s] 5%|▍ | 2877/57600 [30:15<10:06:21, 1.50it/s] 5%|▍ | 2878/57600 [30:16<10:21:43, 1.47it/s] 5%|▍ | 2879/57600 [30:17<10:35:00, 1.44it/s] 5%|▌ | 2880/57600 [30:17<10:26:44, 1.46it/s] {'loss': 1.5658, 'learning_rate': 9.57979094076655e-07, 'epoch': 31.79} | |
| 5%|▌ | 2880/57600 [30:17<10:26:44, 1.46it/s] 5%|▌ | 2881/57600 [30:18<9:55:45, 1.53it/s] 5%|▌ | 2882/57600 [30:19<9:39:22, 1.57it/s] 5%|▌ | 2883/57600 [30:19<9:44:54, 1.56it/s] 5%|▌ | 2884/57600 [30:20<9:27:08, 1.61it/s] 5%|▌ | 2885/57600 [30:20<9:21:49, 1.62it/s] 5%|▌ | 2886/57600 [30:21<9:31:12, 1.60it/s] 5%|▌ | 2887/57600 [30:22<9:37:05, 1.58it/s] 5%|▌ | 2888/57600 [30:22<9:40:20, 1.57it/s] 5%|▌ | 2889/57600 [30:23<9:36:09, 1.58it/s] 5%|▌ | 2890/57600 [30:24<9:48:37, 1.55it/s] 5%|▌ | 2891/57600 [30:24<9:53:28, 1.54it/s] 5%|▌ | 2892/57600 [30:25<9:47:44, 1.55it/s] 5%|▌ | 2893/57600 [30:26<9:47:58, 1.55it/s] 5%|▌ | 2894/57600 [30:26<10:06:51, 1.50it/s] 5%|▌ | 2895/57600 [30:27<9:42:15, 1.57it/s] 5%|▌ | 2896/57600 [30:28<9:44:49, 1.56it/s] 5%|▌ | 2897/57600 [30:28<10:15:33, 1.48it/s] 5%|▌ | 2898/57600 [30:29<10:00:06, 1.52it/s] 5%|▌ | 2899/57600 [30:30<9:44:10, 1.56it/s] 5%|▌ | 2900/57600 [30:30<10:06:17, 1.50it/s] {'loss': 1.6662, 'learning_rate': 9.576655052264808e-07, 'epoch': 32.01} | |
| 5%|▌ | 2900/57600 [30:30<10:06:17, 1.50it/s] 5%|▌ | 2901/57600 [30:31<9:58:04, 1.52it/s] 5%|▌ | 2902/57600 [30:32<9:52:41, 1.54it/s] 5%|▌ | 2903/57600 [30:32<9:36:37, 1.58it/s] 5%|▌ | 2904/57600 [30:33<9:28:14, 1.60it/s] 5%|▌ | 2905/57600 [30:33<9:38:13, 1.58it/s] 5%|▌ | 2906/57600 [30:34<9:39:37, 1.57it/s] 5%|▌ | 2907/57600 [30:35<9:45:57, 1.56it/s] 5%|▌ | 2908/57600 [30:35<9:38:50, 1.57it/s] 5%|▌ | 2909/57600 [30:36<10:01:54, 1.51it/s] 5%|▌ | 2910/57600 [30:37<9:37:54, 1.58it/s] 5%|▌ | 2911/57600 [30:37<9:23:28, 1.62it/s] 5%|▌ | 2912/57600 [30:38<9:36:58, 1.58it/s] 5%|▌ | 2913/57600 [30:39<9:52:57, 1.54it/s] 5%|▌ | 2914/57600 [30:39<9:59:56, 1.52it/s] 5%|▌ | 2915/57600 [30:40<9:59:14, 1.52it/s] 5%|▌ | 2916/57600 [30:41<9:44:48, 1.56it/s] 5%|▌ | 2917/57600 [30:41<10:08:20, 1.50it/s] 5%|▌ | 2918/57600 [30:42<10:01:16, 1.52it/s] 5%|▌ | 2919/57600 [30:42<9:38:39, 1.57it/s] 5%|▌ | 2920/57600 [30:43<9:22:57, 1.62it/s] {'loss': 1.6241, 'learning_rate': 9.573519163763067e-07, 'epoch': 32.23} | |
| 5%|▌ | 2920/57600 [30:43<9:22:57, 1.62it/s] 5%|▌ | 2921/57600 [30:44<9:19:45, 1.63it/s] 5%|▌ | 2922/57600 [30:44<9:33:44, 1.59it/s] 5%|▌ | 2923/57600 [30:45<9:58:10, 1.52it/s] 5%|▌ | 2924/57600 [30:46<9:44:46, 1.56it/s] 5%|▌ | 2925/57600 [30:46<9:42:53, 1.56it/s] 5%|▌ | 2926/57600 [30:47<9:37:41, 1.58it/s] 5%|▌ | 2927/57600 [30:48<9:32:18, 1.59it/s] 5%|▌ | 2928/57600 [30:48<9:41:13, 1.57it/s] 5%|▌ | 2929/57600 [30:49<9:37:01, 1.58it/s] 5%|▌ | 2930/57600 [30:50<10:12:37, 1.49it/s] 5%|▌ | 2931/57600 [30:50<9:51:56, 1.54it/s] 5%|▌ | 2932/57600 [30:51<10:01:44, 1.51it/s] 5%|▌ | 2933/57600 [30:51<10:00:55, 1.52it/s] 5%|▌ | 2934/57600 [30:52<9:56:47, 1.53it/s] 5%|▌ | 2935/57600 [30:53<9:35:41, 1.58it/s] 5%|▌ | 2936/57600 [30:53<9:23:44, 1.62it/s] 5%|▌ | 2937/57600 [30:54<9:27:38, 1.60it/s] 5%|▌ | 2938/57600 [30:55<9:34:34, 1.59it/s] 5%|▌ | 2939/57600 [30:55<9:34:42, 1.59it/s] 5%|▌ | 2940/57600 [30:56<9:29:57, 1.60it/s] {'loss': 1.6181, 'learning_rate': 9.570383275261325e-07, 'epoch': 32.45} | |
| 5%|▌ | 2940/57600 [30:56<9:29:57, 1.60it/s] 5%|▌ | 2941/57600 [30:56<9:39:58, 1.57it/s] 5%|▌ | 2942/57600 [30:57<9:56:12, 1.53it/s] 5%|▌ | 2943/57600 [30:58<10:04:14, 1.51it/s] 5%|▌ | 2944/57600 [30:59<10:10:09, 1.49it/s] 5%|▌ | 2945/57600 [30:59<9:54:55, 1.53it/s] 5%|▌ | 2946/57600 [31:00<9:35:09, 1.58it/s] 5%|▌ | 2947/57600 [31:00<9:28:26, 1.60it/s] 5%|▌ | 2948/57600 [31:01<9:16:12, 1.64it/s] 5%|▌ | 2949/57600 [31:02<9:10:21, 1.66it/s] 5%|▌ | 2950/57600 [31:02<9:04:27, 1.67it/s] 5%|▌ | 2951/57600 [31:03<9:03:28, 1.68it/s] 5%|▌ | 2952/57600 [31:03<9:07:10, 1.66it/s] 5%|▌ | 2953/57600 [31:04<8:59:24, 1.69it/s] 5%|▌ | 2954/57600 [31:05<9:06:02, 1.67it/s] 5%|▌ | 2955/57600 [31:05<9:22:34, 1.62it/s] 5%|▌ | 2956/57600 [31:06<9:28:12, 1.60it/s] 5%|▌ | 2957/57600 [31:06<9:27:11, 1.61it/s] 5%|▌ | 2958/57600 [31:07<9:31:03, 1.59it/s] 5%|▌ | 2959/57600 [31:08<9:35:02, 1.58it/s] 5%|▌ | 2960/57600 [31:08<9:33:22, 1.59it/s] {'loss': 1.6561, 'learning_rate': 9.567247386759582e-07, 'epoch': 32.67} | |
