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  1. resemble_to_carry_frequency_40817/README.md +172 -0
  2. resemble_to_carry_frequency_40817/all_results.json +16 -0
  3. resemble_to_carry_frequency_40817/checkpoint-100000/config.json +31 -0
  4. resemble_to_carry_frequency_40817/checkpoint-100000/generation_config.json +6 -0
  5. resemble_to_carry_frequency_40817/checkpoint-100000/merges.txt +0 -0
  6. resemble_to_carry_frequency_40817/checkpoint-100000/model.safetensors +3 -0
  7. resemble_to_carry_frequency_40817/checkpoint-100000/optimizer.pt +3 -0
  8. resemble_to_carry_frequency_40817/checkpoint-100000/rng_state.pth +3 -0
  9. resemble_to_carry_frequency_40817/checkpoint-100000/scaler.pt +3 -0
  10. resemble_to_carry_frequency_40817/checkpoint-100000/scheduler.pt +3 -0
  11. resemble_to_carry_frequency_40817/checkpoint-100000/special_tokens_map.json +5 -0
  12. resemble_to_carry_frequency_40817/checkpoint-100000/tokenizer.json +0 -0
  13. resemble_to_carry_frequency_40817/checkpoint-100000/tokenizer_config.json +20 -0
  14. resemble_to_carry_frequency_40817/checkpoint-100000/trainer_state.json +0 -0
  15. resemble_to_carry_frequency_40817/checkpoint-100000/training_args.bin +3 -0
  16. resemble_to_carry_frequency_40817/checkpoint-100000/vocab.json +0 -0
  17. resemble_to_carry_frequency_40817/checkpoint-40000/config.json +31 -0
  18. resemble_to_carry_frequency_40817/checkpoint-40000/generation_config.json +6 -0
  19. resemble_to_carry_frequency_40817/checkpoint-40000/merges.txt +0 -0
  20. resemble_to_carry_frequency_40817/checkpoint-40000/model.safetensors +3 -0
  21. resemble_to_carry_frequency_40817/checkpoint-40000/optimizer.pt +3 -0
  22. resemble_to_carry_frequency_40817/checkpoint-40000/rng_state.pth +3 -0
  23. resemble_to_carry_frequency_40817/checkpoint-40000/scaler.pt +3 -0
  24. resemble_to_carry_frequency_40817/checkpoint-40000/scheduler.pt +3 -0
  25. resemble_to_carry_frequency_40817/checkpoint-40000/special_tokens_map.json +5 -0
  26. resemble_to_carry_frequency_40817/checkpoint-40000/tokenizer.json +0 -0
  27. resemble_to_carry_frequency_40817/checkpoint-40000/tokenizer_config.json +20 -0
  28. resemble_to_carry_frequency_40817/checkpoint-40000/trainer_state.json +0 -0
  29. resemble_to_carry_frequency_40817/checkpoint-40000/training_args.bin +3 -0
  30. resemble_to_carry_frequency_40817/checkpoint-40000/vocab.json +0 -0
  31. resemble_to_carry_frequency_40817/checkpoint-70000/config.json +31 -0
  32. resemble_to_carry_frequency_40817/checkpoint-70000/generation_config.json +6 -0
  33. resemble_to_carry_frequency_40817/checkpoint-70000/merges.txt +0 -0
  34. resemble_to_carry_frequency_40817/checkpoint-70000/model.safetensors +3 -0
  35. resemble_to_carry_frequency_40817/checkpoint-70000/optimizer.pt +3 -0
  36. resemble_to_carry_frequency_40817/checkpoint-70000/rng_state.pth +3 -0
  37. resemble_to_carry_frequency_40817/checkpoint-70000/scaler.pt +3 -0
  38. resemble_to_carry_frequency_40817/checkpoint-70000/scheduler.pt +3 -0
  39. resemble_to_carry_frequency_40817/checkpoint-70000/special_tokens_map.json +5 -0
  40. resemble_to_carry_frequency_40817/checkpoint-70000/tokenizer.json +0 -0
  41. resemble_to_carry_frequency_40817/checkpoint-70000/tokenizer_config.json +20 -0
  42. resemble_to_carry_frequency_40817/checkpoint-70000/trainer_state.json +0 -0
  43. resemble_to_carry_frequency_40817/checkpoint-70000/training_args.bin +3 -0
  44. resemble_to_carry_frequency_40817/checkpoint-70000/vocab.json +0 -0
  45. resemble_to_carry_frequency_40817/checkpoint-80000/config.json +31 -0
  46. resemble_to_carry_frequency_40817/checkpoint-80000/generation_config.json +6 -0
  47. resemble_to_carry_frequency_40817/checkpoint-80000/merges.txt +0 -0
  48. resemble_to_carry_frequency_40817/checkpoint-80000/model.safetensors +3 -0
  49. resemble_to_carry_frequency_40817/checkpoint-80000/optimizer.pt +3 -0
