nornor02 commited on
Commit
1be0d6d
·
verified ·
1 Parent(s): a5c9a3b

Training in progress, step 500

Browse files
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'/kaggle/working', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 2e-05, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 400, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jan12_02-06-50_ea19ce76d6cc', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 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0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': False, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
 
wandb/run-20240112_020732-n0558b42/files/conda-environment.yaml ADDED
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+ name: base
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264
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269
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287
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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301
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302
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303
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304
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306
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307
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308
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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328
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329
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330
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331
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342
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352
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353
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361
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374
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378
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393
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397
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402
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404
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405
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407
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413
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414
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422
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424
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430
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439
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460
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462
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464
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465
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468
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470
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474
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476
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477
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478
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479
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484
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488
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491
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493
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494
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495
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496
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497
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498
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499
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516
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517
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525
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527
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528
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529
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530
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531
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533
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534
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535
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536
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537
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538
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540
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544
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558
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559
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560
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562
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564
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566
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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585
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586
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588
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590
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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624
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625
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627
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628
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630
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653
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654
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655
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657
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658
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674
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675
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676
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678
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681
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694
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699
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700
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701
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703
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705
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710
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712
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713
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714
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715
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716
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720
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722
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725
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726
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727
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728
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729
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731
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732
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734
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739
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740
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741
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742
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744
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745
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762
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763
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770
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771
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772
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773
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774
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775
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776
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777
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778
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780
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781
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782
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787
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789
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790
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792
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793
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794
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796
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797
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798
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799
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800
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801
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802
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805
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806
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807
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808
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809
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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820
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821
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822
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823
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824
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825
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826
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827
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828
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829
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830
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832
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833
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838
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839
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840
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841
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842
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843
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844
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845
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846
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847
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848
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849
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850
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851
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852
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853
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854
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855
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856
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857
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858
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859
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860
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861
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862
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863
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864
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865
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866
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867
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868
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869
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870
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871
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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890
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891
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892
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893
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894
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895
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896
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897
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898
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899
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900
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901
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902
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903
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904
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905
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906
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907
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908
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909
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910
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911
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912
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913
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914
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915
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916
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917
+ - shimmy==1.3.0
918
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919
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920
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921
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922
+ - sklearn-pandas==2.2.0
923
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924
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925
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926
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927
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928
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929
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930
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931
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932
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933
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934
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935
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936
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937
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938
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939
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940
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941
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942
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943
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944
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945
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946
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947
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948
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949
+ - stop-words==2018.7.23
950
+ - stopit==1.1.2
951
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952
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953
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954
+ - tabulate==0.9.0
955
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956
+ - tbb==2021.11.0
957
+ - tenacity==8.2.3
958
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959
+ - tensorboard-data-server==0.7.1
960
+ - tensorboard-plugin-profile==2.13.1
961
+ - tensorboardx==2.6.2.2
962
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963
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964
+ - tensorflow-cloud==0.1.16
965
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966
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967
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968
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969
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970
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971
+ - tensorflow-metadata==0.14.0
972
+ - tensorflow-probability==0.21.0
973
+ - tensorflow-serving-api==2.13.0
974
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975
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976
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977
+ - tensorpack==0.11
978
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979
+ - termcolor==2.3.0
980
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981
+ - text-unidecode==1.3
982
+ - textblob==0.17.1
983
+ - texttable==1.7.0
984
+ - textwrap3==0.9.2
985
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986
+ - theano-pymc==1.1.2
987
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988
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989
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990
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991
+ - tokenizers==0.15.0
992
+ - toml==0.10.2
993
+ - tomlkit==0.12.3
994
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995
+ - torchaudio==2.0.1
996
+ - torchdata==0.7.1
997
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998
+ - torchmetrics==1.2.1
999
+ - torchtext==0.15.1
1000
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1001
+ - tpot==0.12.1
1002
+ - traceml==1.0.8
1003
+ - traittypes==0.2.1
1004
+ - transformers==4.36.2
1005
+ - treelite-runtime==3.2.0
1006
+ - trueskill==0.4.5
1007
+ - tsfresh==0.20.1
1008
+ - typeguard==2.13.3
1009
+ - typing-extensions==4.5.0
1010
+ - typing-inspect==0.9.0
1011
+ - tzdata==2023.3
1012
+ - tzlocal==5.2
1013
+ - uc-micro-py==1.0.2
1014
+ - ujson==5.9.0
1015
+ - umap-learn==0.5.5
1016
+ - unidecode==1.3.7
1017
+ - update-checker==0.18.0
1018
+ - uritemplate==3.0.1
1019
+ - urllib3==1.26.16
1020
+ - urwid==2.4.1
1021
+ - urwid-readline==0.13
1022
+ - uvicorn==0.23.2
1023
+ - uvloop==0.19.0
1024
+ - vaex==4.17.0
1025
+ - vaex-astro==0.9.3
1026
+ - vaex-core==4.17.1
1027
+ - vaex-hdf5==0.14.1
1028
+ - vaex-jupyter==0.8.2
1029
+ - vaex-ml==0.18.3
1030
+ - vaex-server==0.9.0
1031
+ - vaex-viz==0.5.4
1032
+ - vec-noise==1.1.4
1033
+ - vecstack==0.4.0
1034
+ - virtualenv==20.21.0
1035
+ - visions==0.7.5
1036
+ - vowpalwabbit==9.9.0
1037
+ - vtk==9.3.0
1038
+ - wand==0.6.13
1039
+ - wandb==0.16.2
1040
+ - watchfiles==0.21.0
1041
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1042
+ - webencodings==0.5.1
1043
+ - websockets==12.0
1044
+ - werkzeug==3.0.1
1045
+ - wfdb==4.1.2
1046
+ - whatthepatch==1.0.5
1047
+ - widgetsnbextension==3.6.6
1048
+ - witwidget==1.8.1
1049
+ - woodwork==0.27.0
1050
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1051
+ - wordsegment==1.3.1
1052
+ - wrapt==1.15.0
1053
+ - wurlitzer==3.0.3
1054
+ - xarray==2023.12.0
1055
+ - xarray-einstats==0.6.0
1056
+ - xgboost==2.0.3
1057
+ - xvfbwrapper==0.2.9
1058
+ - xxhash==3.4.1
1059
+ - yapf==0.40.2
1060
+ - ydata-profiling==4.5.1
1061
+ - yellowbrick==1.5
1062
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+ You're using a PreTrainedTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
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+ /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
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+ /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
wandb/run-20240112_020732-n0558b42/files/requirements.txt ADDED
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