| 5%|▌ | 2960/57600 [31:08<9:33:22, 1.59it/s] 5%|▌ | 2961/57600 [31:09<9:20:42, 1.62it/s] 5%|▌ | 2962/57600 [31:10<9:25:45, 1.61it/s] 5%|▌ | 2963/57600 [31:10<9:43:40, 1.56it/s] 5%|▌ | 2964/57600 [31:11<9:34:58, 1.58it/s] 5%|▌ | 2965/57600 [31:11<9:43:07, 1.56it/s] 5%|▌ | 2966/57600 [31:12<9:52:05, 1.54it/s] 5%|▌ | 2967/57600 [31:13<9:53:14, 1.53it/s] 5%|▌ | 2968/57600 [31:14<10:06:41, 1.50it/s] 5%|▌ | 2969/57600 [31:14<10:00:50, 1.52it/s] 5%|▌ | 2970/57600 [31:15<10:01:20, 1.51it/s] 5%|▌ | 2971/57600 [31:15<9:52:25, 1.54it/s] 5%|▌ | 2972/57600 [31:16<9:48:32, 1.55it/s] 5%|▌ | 2973/57600 [31:17<9:37:08, 1.58it/s] 5%|▌ | 2974/57600 [31:17<9:25:18, 1.61it/s] 5%|▌ | 2975/57600 [31:18<9:35:14, 1.58it/s] 5%|▌ | 2976/57600 [31:19<9:45:16, 1.56it/s] 5%|▌ | 2977/57600 [31:19<9:29:13, 1.60it/s] 5%|▌ | 2978/57600 [31:20<9:33:25, 1.59it/s] 5%|▌ | 2979/57600 [31:20<9:25:38, 1.61it/s] 5%|▌ | 2980/57600 [31:21<9:34:53, 1.58it/s] {'loss': 1.6176, 'learning_rate': 9.564111498257838e-07, 'epoch': 32.89} | |
| 5%|▌ | 2980/57600 [31:21<9:34:53, 1.58it/s] 5%|▌ | 2981/57600 [31:22<9:33:40, 1.59it/s] 5%|▌ | 2982/57600 [31:22<9:39:36, 1.57it/s] 5%|▌ | 2983/57600 [31:23<9:27:14, 1.60it/s] 5%|▌ | 2984/57600 [31:24<9:16:22, 1.64it/s] 5%|▌ | 2985/57600 [31:24<9:25:13, 1.61it/s] 5%|▌ | 2986/57600 [31:25<9:28:32, 1.60it/s] 5%|▌ | 2987/57600 [31:25<9:08:44, 1.66it/s] 5%|▌ | 2988/57600 [31:26<9:19:13, 1.63it/s] 5%|▌ | 2989/57600 [31:27<9:28:38, 1.60it/s] 5%|▌ | 2990/57600 [31:27<10:01:57, 1.51it/s] 5%|▌ | 2991/57600 [31:28<9:40:14, 1.57it/s] 5%|▌ | 2992/57600 [31:29<9:28:25, 1.60it/s] 5%|▌ | 2993/57600 [31:29<9:23:20, 1.62it/s] 5%|▌ | 2994/57600 [31:30<9:12:24, 1.65it/s] 5%|▌ | 2995/57600 [31:30<9:13:33, 1.64it/s] 5%|▌ | 2996/57600 [31:31<9:32:15, 1.59it/s] 5%|▌ | 2997/57600 [31:32<9:24:51, 1.61it/s] 5%|▌ | 2998/57600 [31:32<9:21:44, 1.62it/s] 5%|▌ | 2999/57600 [31:33<9:19:20, 1.63it/s] 5%|▌ | 3000/57600 [31:33<9:12:10, 1.65it/s] {'loss': 1.686, 'learning_rate': 9.560975609756097e-07, 'epoch': 33.11} | |
| 5%|▌ | 3000/57600 [31:33<9:12:10, 1.65it/s] 5%|▌ | 3001/57600 [31:34<9:14:59, 1.64it/s] 5%|▌ | 3002/57600 [31:35<9:24:46, 1.61it/s] 5%|▌ | 3003/57600 [31:35<9:14:55, 1.64it/s] 5%|▌ | 3004/57600 [31:36<9:22:59, 1.62it/s] 5%|▌ | 3005/57600 [31:37<9:31:53, 1.59it/s] 5%|▌ | 3006/57600 [31:37<9:38:03, 1.57it/s] 5%|▌ | 3007/57600 [31:38<9:45:26, 1.55it/s] 5%|▌ | 3008/57600 [31:39<9:39:29, 1.57it/s] 5%|▌ | 3009/57600 [31:39<9:47:40, 1.55it/s] 5%|▌ | 3010/57600 [31:40<9:45:02, 1.56it/s] 5%|▌ | 3011/57600 [31:41<9:50:40, 1.54it/s] 5%|▌ | 3012/57600 [31:41<9:46:23, 1.55it/s] 5%|▌ | 3013/57600 [31:42<9:45:41, 1.55it/s] 5%|▌ | 3014/57600 [31:42<9:45:00, 1.56it/s] 5%|▌ | 3015/57600 [31:43<9:50:36, 1.54it/s] 5%|▌ | 3016/57600 [31:44<9:55:52, 1.53it/s] 5%|▌ | 3017/57600 [31:44<9:39:59, 1.57it/s] 5%|▌ | 3018/57600 [31:45<9:39:35, 1.57it/s] 5%|▌ | 3019/57600 [31:46<9:23:48, 1.61it/s] 5%|▌ | 3020/57600 [31:46<9:50:14, 1.54it/s] {'loss': 1.5938, 'learning_rate': 9.557839721254355e-07, 'epoch': 33.33} | |
| 5%|▌ | 3020/57600 [31:46<9:50:14, 1.54it/s] 5%|▌ | 3021/57600 [31:47<9:52:15, 1.54it/s] 5%|▌ | 3022/57600 [31:48<9:33:52, 1.59it/s] 5%|▌ | 3023/57600 [31:48<9:30:52, 1.59it/s] 5%|▌ | 3024/57600 [31:49<9:28:52, 1.60it/s] 5%|▌ | 3025/57600 [31:49<9:31:08, 1.59it/s] 5%|▌ | 3026/57600 [31:50<9:40:27, 1.57it/s] 5%|▌ | 3027/57600 [31:51<9:45:20, 1.55it/s] 5%|▌ | 3028/57600 [31:51<9:45:49, 1.55it/s] 5%|▌ | 3029/57600 [31:52<9:33:24, 1.59it/s] 5%|▌ | 3030/57600 [31:53<9:29:00, 1.60it/s] 5%|▌ | 3031/57600 [31:53<9:39:02, 1.57it/s] 5%|▌ | 3032/57600 [31:54<9:59:59, 1.52it/s] 5%|▌ | 3033/57600 [31:55<9:51:51, 1.54it/s] 5%|▌ | 3034/57600 [31:55<9:47:14, 1.55it/s] 5%|▌ | 3035/57600 [31:56<9:37:28, 1.57it/s] 5%|▌ | 3036/57600 [31:56<9:23:26, 1.61it/s] 5%|▌ | 3037/57600 [31:57<9:07:28, 1.66it/s] 5%|▌ | 3038/57600 [31:58<9:10:08, 1.65it/s] 5%|▌ | 3039/57600 [31:58<9:11:36, 1.65it/s] 5%|▌ | 3040/57600 [31:59<9:20:27, 1.62it/s] {'loss': 1.5952, 'learning_rate': 9.554703832752614e-07, 'epoch': 33.55} | |
