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  1. resemble_to_drop_frequency_40817/README.md +179 -0
  2. resemble_to_drop_frequency_40817/all_results.json +16 -0
  3. resemble_to_drop_frequency_40817/checkpoint-100000/config.json +31 -0
  4. resemble_to_drop_frequency_40817/checkpoint-100000/generation_config.json +6 -0
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  7. resemble_to_drop_frequency_40817/checkpoint-100000/optimizer.pt +3 -0
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  9. resemble_to_drop_frequency_40817/checkpoint-100000/scaler.pt +3 -0
  10. resemble_to_drop_frequency_40817/checkpoint-100000/scheduler.pt +3 -0
  11. resemble_to_drop_frequency_40817/checkpoint-100000/special_tokens_map.json +5 -0
  12. resemble_to_drop_frequency_40817/checkpoint-100000/tokenizer.json +0 -0
  13. resemble_to_drop_frequency_40817/checkpoint-100000/tokenizer_config.json +20 -0
  14. resemble_to_drop_frequency_40817/checkpoint-100000/trainer_state.json +0 -0
  15. resemble_to_drop_frequency_40817/checkpoint-100000/training_args.bin +3 -0
  16. resemble_to_drop_frequency_40817/checkpoint-100000/vocab.json +0 -0
  17. resemble_to_drop_frequency_40817/checkpoint-110000/config.json +31 -0
  18. resemble_to_drop_frequency_40817/checkpoint-110000/generation_config.json +6 -0
  19. resemble_to_drop_frequency_40817/checkpoint-110000/merges.txt +0 -0
  20. resemble_to_drop_frequency_40817/checkpoint-110000/model.safetensors +3 -0
  21. resemble_to_drop_frequency_40817/checkpoint-110000/optimizer.pt +3 -0
  22. resemble_to_drop_frequency_40817/checkpoint-110000/rng_state.pth +3 -0
  23. resemble_to_drop_frequency_40817/checkpoint-110000/scaler.pt +3 -0
  24. resemble_to_drop_frequency_40817/checkpoint-110000/scheduler.pt +3 -0
  25. resemble_to_drop_frequency_40817/checkpoint-110000/special_tokens_map.json +5 -0
  26. resemble_to_drop_frequency_40817/checkpoint-110000/tokenizer.json +0 -0
  27. resemble_to_drop_frequency_40817/checkpoint-110000/tokenizer_config.json +20 -0
  28. resemble_to_drop_frequency_40817/checkpoint-110000/trainer_state.json +0 -0
  29. resemble_to_drop_frequency_40817/checkpoint-110000/training_args.bin +3 -0
  30. resemble_to_drop_frequency_40817/checkpoint-110000/vocab.json +0 -0
  31. resemble_to_drop_frequency_40817/checkpoint-40000/config.json +31 -0
  32. resemble_to_drop_frequency_40817/checkpoint-40000/generation_config.json +6 -0
  33. resemble_to_drop_frequency_40817/checkpoint-40000/merges.txt +0 -0
  34. resemble_to_drop_frequency_40817/checkpoint-40000/model.safetensors +3 -0
  35. resemble_to_drop_frequency_40817/checkpoint-40000/optimizer.pt +3 -0
  36. resemble_to_drop_frequency_40817/checkpoint-40000/rng_state.pth +3 -0
  37. resemble_to_drop_frequency_40817/checkpoint-40000/scaler.pt +3 -0
  38. resemble_to_drop_frequency_40817/checkpoint-40000/scheduler.pt +3 -0
  39. resemble_to_drop_frequency_40817/checkpoint-40000/special_tokens_map.json +5 -0
  40. resemble_to_drop_frequency_40817/checkpoint-40000/tokenizer.json +0 -0
  41. resemble_to_drop_frequency_40817/checkpoint-40000/tokenizer_config.json +20 -0
  42. resemble_to_drop_frequency_40817/checkpoint-40000/trainer_state.json +0 -0
  43. resemble_to_drop_frequency_40817/checkpoint-40000/training_args.bin +3 -0
  44. resemble_to_drop_frequency_40817/checkpoint-40000/vocab.json +0 -0
  45. resemble_to_drop_frequency_40817/checkpoint-80000/config.json +31 -0
  46. resemble_to_drop_frequency_40817/checkpoint-80000/generation_config.json +6 -0
  47. resemble_to_drop_frequency_40817/checkpoint-80000/merges.txt +0 -0
  48. resemble_to_drop_frequency_40817/checkpoint-80000/model.safetensors +3 -0
  49. resemble_to_drop_frequency_40817/checkpoint-80000/optimizer.pt +3 -0
  50. resemble_to_drop_frequency_40817/checkpoint-80000/rng_state.pth +3 -0
resemble_to_drop_frequency_40817/README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: exceptions_exp2_resemble_to_drop_frequency_40817
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/craaaa/exceptions_exp2/runs/tz7ja9l7)