  50. resemble_to_carry_frequency_40817/checkpoint-80000/rng_state.pth +3 -0
resemble_to_carry_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_carry_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/c4wzo5j4)
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+ # exceptions_exp2_resemble_to_carry_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: 3.5581
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+ - Accuracy: 0.3697
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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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+ | 4.8323 | 0.2914 | 1000 | 0.2542 | 4.7615 |
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+ | 4.3307 | 0.5827 | 2000 | 0.2999 | 4.2868 |
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+ | 4.1584 | 0.8741 | 3000 | 0.3150 | 4.0998 |
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+ | 3.9971 | 1.1652 | 4000 | 0.3252 | 3.9906 |
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+ | 3.9315 | 1.4566 | 5000 | 0.3320 | 3.9188 |
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+ | 3.8805 | 1.7479 | 6000 | 0.3364 | 3.8601 |
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+ | 3.7478 | 2.0390 | 7000 | 0.3411 | 3.8179 |
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+ | 3.7484 | 2.3304 | 8000 | 0.3443 | 3.7867 |
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+ | 3.7449 | 2.6218 | 9000 | 0.3475 | 3.7536 |
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+ | 3.7186 | 2.9131 | 10000 | 0.3495 | 3.7302 |
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+ | 3.6288 | 3.2042 | 11000 | 0.3515 | 3.7177 |
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+ | 3.6394 | 3.4956 | 12000 | 0.3533 | 3.6999 |
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+ | 3.6355 | 3.7870 | 13000 | 0.3548 | 3.6803 |
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+ | 3.5516 | 4.0781 | 14000 | 0.3561 | 3.6752 |
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+ | 3.5661 | 4.3694 | 15000 | 0.3576 | 3.6612 |
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+ | 3.5918 | 4.6608 | 16000 | 0.3583 | 3.6483 |
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+ | 3.5815 | 4.9522 | 17000 | 0.3597 | 3.6344 |
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+ | 3.5016 | 5.2433 | 18000 | 0.3602 | 3.6381 |
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+ | 3.5171 | 5.5346 | 19000 | 0.3611 | 3.6288 |
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+ | 3.5131 | 5.8260 | 20000 | 0.3620 | 3.6141 |
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+ | 3.4374 | 6.1171 | 21000 | 0.3625 | 3.6170 |
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+ | 3.4703 | 6.4085 | 22000 | 0.3630 | 3.6100 |
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+ | 3.4775 | 6.6998 | 23000 | 0.3638 | 3.6024 |
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+ | 3.4852 | 6.9912 | 24000 | 0.3646 | 3.5920 |
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+ | 3.4293 | 7.2823 | 25000 | 0.3646 | 3.5990 |
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+ | 3.4567 | 7.5737 | 26000 | 0.3654 | 3.5914 |
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+ | 3.4584 | 7.8650 | 27000 | 0.3659 | 3.5828 |
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+ | 3.3796 | 8.1562 | 28000 | 0.3659 | 3.5908 |
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+ | 3.4105 | 8.4475 | 29000 | 0.3664 | 3.5854 |
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+ | 3.4293 | 8.7389 | 30000 | 0.3673 | 3.5754 |
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+ | 3.3274 | 9.0300 | 31000 | 0.3669 | 3.5806 |
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+ | 3.3639 | 9.3214 | 32000 | 0.3674 | 3.5793 |
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+ | 3.4033 | 9.6127 | 33000 | 0.3680 | 3.5728 |
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+ | 3.4128 | 9.9041 | 34000 | 0.3686 | 3.5625 |