| 5%|▌ | 3040/57600 [31:59<9:20:27, 1.62it/s] 5%|▌ | 3041/57600 [31:59<9:16:23, 1.63it/s] 5%|▌ | 3042/57600 [32:00<9:04:06, 1.67it/s] 5%|▌ | 3043/57600 [32:01<9:04:55, 1.67it/s] 5%|▌ | 3044/57600 [32:01<9:23:52, 1.61it/s] 5%|▌ | 3045/57600 [32:02<9:25:39, 1.61it/s] 5%|▌ | 3046/57600 [32:03<9:44:34, 1.56it/s] 5%|▌ | 3047/57600 [32:03<9:35:18, 1.58it/s] 5%|▌ | 3048/57600 [32:04<10:07:24, 1.50it/s] 5%|▌ | 3049/57600 [32:05<9:39:51, 1.57it/s] 5%|▌ | 3050/57600 [32:05<9:30:43, 1.59it/s] 5%|▌ | 3051/57600 [32:06<9:39:06, 1.57it/s] 5%|▌ | 3052/57600 [32:06<9:29:19, 1.60it/s] 5%|▌ | 3053/57600 [32:07<9:24:39, 1.61it/s] 5%|▌ | 3054/57600 [32:08<9:33:17, 1.59it/s] 5%|▌ | 3055/57600 [32:08<9:58:33, 1.52it/s] 5%|▌ | 3056/57600 [32:09<9:42:03, 1.56it/s] 5%|▌ | 3057/57600 [32:10<9:39:00, 1.57it/s] 5%|▌ | 3058/57600 [32:10<9:49:38, 1.54it/s] 5%|▌ | 3059/57600 [32:11<9:40:40, 1.57it/s] 5%|▌ | 3060/57600 [32:12<9:41:18, 1.56it/s] {'loss': 1.5772, 'learning_rate': 9.55156794425087e-07, 'epoch': 33.77} | |
| 5%|▌ | 3060/57600 [32:12<9:41:18, 1.56it/s] 5%|▌ | 3061/57600 [32:12<9:40:15, 1.57it/s] 5%|▌ | 3062/57600 [32:13<9:51:36, 1.54it/s] 5%|▌ | 3063/57600 [32:14<10:00:56, 1.51it/s] 5%|▌ | 3064/57600 [32:14<9:59:05, 1.52it/s] 5%|▌ | 3065/57600 [32:15<9:54:20, 1.53it/s] 5%|▌ | 3066/57600 [32:15<9:57:38, 1.52it/s] 5%|▌ | 3067/57600 [32:16<9:51:50, 1.54it/s] 5%|▌ | 3068/57600 [32:17<9:40:29, 1.57it/s] 5%|▌ | 3069/57600 [32:17<9:38:51, 1.57it/s] 5%|▌ | 3070/57600 [32:18<9:43:37, 1.56it/s] 5%|▌ | 3071/57600 [32:19<9:52:39, 1.53it/s] 5%|▌ | 3072/57600 [32:19<10:02:24, 1.51it/s] 5%|▌ | 3073/57600 [32:20<9:55:03, 1.53it/s] 5%|▌ | 3074/57600 [32:21<9:51:18, 1.54it/s] 5%|▌ | 3075/57600 [32:21<9:35:58, 1.58it/s] 5%|▌ | 3076/57600 [32:22<9:30:01, 1.59it/s] 5%|▌ | 3077/57600 [32:23<9:30:53, 1.59it/s] 5%|▌ | 3078/57600 [32:23<9:21:12, 1.62it/s] 5%|▌ | 3079/57600 [32:24<9:40:44, 1.56it/s] 5%|▌ | 3080/57600 [32:24<9:36:59, 1.57it/s] {'loss': 1.5889, 'learning_rate': 9.548432055749129e-07, 'epoch': 34.0} | |
| 5%|▌ | 3080/57600 [32:24<9:36:59, 1.57it/s] 5%|▌ | 3081/57600 [32:25<10:07:45, 1.50it/s] 5%|▌ | 3082/57600 [32:26<9:48:10, 1.54it/s] 5%|▌ | 3083/57600 [32:26<9:51:48, 1.54it/s] 5%|▌ | 3084/57600 [32:27<9:55:29, 1.53it/s] 5%|▌ | 3085/57600 [32:28<9:47:42, 1.55it/s] 5%|▌ | 3086/57600 [32:28<9:56:03, 1.52it/s] 5%|▌ | 3087/57600 [32:29<9:42:57, 1.56it/s] 5%|▌ | 3088/57600 [32:30<10:02:47, 1.51it/s] 5%|▌ | 3089/57600 [32:30<10:05:13, 1.50it/s] 5%|▌ | 3090/57600 [32:31<9:54:46, 1.53it/s] 5%|▌ | 3091/57600 [32:32<10:13:26, 1.48it/s] 5%|▌ | 3092/57600 [32:32<9:59:50, 1.51it/s] 5%|▌ | 3093/57600 [32:33<9:52:38, 1.53it/s] 5%|▌ | 3094/57600 [32:34<9:47:24, 1.55it/s] 5%|▌ | 3095/57600 [32:34<9:49:11, 1.54it/s] 5%|▌ | 3096/57600 [32:35<10:00:21, 1.51it/s] 5%|▌ | 3097/57600 [32:36<9:51:17, 1.54it/s] 5%|▌ | 3098/57600 [32:36<9:46:11, 1.55it/s] 5%|▌ | 3099/57600 [32:37<9:37:51, 1.57it/s] 5%|▌ | 3100/57600 [32:37<9:37:38, 1.57it/s] {'loss': 1.5953, 'learning_rate': 9.545296167247385e-07, 'epoch': 34.22} | |
| 5%|▌ | 3100/57600 [32:37<9:37:38, 1.57it/s] 5%|▌ | 3101/57600 [32:38<9:56:14, 1.52it/s] 5%|▌ | 3102/57600 [32:39<9:50:43, 1.54it/s] 5%|▌ | 3103/57600 [32:39<9:36:28, 1.58it/s] 5%|▌ | 3104/57600 [32:40<9:49:19, 1.54it/s] 5%|▌ | 3105/57600 [32:41<9:40:46, 1.56it/s] 5%|▌ | 3106/57600 [32:41<9:26:39, 1.60it/s] 5%|▌ | 3107/57600 [32:42<9:22:48, 1.61it/s] 5%|▌ | 3108/57600 [32:43<9:19:07, 1.62it/s] 5%|▌ | 3109/57600 [32:43<9:17:40, 1.63it/s] 5%|▌ | 3110/57600 [32:44<9:30:19, 1.59it/s] 5%|▌ | 3111/57600 [32:44<9:32:30, 1.59it/s] 5%|▌ | 3112/57600 [32:45<9:30:16, 1.59it/s] 5%|▌ | 3113/57600 [32:46<9:27:14, 1.60it/s] 5%|▌ | 3114/57600 [32:46<9:23:46, 1.61it/s] 5%|▌ | 3115/57600 [32:47<9:25:20, 1.61it/s] 5%|▌ | 3116/57600 [32:48<9:35:41, 1.58it/s] 5%|▌ | 3117/57600 [32:48<9:33:20, 1.58it/s] 5%|▌ | 3118/57600 [32:49<9:26:05, 1.60it/s] 5%|▌ | 3119/57600 [32:49<9:21:28, 1.62it/s] 5%|▌ | 3120/57600 [32:50<9:22:24, 1.61it/s] {'loss': 1.6379, 'learning_rate': 9.542160278745644e-07, 'epoch': 34.44} | |