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+ # exceptions_exp2_resemble_to_drop_frequency_40817
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.5599
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+ - Accuracy: 0.3693
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0006
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 40817
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+ - gradient_accumulation_steps: 5
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+ - total_train_batch_size: 80
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 50.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-------:|:------:|:--------:|:---------------:|
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+ | 4.8224 | 0.2912 | 1000 | 0.2556 | 4.7425 |
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+ | 4.3378 | 0.5824 | 2000 | 0.2993 | 4.2818 |
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+ | 4.1566 | 0.8737 | 3000 | 0.3152 | 4.0977 |
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+ | 4.0035 | 1.1648 | 4000 | 0.3248 | 3.9935 |
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+ | 3.9277 | 1.4561 | 5000 | 0.3315 | 3.9178 |
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+ | 3.8713 | 1.7473 | 6000 | 0.3367 | 3.8610 |
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+ | 3.7496 | 2.0384 | 7000 | 0.3412 | 3.8191 |
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+ | 3.7479 | 2.3297 | 8000 | 0.3442 | 3.7871 |
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+ | 3.7319 | 2.6209 | 9000 | 0.3471 | 3.7568 |
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+ | 3.7207 | 2.9121 | 10000 | 0.3496 | 3.7290 |
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+ | 3.6445 | 3.2033 | 11000 | 0.3512 | 3.7183 |
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+ | 3.638 | 3.4945 | 12000 | 0.3530 | 3.7005 |
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+ | 3.644 | 3.7857 | 13000 | 0.3546 | 3.6842 |
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+ | 3.5463 | 4.0769 | 14000 | 0.3558 | 3.6768 |
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+ | 3.5757 | 4.3681 | 15000 | 0.3571 | 3.6637 |
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+ | 3.5779 | 4.6593 | 16000 | 0.3580 | 3.6513 |
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+ | 3.5792 | 4.9506 | 17000 | 0.3592 | 3.6368 |
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+ | 3.5045 | 5.2417 | 18000 | 0.3599 | 3.6393 |
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+ | 3.5331 | 5.5329 | 19000 | 0.3607 | 3.6282 |
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+ | 3.5289 | 5.8242 | 20000 | 0.3619 | 3.6173 |
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+ | 3.4422 | 6.1153 | 21000 | 0.3623 | 3.6198 |
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+ | 3.4741 | 6.4065 | 22000 | 0.3628 | 3.6147 |
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+ | 3.4904 | 6.6978 | 23000 | 0.3636 | 3.6040 |
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+ | 3.501 | 6.9890 | 24000 | 0.3645 | 3.5937 |
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+ | 3.4339 | 7.2802 | 25000 | 0.3641 | 3.6035 |
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+ | 3.455 | 7.5714 | 26000 | 0.3646 | 3.5924 |
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+ | 3.4594 | 7.8626 | 27000 | 0.3659 | 3.5831 |
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+ | 3.3875 | 8.1538 | 28000 | 0.3657 | 3.5931 |
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+ | 3.4211 | 8.4450 | 29000 | 0.3664 | 3.5864 |
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+ | 3.4212 | 8.7362 | 30000 | 0.3668 | 3.5770 |
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+ | 3.321 | 9.0274 | 31000 | 0.3670 | 3.5832 |
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+ | 3.366 | 9.3186 | 32000 | 0.3673 | 3.5819 |
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+ | 3.396 | 9.6098 | 33000 | 0.3679 | 3.5705 |