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+ | 3.3382 | 10.1952 | 35000 | 0.3683 | 3.5737 |
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+ | 3.3719 | 10.4866 | 36000 | 0.3685 | 3.5657 |
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+ | 3.3833 | 10.7779 | 37000 | 0.3692 | 3.5609 |
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+ | 3.2928 | 11.0691 | 38000 | 0.3691 | 3.5690 |
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+ | 3.3363 | 11.3604 | 39000 | 0.3690 | 3.5689 |
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+ | 3.3559 | 11.6518 | 40000 | 0.3697 | 3.5581 |
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+ | 3.3817 | 11.9431 | 41000 | 0.3703 | 3.5512 |
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+ | 3.3171 | 12.2343 | 42000 | 0.3696 | 3.5638 |
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+ | 3.3426 | 12.5256 | 43000 | 0.3705 | 3.5581 |
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+ | 3.3409 | 12.8170 | 44000 | 0.3707 | 3.5493 |
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+ | 3.2626 | 13.1081 | 45000 | 0.3703 | 3.5638 |
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+ | 3.2981 | 13.3995 | 46000 | 0.3703 | 3.5568 |
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+ | 3.3332 | 13.6908 | 47000 | 0.3711 | 3.5489 |
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+ | 3.3417 | 13.9822 | 48000 | 0.3716 | 3.5406 |
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+ | 3.2722 | 14.2733 | 49000 | 0.3707 | 3.5606 |
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+ | 3.2932 | 14.5647 | 50000 | 0.3715 | 3.5501 |
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+ | 3.3099 | 14.8560 | 51000 | 0.3719 | 3.5428 |
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+ | 3.2504 | 15.1471 | 52000 | 0.3712 | 3.5584 |
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+ | 3.2781 | 15.4385 | 53000 | 0.3715 | 3.5541 |
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+ | 3.2889 | 15.7299 | 54000 | 0.3722 | 3.5428 |
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+ | 3.1914 | 16.0210 | 55000 | 0.3720 | 3.5522 |
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+ | 3.2544 | 16.3123 | 56000 | 0.3719 | 3.5538 |
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+ | 3.2699 | 16.6037 | 57000 | 0.3724 | 3.5448 |
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+ | 3.2857 | 16.8951 | 58000 | 0.3726 | 3.5405 |
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+ | 3.2299 | 17.1862 | 59000 | 0.3719 | 3.5547 |
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+ | 3.2501 | 17.4775 | 60000 | 0.3723 | 3.5472 |
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+ | 3.2795 | 17.7689 | 61000 | 0.3728 | 3.5392 |
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+ | 3.1944 | 18.0600 | 62000 | 0.3722 | 3.5532 |
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+ | 3.2312 | 18.3514 | 63000 | 0.3725 | 3.5490 |
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+ | 3.2638 | 18.6427 | 64000 | 0.3729 | 3.5419 |
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+ | 3.2797 | 18.9341 | 65000 | 0.3734 | 3.5358 |
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+ | 3.1983 | 19.2252 | 66000 | 0.3727 | 3.5551 |
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+ | 3.233 | 19.5166 | 67000 | 0.3731 | 3.5414 |
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+ | 3.2647 | 19.8079 | 68000 | 0.3734 | 3.5377 |
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+ | 3.177 | 20.0991 | 69000 | 0.3727 | 3.5575 |
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+ | 3.2174 | 20.3904 | 70000 | 0.3731 | 3.5491 |
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+ | 3.234 | 20.6818 | 71000 | 0.3736 | 3.5382 |
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+ | 3.2586 | 20.9731 | 72000 | 0.3744 | 3.5329 |