| 5%|▌ | 3120/57600 [32:50<9:22:24, 1.61it/s] 5%|▌ | 3121/57600 [32:51<9:28:33, 1.60it/s] 5%|▌ | 3122/57600 [32:51<9:13:59, 1.64it/s] 5%|▌ | 3123/57600 [32:52<9:28:48, 1.60it/s] 5%|▌ | 3124/57600 [32:53<9:38:18, 1.57it/s] 5%|▌ | 3125/57600 [32:53<9:22:07, 1.62it/s] 5%|▌ | 3126/57600 [32:54<9:26:49, 1.60it/s] 5%|▌ | 3127/57600 [32:54<9:36:17, 1.58it/s] 5%|▌ | 3128/57600 [32:55<9:42:21, 1.56it/s] 5%|▌ | 3129/57600 [32:56<9:50:35, 1.54it/s] 5%|▌ | 3130/57600 [32:56<9:57:05, 1.52it/s] 5%|▌ | 3131/57600 [32:57<9:47:25, 1.55it/s] 5%|▌ | 3132/57600 [32:58<9:26:07, 1.60it/s] 5%|▌ | 3133/57600 [32:58<9:43:23, 1.56it/s] 5%|▌ | 3134/57600 [32:59<9:30:30, 1.59it/s] 5%|▌ | 3135/57600 [33:00<9:19:36, 1.62it/s] 5%|▌ | 3136/57600 [33:00<9:16:31, 1.63it/s] 5%|▌ | 3137/57600 [33:01<9:07:34, 1.66it/s] 5%|▌ | 3138/57600 [33:01<9:29:26, 1.59it/s] 5%|▌ | 3139/57600 [33:02<9:17:39, 1.63it/s] 5%|▌ | 3140/57600 [33:03<9:09:25, 1.65it/s] {'loss': 1.6252, 'learning_rate': 9.539024390243903e-07, 'epoch': 34.66} | |
| 5%|▌ | 3140/57600 [33:03<9:09:25, 1.65it/s] 5%|▌ | 3141/57600 [33:03<9:28:23, 1.60it/s] 5%|▌ | 3142/57600 [33:04<9:21:28, 1.62it/s] 5%|▌ | 3143/57600 [33:05<9:41:11, 1.56it/s] 5%|▌ | 3144/57600 [33:05<9:36:16, 1.57it/s] 5%|▌ | 3145/57600 [33:06<9:29:49, 1.59it/s] 5%|▌ | 3146/57600 [33:06<9:30:46, 1.59it/s] 5%|▌ | 3147/57600 [33:07<9:21:01, 1.62it/s] 5%|▌ | 3148/57600 [33:08<9:11:34, 1.65it/s] 5%|▌ | 3149/57600 [33:08<9:07:12, 1.66it/s] 5%|▌ | 3150/57600 [33:09<9:20:48, 1.62it/s] 5%|▌ | 3151/57600 [33:09<9:30:27, 1.59it/s] 5%|▌ | 3152/57600 [33:10<9:18:50, 1.62it/s] 5%|▌ | 3153/57600 [33:11<9:42:43, 1.56it/s] 5%|▌ | 3154/57600 [33:11<10:05:42, 1.50it/s] 5%|▌ | 3155/57600 [33:12<9:46:58, 1.55it/s] 5%|▌ | 3156/57600 [33:13<9:47:25, 1.54it/s] 5%|▌ | 3157/57600 [33:13<9:24:09, 1.61it/s] 5%|▌ | 3158/57600 [33:14<9:32:18, 1.59it/s] 5%|▌ | 3159/57600 [33:15<9:26:11, 1.60it/s] 5%|▌ | 3160/57600 [33:15<9:12:08, 1.64it/s] {'loss': 1.628, 'learning_rate': 9.53588850174216e-07, 'epoch': 34.88} | |
| 5%|▌ | 3160/57600 [33:15<9:12:08, 1.64it/s] 5%|▌ | 3161/57600 [33:16<9:02:46, 1.67it/s] 5%|▌ | 3162/57600 [33:16<9:04:37, 1.67it/s] 5%|▌ | 3163/57600 [33:17<9:30:55, 1.59it/s] 5%|▌ | 3164/57600 [33:18<9:24:59, 1.61it/s] 5%|▌ | 3165/57600 [33:18<9:27:05, 1.60it/s] 5%|▌ | 3166/57600 [33:19<9:25:14, 1.61it/s] 5%|▌ | 3167/57600 [33:19<9:28:54, 1.59it/s] 6%|▌ | 3168/57600 [33:20<9:45:12, 1.55it/s] 6%|▌ | 3169/57600 [33:21<9:55:13, 1.52it/s] 6%|▌ | 3170/57600 [33:21<9:40:28, 1.56it/s] 6%|▌ | 3171/57600 [33:22<9:28:26, 1.60it/s] 6%|▌ | 3172/57600 [33:23<9:43:37, 1.55it/s] 6%|▌ | 3173/57600 [33:23<9:32:53, 1.58it/s] 6%|▌ | 3174/57600 [33:24<9:20:12, 1.62it/s] 6%|▌ | 3175/57600 [33:25<9:23:55, 1.61it/s] 6%|▌ | 3176/57600 [33:25<9:23:23, 1.61it/s] 6%|▌ | 3177/57600 [33:26<9:25:33, 1.60it/s] 6%|▌ | 3178/57600 [33:26<9:15:09, 1.63it/s] 6%|▌ | 3179/57600 [33:27<9:30:03, 1.59it/s] 6%|▌ | 3180/57600 [33:28<9:15:18, 1.63it/s] {'loss': 1.6547, 'learning_rate': 9.532752613240419e-07, 'epoch': 35.1} | |
| 6%|▌ | 3180/57600 [33:28<9:15:18, 1.63it/s] 6%|▌ | 3181/57600 [33:28<9:12:29, 1.64it/s] 6%|▌ | 3182/57600 [33:29<9:01:43, 1.67it/s] 6%|▌ | 3183/57600 [33:29<9:27:53, 1.60it/s] 6%|▌ | 3184/57600 [33:30<9:15:50, 1.63it/s] 6%|▌ | 3185/57600 [33:31<9:12:26, 1.64it/s] 6%|▌ | 3186/57600 [33:31<9:07:35, 1.66it/s] 6%|▌ | 3187/57600 [33:32<9:06:26, 1.66it/s] 6%|▌ | 3188/57600 [33:33<9:17:00, 1.63it/s] 6%|▌ | 3189/57600 [33:33<9:29:23, 1.59it/s] 6%|▌ | 3190/57600 [33:34<9:36:40, 1.57it/s] 6%|▌ | 3191/57600 [33:34<9:20:47, 1.62it/s] 6%|▌ | 3192/57600 [33:35<9:42:45, 1.56it/s] 6%|▌ | 3193/57600 [33:36<9:22:48, 1.61it/s] 6%|▌ | 3194/57600 [33:36<9:30:28, 1.59it/s] 6%|▌ | 3195/57600 [33:37<9:38:55, 1.57it/s] 6%|▌ | 3196/57600 [33:38<9:27:03, 1.60it/s] 6%|▌ | 3197/57600 [33:38<9:13:23, 1.64it/s] 6%|▌ | 3198/57600 [33:39<9:19:06, 1.62it/s] 6%|▌ | 3199/57600 [33:39<9:09:05, 1.65it/s] 6%|▌ | 3200/57600 [33:40<8:57:42, 1.69it/s] {'loss': 1.6308, 'learning_rate': 9.529616724738675e-07, 'epoch': 35.32} | |