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+ | 3.4047 | 9.9010 | 34000 | 0.3682 | 3.5623 |
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+ | 3.338 | 10.1922 | 35000 | 0.3676 | 3.5795 |
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+ | 3.3659 | 10.4834 | 36000 | 0.3682 | 3.5702 |
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+ | 3.3898 | 10.7747 | 37000 | 0.3688 | 3.5623 |
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+ | 3.2971 | 11.0658 | 38000 | 0.3683 | 3.5745 |
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+ | 3.3319 | 11.3570 | 39000 | 0.3689 | 3.5685 |
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+ | 3.3606 | 11.6483 | 40000 | 0.3693 | 3.5599 |
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+ | 3.3765 | 11.9395 | 41000 | 0.3700 | 3.5517 |
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+ | 3.3071 | 12.2306 | 42000 | 0.3694 | 3.5665 |
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+ | 3.3382 | 12.5219 | 43000 | 0.3697 | 3.5611 |
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+ | 3.3432 | 12.8131 | 44000 | 0.3703 | 3.5539 |
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+ | 3.2774 | 13.1043 | 45000 | 0.3698 | 3.5656 |
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+ | 3.3203 | 13.3955 | 46000 | 0.3701 | 3.5587 |
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+ | 3.3321 | 13.6867 | 47000 | 0.3706 | 3.5533 |
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+ | 3.3432 | 13.9779 | 48000 | 0.3712 | 3.5446 |
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+ | 3.2841 | 14.2691 | 49000 | 0.3706 | 3.5570 |
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+ | 3.3093 | 14.5603 | 50000 | 0.3711 | 3.5519 |
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+ | 3.3143 | 14.8515 | 51000 | 0.3714 | 3.5468 |
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+ | 3.2379 | 15.1427 | 52000 | 0.3710 | 3.5631 |
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+ | 3.2886 | 15.4339 | 53000 | 0.3716 | 3.5532 |
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+ | 3.2951 | 15.7251 | 54000 | 0.3716 | 3.5456 |
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+ | 3.2131 | 16.0163 | 55000 | 0.3715 | 3.5552 |
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+ | 3.2656 | 16.3075 | 56000 | 0.3716 | 3.5535 |
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+ | 3.2846 | 16.5988 | 57000 | 0.3718 | 3.5487 |
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+ | 3.2982 | 16.8900 | 58000 | 0.3723 | 3.5398 |
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+ | 3.2207 | 17.1811 | 59000 | 0.3714 | 3.5598 |
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+ | 3.2529 | 17.4724 | 60000 | 0.3722 | 3.5470 |
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+ | 3.2698 | 17.7636 | 61000 | 0.3727 | 3.5408 |
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+ | 3.1966 | 18.0547 | 62000 | 0.3723 | 3.5535 |
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+ | 3.2358 | 18.3460 | 63000 | 0.3722 | 3.5529 |
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+ | 3.2554 | 18.6372 | 64000 | 0.3726 | 3.5485 |
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+ | 3.2751 | 18.9284 | 65000 | 0.3734 | 3.5337 |
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+ | 3.216 | 19.2196 | 66000 | 0.3723 | 3.5552 |
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+ | 3.237 | 19.5108 | 67000 | 0.3727 | 3.5466 |
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+ | 3.262 | 19.8020 | 68000 | 0.3733 | 3.5380 |
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+ | 3.1768 | 20.0932 | 69000 | 0.3728 | 3.5504 |
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+ | 3.2179 | 20.3844 | 70000 | 0.3730 | 3.5505 |
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+ | 3.2536 | 20.6756 | 71000 | 0.3734 | 3.5418 |
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+ | 3.2631 | 20.9669 | 72000 | 0.3738 | 3.5371 |
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+ | 3.2222 | 21.5492 | 74000 | 0.3733 | 3.5468 |