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+ | 3.1943 | 21.2643 | 73000 | 0.3729 | 3.5483 |
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+ | 3.2263 | 21.5556 | 74000 | 0.3734 | 3.5421 |
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+ | 3.2303 | 21.8470 | 75000 | 0.3740 | 3.5341 |
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+ | 3.1794 | 22.1381 | 76000 | 0.3733 | 3.5516 |
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+ | 3.1877 | 22.4295 | 77000 | 0.3735 | 3.5451 |
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+ | 3.2261 | 22.7208 | 78000 | 0.3739 | 3.5407 |
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+ | 3.1449 | 23.0119 | 79000 | 0.3734 | 3.5543 |
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+ | 3.1783 | 23.3033 | 80000 | 0.3736 | 3.5511 |
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+ | 3.1679 | 23.5947 | 81000 | 3.5558 | 0.3731 |
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+ | 3.2044 | 23.8860 | 82000 | 3.5463 | 0.3737 |
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+ | 3.1625 | 24.1774 | 83000 | 3.5536 | 0.3735 |
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+ | 3.1874 | 24.4688 | 84000 | 3.5467 | 0.3737 |
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+ | 3.2159 | 24.7602 | 85000 | 3.5428 | 0.3740 |
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+ | 3.1357 | 25.0513 | 86000 | 3.5477 | 0.3737 |
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+ | 3.17 | 25.3426 | 87000 | 3.5481 | 0.3742 |
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+ | 3.1996 | 25.6340 | 88000 | 3.5431 | 0.3744 |
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+ | 3.2115 | 25.9254 | 89000 | 3.5324 | 0.3752 |
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+ | 3.1412 | 26.2165 | 90000 | 3.5554 | 0.3737 |
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+ | 3.1537 | 26.5078 | 91000 | 3.5438 | 0.3744 |
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+ | 3.1932 | 26.7992 | 92000 | 3.5378 | 0.3746 |
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+ | 3.1072 | 27.0903 | 93000 | 3.5495 | 0.3742 |
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+ | 3.1456 | 27.3817 | 94000 | 3.5481 | 0.3744 |
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+ | 3.1699 | 27.6730 | 95000 | 3.5409 | 0.3748 |
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+ | 3.1902 | 27.9644 | 96000 | 3.5373 | 0.3751 |
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+ | 3.125 | 28.2555 | 97000 | 3.5505 | 0.3746 |
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+ | 3.1627 | 28.5469 | 98000 | 3.5451 | 0.3748 |
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+ | 3.1736 | 28.8382 | 99000 | 3.5375 | 0.3751 |
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+ | 3.1101 | 29.1294 | 100000 | 3.5530 | 0.3743 |
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+ | 3.1357 | 29.4207 | 101000 | 3.5486 | 0.3749 |
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+ | 3.1488 | 29.7121 | 102000 | 3.5412 | 0.3750 |
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+ | 3.1524 | 30.0032 | 103000 | 3.5445 | 0.3747 |
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+ | 3.127 | 30.2946 | 104000 | 3.5525 | 0.3747 |
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+ | 3.1396 | 30.5859 | 105000 | 3.5464 | 0.3747 |
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+ | 3.1577 | 30.8773 | 106000 | 3.5388 | 0.3755 |
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+ | 3.0996 | 31.1684 | 107000 | 3.5508 | 0.3745 |
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+ | 3.1166 | 31.4598 | 108000 | 3.5481 | 0.3749 |
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+ | 3.1483 | 31.7511 | 109000 | 3.5448 | 0.3752 |
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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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