| 6%|▌ | 3200/57600 [33:40<8:57:42, 1.69it/s] 6%|▌ | 3201/57600 [33:41<9:00:00, 1.68it/s] 6%|▌ | 3202/57600 [33:41<9:17:25, 1.63it/s] 6%|▌ | 3203/57600 [33:42<9:39:33, 1.56it/s] 6%|▌ | 3204/57600 [33:43<9:49:04, 1.54it/s] 6%|▌ | 3205/57600 [33:43<9:50:23, 1.54it/s] 6%|▌ | 3206/57600 [33:44<9:49:00, 1.54it/s] 6%|▌ | 3207/57600 [33:44<9:32:55, 1.58it/s] 6%|▌ | 3208/57600 [33:45<9:31:07, 1.59it/s] 6%|▌ | 3209/57600 [33:46<9:33:15, 1.58it/s] 6%|▌ | 3210/57600 [33:46<9:20:19, 1.62it/s] 6%|▌ | 3211/57600 [33:47<9:16:00, 1.63it/s] 6%|▌ | 3212/57600 [33:48<9:22:50, 1.61it/s] 6%|▌ | 3213/57600 [33:48<9:23:46, 1.61it/s] 6%|▌ | 3214/57600 [33:49<9:17:16, 1.63it/s] 6%|▌ | 3215/57600 [33:49<9:25:04, 1.60it/s] 6%|▌ | 3216/57600 [33:50<9:20:22, 1.62it/s] 6%|▌ | 3217/57600 [33:51<9:22:54, 1.61it/s] 6%|▌ | 3218/57600 [33:51<9:37:39, 1.57it/s] 6%|▌ | 3219/57600 [33:52<9:39:13, 1.56it/s] 6%|▌ | 3220/57600 [33:53<9:44:06, 1.55it/s] {'loss': 1.599, 'learning_rate': 9.526480836236935e-07, 'epoch': 35.54} | |
| 6%|▌ | 3220/57600 [33:53<9:44:06, 1.55it/s] 6%|▌ | 3221/57600 [33:53<9:45:41, 1.55it/s] 6%|▌ | 3222/57600 [33:54<10:00:11, 1.51it/s] 6%|▌ | 3223/57600 [33:55<9:51:50, 1.53it/s] 6%|▌ | 3224/57600 [33:55<9:45:17, 1.55it/s] 6%|▌ | 3225/57600 [33:56<9:55:44, 1.52it/s] 6%|▌ | 3226/57600 [33:57<9:51:09, 1.53it/s] 6%|▌ | 3227/57600 [33:57<9:33:12, 1.58it/s] 6%|▌ | 3228/57600 [33:58<9:33:22, 1.58it/s] 6%|▌ | 3229/57600 [33:58<9:27:37, 1.60it/s] 6%|▌ | 3230/57600 [33:59<9:34:56, 1.58it/s] 6%|▌ | 3231/57600 [34:00<9:46:30, 1.55it/s] 6%|▌ | 3232/57600 [34:00<9:34:46, 1.58it/s] 6%|▌ | 3233/57600 [34:01<9:28:35, 1.59it/s] 6%|▌ | 3234/57600 [34:02<9:30:09, 1.59it/s] 6%|▌ | 3235/57600 [34:02<9:37:21, 1.57it/s] 6%|▌ | 3236/57600 [34:03<9:35:58, 1.57it/s] 6%|▌ | 3237/57600 [34:03<9:38:51, 1.57it/s] 6%|▌ | 3238/57600 [34:04<9:42:20, 1.56it/s] 6%|▌ | 3239/57600 [34:05<9:39:07, 1.56it/s] 6%|▌ | 3240/57600 [34:05<9:22:02, 1.61it/s] {'loss': 1.6198, 'learning_rate': 9.523344947735191e-07, 'epoch': 35.76} | |
| 6%|▌ | 3240/57600 [34:05<9:22:02, 1.61it/s] 6%|▌ | 3241/57600 [34:06<9:41:40, 1.56it/s] 6%|▌ | 3242/57600 [34:07<9:46:08, 1.55it/s] 6%|▌ | 3243/57600 [34:07<9:41:12, 1.56it/s] 6%|▌ | 3244/57600 [34:08<9:40:43, 1.56it/s] 6%|▌ | 3245/57600 [34:09<9:43:09, 1.55it/s] 6%|▌ | 3246/57600 [34:09<9:45:44, 1.55it/s] 6%|▌ | 3247/57600 [34:10<9:46:31, 1.54it/s] 6%|▌ | 3248/57600 [34:11<9:44:21, 1.55it/s] 6%|▌ | 3249/57600 [34:11<9:29:40, 1.59it/s] 6%|▌ | 3250/57600 [34:12<9:39:07, 1.56it/s] 6%|▌ | 3251/57600 [34:12<9:41:31, 1.56it/s] 6%|▌ | 3252/57600 [34:13<9:31:36, 1.58it/s] 6%|▌ | 3253/57600 [34:14<9:26:35, 1.60it/s] 6%|▌ | 3254/57600 [34:14<9:37:11, 1.57it/s] 6%|▌ | 3255/57600 [34:15<9:26:38, 1.60it/s] 6%|▌ | 3256/57600 [34:16<9:35:14, 1.57it/s] 6%|▌ | 3257/57600 [34:16<9:28:01, 1.59it/s] 6%|▌ | 3258/57600 [34:17<9:44:18, 1.55it/s] 6%|▌ | 3259/57600 [34:18<9:44:22, 1.55it/s] 6%|▌ | 3260/57600 [34:18<9:25:30, 1.60it/s] {'loss': 1.6248, 'learning_rate': 9.520209059233449e-07, 'epoch': 35.98} | |
| 6%|▌ | 3260/57600 [34:18<9:25:30, 1.60it/s] 6%|▌ | 3261/57600 [34:19<9:10:26, 1.65it/s] 6%|▌ | 3262/57600 [34:19<9:24:50, 1.60it/s] 6%|▌ | 3263/57600 [34:20<9:28:02, 1.59it/s] 6%|▌ | 3264/57600 [34:21<9:16:58, 1.63it/s] 6%|▌ | 3265/57600 [34:21<9:34:56, 1.58it/s] 6%|▌ | 3266/57600 [34:22<9:39:31, 1.56it/s] 6%|▌ | 3267/57600 [34:23<9:45:44, 1.55it/s] 6%|▌ | 3268/57600 [34:23<9:41:00, 1.56it/s] 6%|▌ | 3269/57600 [34:24<9:50:05, 1.53it/s] 6%|▌ | 3270/57600 [34:24<9:30:05, 1.59it/s] 6%|▌ | 3271/57600 [34:25<9:30:47, 1.59it/s] 6%|▌ | 3272/57600 [34:26<9:14:17, 1.63it/s] 6%|▌ | 3273/57600 [34:26<9:19:32, 1.62it/s] 6%|▌ | 3274/57600 [34:27<9:30:20, 1.59it/s] 6%|▌ | 3275/57600 [34:28<9:15:52, 1.63it/s] 6%|▌ | 3276/57600 [34:28<9:35:40, 1.57it/s] 6%|▌ | 3277/57600 [34:29<9:38:34, 1.56it/s] 6%|▌ | 3278/57600 [34:29<9:38:59, 1.56it/s] 6%|▌ | 3279/57600 [34:30<9:29:34, 1.59it/s] 6%|▌ | 3280/57600 [34:31<9:30:58, 1.59it/s] {'loss': 1.576, 'learning_rate': 9.517073170731706e-07, 'epoch': 36.2} | |