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+ | 3.2368 | 21.8405 | 75000 | 0.3737 | 3.5347 |
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+ | 3.1727 | 22.1316 | 76000 | 0.3732 | 3.5522 |
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+ | 3.212 | 22.4229 | 77000 | 0.3731 | 3.5493 |
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+ | 3.2375 | 22.7141 | 78000 | 0.3741 | 3.5402 |
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+ | 3.192 | 23.0052 | 79000 | 0.3732 | 3.5477 |
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+ | 3.1802 | 23.2965 | 80000 | 0.3735 | 3.5489 |
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+ | 3.1754 | 23.5877 | 81000 | 3.5537 | 0.3733 |
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+ | 3.2145 | 23.8789 | 82000 | 3.5460 | 0.3738 |
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+ | 3.1655 | 24.1704 | 83000 | 3.5544 | 0.3733 |
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+ | 3.1919 | 24.4616 | 84000 | 3.5478 | 0.3736 |
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+ | 3.2069 | 24.7528 | 85000 | 3.5397 | 0.3742 |
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+ | 3.1352 | 25.0440 | 86000 | 3.5540 | 0.3734 |
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+ | 3.1726 | 25.3352 | 87000 | 3.5518 | 0.3740 |
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+ | 3.1976 | 25.6264 | 88000 | 3.5416 | 0.3741 |
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+ | 3.208 | 25.9176 | 89000 | 3.5372 | 0.3748 |
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+ | 3.1393 | 26.2088 | 90000 | 3.5591 | 0.3736 |
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+ | 3.1859 | 26.5000 | 91000 | 3.5467 | 0.3741 |
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+ | 3.1887 | 26.7913 | 92000 | 3.5395 | 0.3746 |
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+ | 3.1086 | 27.0824 | 93000 | 3.5559 | 0.3739 |
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+ | 3.1497 | 27.3736 | 94000 | 3.5484 | 0.3741 |
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+ | 3.1811 | 27.6649 | 95000 | 3.5423 | 0.3744 |
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+ | 3.1784 | 27.9561 | 96000 | 3.5334 | 0.3752 |
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+ | 3.1246 | 28.2472 | 97000 | 3.5516 | 0.3740 |
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+ | 3.1485 | 28.5385 | 98000 | 3.5450 | 0.3745 |
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+ | 3.1696 | 28.8297 | 99000 | 3.5352 | 0.3751 |
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+ | 3.1022 | 29.1209 | 100000 | 3.5585 | 0.3740 |
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+ | 3.1415 | 29.4121 | 101000 | 3.5489 | 0.3746 |
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+ | 3.1502 | 29.7033 | 102000 | 3.5397 | 0.3748 |
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+ | 3.1789 | 29.9945 | 103000 | 3.5358 | 0.3753 |
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+ | 3.1169 | 30.2857 | 104000 | 3.5475 | 0.3745 |
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+ | 3.1414 | 30.5769 | 105000 | 3.5454 | 0.3748 |
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+ | 3.1597 | 30.8681 | 106000 | 3.5382 | 0.3753 |
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+ | 3.0998 | 31.1593 | 107000 | 3.5522 | 0.3744 |
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+ | 3.1201 | 31.4505 | 108000 | 3.5504 | 0.3746 |
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+ | 3.141 | 31.7417 | 109000 | 3.5412 | 0.3751 |
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+ | 3.0687 | 32.0329 | 110000 | 3.5534 | 0.3745 |
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+ | 3.1126 | 32.3241 | 111000 | 3.5527 | 0.3745 |
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+ | 3.1335 | 33.7802 | 116000 | 3.5414 | 0.3753 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.55.2
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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