| 6%|▌ | 3280/57600 [34:31<9:30:58, 1.59it/s] 6%|▌ | 3281/57600 [34:31<9:37:55, 1.57it/s] 6%|▌ | 3282/57600 [34:32<9:54:18, 1.52it/s] 6%|▌ | 3283/57600 [34:33<9:40:27, 1.56it/s] 6%|▌ | 3284/57600 [34:33<9:38:26, 1.56it/s] 6%|▌ | 3285/57600 [34:34<9:20:17, 1.62it/s] 6%|▌ | 3286/57600 [34:35<9:26:47, 1.60it/s] 6%|▌ | 3287/57600 [34:35<9:35:42, 1.57it/s] 6%|▌ | 3288/57600 [34:36<9:31:08, 1.58it/s] 6%|▌ | 3289/57600 [34:36<9:41:38, 1.56it/s] 6%|▌ | 3290/57600 [34:37<9:22:00, 1.61it/s] 6%|▌ | 3291/57600 [34:38<9:28:38, 1.59it/s] 6%|▌ | 3292/57600 [34:38<9:16:10, 1.63it/s] 6%|▌ | 3293/57600 [34:39<9:10:51, 1.64it/s] 6%|▌ | 3294/57600 [34:40<9:23:08, 1.61it/s] 6%|▌ | 3295/57600 [34:40<9:11:06, 1.64it/s] 6%|▌ | 3296/57600 [34:41<9:18:34, 1.62it/s] 6%|▌ | 3297/57600 [34:41<8:58:32, 1.68it/s] 6%|▌ | 3298/57600 [34:42<9:03:43, 1.66it/s] 6%|▌ | 3299/57600 [34:43<9:05:25, 1.66it/s] 6%|▌ | 3300/57600 [34:43<9:07:56, 1.65it/s] {'loss': 1.6648, 'learning_rate': 9.513937282229965e-07, 'epoch': 36.42} | |
| 6%|▌ | 3300/57600 [34:43<9:07:56, 1.65it/s] 6%|▌ | 3301/57600 [34:44<9:21:29, 1.61it/s] 6%|▌ | 3302/57600 [34:44<9:10:19, 1.64it/s] 6%|▌ | 3303/57600 [34:45<9:05:13, 1.66it/s] 6%|▌ | 3304/57600 [34:46<9:21:51, 1.61it/s] 6%|▌ | 3305/57600 [34:46<9:24:46, 1.60it/s] 6%|▌ | 3306/57600 [34:47<9:09:14, 1.65it/s] 6%|▌ | 3307/57600 [34:47<9:07:51, 1.65it/s] 6%|▌ | 3308/57600 [34:48<9:28:09, 1.59it/s] 6%|▌ | 3309/57600 [34:49<9:28:03, 1.59it/s] 6%|▌ | 3310/57600 [34:49<9:22:00, 1.61it/s] 6%|▌ | 3311/57600 [34:50<9:46:51, 1.54it/s] 6%|▌ | 3312/57600 [34:51<9:41:03, 1.56it/s] 6%|▌ | 3313/57600 [34:51<9:21:02, 1.61it/s] 6%|▌ | 3314/57600 [34:52<9:26:57, 1.60it/s] 6%|▌ | 3315/57600 [34:53<9:37:22, 1.57it/s] 6%|▌ | 3316/57600 [34:53<9:59:15, 1.51it/s] 6%|▌ | 3317/57600 [34:54<10:08:00, 1.49it/s] 6%|▌ | 3318/57600 [34:55<9:57:43, 1.51it/s] 6%|▌ | 3319/57600 [34:55<9:43:51, 1.55it/s] 6%|▌ | 3320/57600 [34:56<10:01:22, 1.50it/s] {'loss': 1.6035, 'learning_rate': 9.510801393728223e-07, 'epoch': 36.64} | |
| 6%|▌ | 3320/57600 [34:56<10:01:22, 1.50it/s] 6%|▌ | 3321/57600 [34:57<10:01:08, 1.50it/s] 6%|▌ | 3322/57600 [34:57<10:04:02, 1.50it/s] 6%|▌ | 3323/57600 [34:58<9:53:36, 1.52it/s] 6%|▌ | 3324/57600 [34:58<9:41:04, 1.56it/s] 6%|▌ | 3325/57600 [34:59<9:38:35, 1.56it/s] 6%|▌ | 3326/57600 [35:00<9:51:19, 1.53it/s] 6%|▌ | 3327/57600 [35:00<9:39:51, 1.56it/s] 6%|▌ | 3328/57600 [35:01<9:28:58, 1.59it/s] 6%|▌ | 3329/57600 [35:02<9:31:09, 1.58it/s] 6%|▌ | 3330/57600 [35:02<9:11:59, 1.64it/s] 6%|▌ | 3331/57600 [35:03<9:13:27, 1.63it/s] 6%|▌ | 3332/57600 [35:03<9:15:21, 1.63it/s] 6%|▌ | 3333/57600 [35:04<9:20:32, 1.61it/s] 6%|▌ | 3334/57600 [35:05<9:37:36, 1.57it/s] 6%|▌ | 3335/57600 [35:05<9:53:29, 1.52it/s] 6%|▌ | 3336/57600 [35:06<10:01:13, 1.50it/s] 6%|▌ | 3337/57600 [35:07<9:49:09, 1.54it/s] 6%|▌ | 3338/57600 [35:07<9:32:00, 1.58it/s] 6%|▌ | 3339/57600 [35:08<9:40:41, 1.56it/s] 6%|▌ | 3340/57600 [35:09<9:29:12, 1.59it/s] {'loss': 1.6051, 'learning_rate': 9.50766550522648e-07, 'epoch': 36.87} | |
| 6%|▌ | 3340/57600 [35:09<9:29:12, 1.59it/s] 6%|▌ | 3341/57600 [35:09<9:31:25, 1.58it/s] 6%|▌ | 3342/57600 [35:10<9:29:45, 1.59it/s] 6%|▌ | 3343/57600 [35:11<9:25:34, 1.60it/s] 6%|▌ | 3344/57600 [35:11<9:26:40, 1.60it/s] 6%|▌ | 3345/57600 [35:12<9:15:09, 1.63it/s] 6%|▌ | 3346/57600 [35:12<9:21:30, 1.61it/s] 6%|▌ | 3347/57600 [35:13<9:21:05, 1.61it/s] 6%|▌ | 3348/57600 [35:14<9:33:08, 1.58it/s] 6%|▌ | 3349/57600 [35:14<9:44:13, 1.55it/s] 6%|▌ | 3350/57600 [35:15<9:26:09, 1.60it/s] 6%|▌ | 3351/57600 [35:15<9:17:04, 1.62it/s] 6%|▌ | 3352/57600 [35:16<9:16:26, 1.62it/s] 6%|▌ | 3353/57600 [35:17<9:43:50, 1.55it/s] 6%|▌ | 3354/57600 [35:18<9:58:21, 1.51it/s] 6%|▌ | 3355/57600 [35:18<10:12:12, 1.48it/s] 6%|▌ | 3356/57600 [35:19<10:07:18, 1.49it/s] 6%|▌ | 3357/57600 [35:19<9:44:07, 1.55it/s] 6%|▌ | 3358/57600 [35:20<9:35:50, 1.57it/s] 6%|▌ | 3359/57600 [35:21<9:28:49, 1.59it/s] 6%|▌ | 3360/57600 [35:21<9:33:01, 1.58it/s] {'loss': 1.6052, 'learning_rate': 9.504529616724738e-07, 'epoch': 37.09} | |
| 6%|▌ | 3360/57600 [35:21<9:33:01, 1.58it/s] 6%|▌ | 3361/57600 [35:22<9:37:22, 1.57it/s] 6%|▌ | 3362/57600 [35:23<9:29:37, 1.59it/s] 6%|▌ | 3363/57600 [35:23<9:37:23, 1.57it/s] 6%|▌ | 3364/57600 [35:24<10:05:25, 1.49it/s] 6%|▌ | 3365/57600 [35:25<10:06:13, 1.49it/s] 6%|▌ | 3366/57600 [35:25<10:14:05, 1.47it/s] 6%|▌ | 3367/57600 [35:26<10:03:20, 1.50it/s] 6%|▌ | 3368/57600 [35:27<9:52:22, 1.53it/s] 6%|▌ | 3369/57600 [35:27<9:39:31, 1.56it/s] 6%|▌ | 3370/57600 [35:28<9:38:13, 1.56it/s] 6%|▌ | 3371/57600 [35:29<9:35:45, 1.57it/s] 6%|▌ | 3372/57600 [35:29<9:34:41, 1.57it/s] 6%|▌ | 3373/57600 [35:30<9:25:37, 1.60it/s] 6%|▌ | 3374/57600 [35:30<9:37:14, 1.57it/s] 6%|▌ | 3375/57600 [35:31<9:22:01, 1.61it/s] 6%|▌ | 3376/57600 [35:32<9:28:19, 1.59it/s] 6%|▌ | 3377/57600 [35:32<9:27:12, 1.59it/s] 6%|▌ | 3378/57600 [35:33<9:22:32, 1.61it/s] 6%|▌ | 3379/57600 [35:34<9:29:32, 1.59it/s] 6%|▌ | 3380/57600 [35:34<9:32:25, 1.58it/s] {'loss': 1.6081, 'learning_rate': 9.501393728222996e-07, 'epoch': 37.31} | |
| 6%|▌ | 3380/57600 [35:34<9:32:25, 1.58it/s] 6%|▌ | 3381/57600 [35:35<9:26:14, 1.60it/s] 6%|▌ | 3382/57600 [35:35<9:47:06, 1.54it/s] 6%|▌ | 3383/57600 [35:36<10:02:02, 1.50it/s] 6%|▌ | 3384/57600 [35:37<9:46:14, 1.54it/s] 6%|▌ | 3385/57600 [35:37<9:55:41, 1.52it/s] 6%|▌ | 3386/57600 [35:38<9:36:23, 1.57it/s] 6%|▌ | 3387/57600 [35:39<9:34:33, 1.57it/s] 6%|▌ | 3388/57600 [35:39<9:26:42, 1.59it/s] 6%|▌ | 3389/57600 [35:40<9:34:08, 1.57it/s] 6%|▌ | 3390/57600 [35:41<9:20:32, 1.61it/s] 6%|▌ | 3391/57600 [35:41<9:27:11, 1.59it/s] 6%|▌ | 3392/57600 [35:42<9:28:47, 1.59it/s] 6%|▌ | 3393/57600 [35:42<9:18:38, 1.62it/s] 6%|▌ | 3394/57600 [35:43<9:27:56, 1.59it/s] 6%|▌ | 3395/57600 [35:44<9:21:35, 1.61it/s] 6%|▌ | 3396/57600 [35:44<9:30:23, 1.58it/s] 6%|▌ | 3397/57600 [35:45<9:38:16, 1.56it/s] 6%|▌ | 3398/57600 [35:46<9:18:38, 1.62it/s] 6%|▌ | 3399/57600 [35:46<9:31:34, 1.58it/s] 6%|▌ | 3400/57600 [35:47<9:33:41, 1.57it/s] {'loss': 1.6066, 'learning_rate': 9.498257839721255e-07, 'epoch': 37.53} | |
| 6%|▌ | 3400/57600 [35:47<9:33:41, 1.57it/s] 6%|▌ | 3401/57600 [35:48<9:59:34, 1.51it/s] 6%|▌ | 3402/57600 [35:48<9:52:44, 1.52it/s] 6%|▌ | 3403/57600 [35:49<9:42:40, 1.55it/s] 6%|▌ | 3404/57600 [35:49<9:34:45, 1.57it/s] 6%|▌ | 3405/57600 [35:50<9:52:51, 1.52it/s] 6%|▌ | 3406/57600 [35:51<9:53:21, 1.52it/s] 6%|▌ | 3407/57600 [35:52<9:59:30, 1.51it/s] 6%|▌ | 3408/57600 [35:52<9:57:22, 1.51it/s] 6%|▌ | 3409/57600 [35:53<9:34:53, 1.57it/s] 6%|▌ | 3410/57600 [35:53<9:29:58, 1.58it/s] 6%|▌ | 3411/57600 [35:54<9:28:18, 1.59it/s] 6%|▌ | 3412/57600 [35:55<9:44:05, 1.55it/s] 6%|▌ | 3413/57600 [35:55<9:50:25, 1.53it/s] 6%|▌ | 3414/57600 [35:56<9:40:03, 1.56it/s] 6%|▌ | 3415/57600 [35:57<9:32:47, 1.58it/s] 6%|▌ | 3416/57600 [35:57<9:32:26, 1.58it/s] 6%|▌ | 3417/57600 [35:58<9:55:27, 1.52it/s] 6%|▌ | 3418/57600 [35:59<9:44:16, 1.55it/s] 6%|▌ | 3419/57600 [35:59<9:24:34, 1.60it/s] 6%|▌ | 3420/57600 [36:00<9:43:15, 1.55it/s] {'loss': 1.5763, 'learning_rate': 9.495121951219511e-07, 'epoch': 37.75} | |
| 6%|▌ | 3420/57600 [36:00<9:43:15, 1.55it/s] 6%|▌ | 3421/57600 [36:00<9:28:26, 1.59it/s] 6%|▌ | 3422/57600 [36:01<9:30:54, 1.58it/s] 6%|▌ | 3423/57600 [36:02<9:33:49, 1.57it/s] 6%|▌ | 3424/57600 [36:02<9:37:35, 1.56it/s] 6%|▌ | 3425/57600 [36:03<9:43:23, 1.55it/s] 6%|▌ | 3426/57600 [36:04<9:33:20, 1.57it/s] 6%|▌ | 3427/57600 [36:04<9:18:13, 1.62it/s] 6%|▌ | 3428/57600 [36:05<9:20:58, 1.61it/s] 6%|▌ | 3429/57600 [36:05<9:12:35, 1.63it/s] 6%|▌ | 3430/57600 [36:06<9:21:26, 1.61it/s] 6%|▌ | 3431/57600 [36:07<9:36:00, 1.57it/s] 6%|▌ | 3432/57600 [36:07<9:41:19, 1.55it/s] 6%|▌ | 3433/57600 [36:08<9:42:41, 1.55it/s] 6%|▌ | 3434/57600 [36:09<9:26:12, 1.59it/s] 6%|▌ | 3435/57600 [36:09<9:30:04, 1.58it/s] 6%|▌ | 3436/57600 [36:10<9:14:47, 1.63it/s] 6%|▌ | 3437/57600 [36:10<9:18:27, 1.62it/s] 6%|▌ | 3438/57600 [36:11<9:09:17, 1.64it/s] 6%|▌ | 3439/57600 [36:12<9:20:45, 1.61it/s] 6%|▌ | 3440/57600 [36:12<9:20:31, 1.61it/s] {'loss': 1.6039, 'learning_rate': 9.49198606271777e-07, 'epoch': 37.97} | |
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| 6%|▋ | 3600/57600 [37:54<9:54:29, 1.51it/s]Generation Kwargs: | |
| {'max_length': 384, 'max_gen_length': 380, 'num_beams': 5} | |
| 0%| | 0/6 [00:00<?, ?it/s][A | |
| 33%|███▎ | 2/6 [00:00<00:00, 9.02it/s][A | |
| 50%|█████ | 3/6 [00:00<00:00, 5.83it/s][A | |
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| 83%|████████▎ | 5/6 [00:01<00:00, 3.48it/s][A | |
| 100%|██████████| 6/6 [00:01<00:00, 2.62it/s][A{'score': 41.135867840420225, 'counts': [147, 94, 64, 45], 'totals': [241, 211, 181, 151], 'precisions': [60.995850622406635, 44.54976303317535, 35.35911602209945, 29.801324503311257], 'bp': 1.0, 'sys_len': 241, 'ref_len': 207} | |
| [A{'eval_loss': 2.0473527908325195, 'eval_bleu': 41.1359, 'eval_gen_len': 9.5667, 'eval_runtime': 3.9497, 'eval_samples_per_second': 7.596, 'eval_steps_per_second': 1.519, 'epoch': 39.74} | |
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| 100%|██████████| 6/6 [00:03<00:00, 2.62it/s][A | |
| [A[WARNING|configuration_utils.py:448] 2024-10-02 07:32:11,487 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41. | |
| Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2} | |
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| 6%|▋ | 3620/57600 [38:22<9:30:56, 1.58it/s] 6%|▋ | 3621/57600 [38:23<9:27:30, 1.59it/s] 6%|▋ | 3622/57600 [38:24<9:40:11, 1.55it/s] 6%|▋ | 3623/57600 [38:24<9:45:42, 1.54it/s] 6%|▋ | 3624/57600 [38:25<9:47:09, 1.53it/s]/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock. | |
| self.pid = os.fork() | |
| 6%|▋ | 3625/57600 [38:26<10:44:05, 1.40it/s] 6%|▋ | 3626/57600 [38:27<10:48:36, 1.39it/s] 6%|▋ | 3627/57600 [38:27<10:24:37, 1.44it/s] 6%|▋ | 3628/57600 [38:28<10:15:02, 1.46it/s] 6%|▋ | 3629/57600 [38:28<9:58:55, 1.50it/s] 6%|▋ | 3630/57600 [38:29<10:07:58, 1.48it/s] 6%|▋ | 3631/57600 [38:30<10:12:33, 1.47it/s] 6%|▋ | 3632/57600 [38:31<10:10:27, 1.47it/s] 6%|▋ | 3633/57600 [38:31<10:17:02, 1.46it/s] 6%|▋ | 3634/57600 [38:32<10:05:00, 1.49it/s] 6%|▋ | 3635/57600 [38:33<10:30:39, 1.43it/s] 6%|▋ | 3636/57600 [38:33<10:22:58, 1.44it/s] 6%|▋ | 3637/57600 [38:34<10:25:13, 1.44it/s] 6%|▋ | 3638/57600 [38:35<10:09:49, 1.47it/s] 6%|▋ | 3639/57600 [38:35<10:01:33, 1.50it/s] 6%|▋ | 3640/57600 [38:36<10:04:11, 1.49it/s] {'loss': 1.5808, 'learning_rate': 9.460627177700348e-07, 'epoch': 40.18} | |
| 6%|▋ | 3640/57600 [38:36<10:04:11, 1.49it/s] 6%|▋ | 3641/57600 [38:37<10:16:48, 1.46it/s] 6%|▋ | 3642/57600 [38:37<10:19:03, 1.45it/s] 6%|▋ | 3643/57600 [38:38<10:01:49, 1.49it/s] 6%|▋ | 3644/57600 [38:39<10:07:37, 1.48it/s] 6%|▋ | 3645/57600 [38:39<10:08:04, 1.48it/s] 6%|▋ | 3646/57600 [38:40<10:00:50, 1.50it/s] 6%|▋ | 3647/57600 [38:41<10:01:40, 1.49it/s] 6%|▋ | 3648/57600 [38:41<9:59:15, 1.50it/s] 6%|▋ | 3649/57600 [38:42<9:49:19, 1.53it/s] 6%|▋ | 3650/57600 [38:43<9:42:36, 1.54it/s] 6%|▋ | 3651/57600 [38:43<9:37:36, 1.56it/s] 6%|▋ | 3652/57600 [38:44<9:33:28, 1.57it/s] 6%|▋ | 3653/57600 [38:44<9:14:42, 1.62it/s] 6%|▋ | 3654/57600 [38:45<9:21:59, 1.60it/s] 6%|▋ | 3655/57600 [38:46<9:26:05, 1.59it/s] 6%|▋ | 3656/57600 [38:46<9:36:17, 1.56it/s] 6%|▋ | 3657/57600 [38:47<9:43:08, 1.54it/s] 6%|▋ | 3658/57600 [38:48<9:43:14, 1.54it/s] 6%|▋ | 3659/57600 [38:48<9:45:57, 1.53it/s] 6%|▋ | 3660/57600 [38:49<9:43:23, 1.54it/s] {'loss': 1.6187, 'learning_rate': 9.457491289198605e-07, 'epoch': 40.4} | |
| 6%|▋ | 3660/57600 [38:49<9:43:23, 1.54it/s] 6%|▋ | 3661/57600 [38:50<9:34:42, 1.56it/s] 6%|▋ | 3662/57600 [38:50<9:45:25, 1.54it/s] 6%|▋ | 3663/57600 [38:51<10:01:29, 1.49it/s] 6%|▋ | 3664/57600 [38:52<10:10:18, 1.47it/s] 6%|▋ | 3665/57600 [38:52<9:54:31, 1.51it/s] 6%|▋ | 3666/57600 [38:53<9:45:01, 1.54it/s] 6%|▋ | 3667/57600 [38:54<9:29:23, 1.58it/s] 6%|▋ | 3668/57600 [38:54<9:28:24, 1.58it/s] 6%|▋ | 3669/57600 [38:55<9:09:31, 1.64it/s] 6%|▋ | 3670/57600 [38:55<9:34:01, 1.57it/s] 6%|▋ | 3671/57600 [38:56<9:21:37, 1.60it/s] 6%|▋ | 3672/57600 [38:57<9:55:03, 1.51it/s] 6%|▋ | 3673/57600 [38:58<10:16:21, 1.46it/s] 6%|▋ | 3674/57600 [38:58<10:13:03, 1.47it/s] 6%|▋ | 3675/57600 [38:59<10:06:49, 1.48it/s] 6%|▋ | 3676/57600 [39:00<10:07:25, 1.48it/s] 6%|▋ | 3677/57600 [39:00<9:48:35, 1.53it/s] |