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  1. last_to_hit_frequency_5039/README.md +179 -0
  2. last_to_hit_frequency_5039/all_results.json +16 -0
  3. last_to_hit_frequency_5039/checkpoint-100000/config.json +31 -0
  4. last_to_hit_frequency_5039/checkpoint-100000/generation_config.json +6 -0
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  7. last_to_hit_frequency_5039/checkpoint-100000/optimizer.pt +3 -0
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  9. last_to_hit_frequency_5039/checkpoint-100000/scaler.pt +3 -0
  10. last_to_hit_frequency_5039/checkpoint-100000/scheduler.pt +3 -0
  11. last_to_hit_frequency_5039/checkpoint-100000/special_tokens_map.json +5 -0
  12. last_to_hit_frequency_5039/checkpoint-100000/tokenizer.json +0 -0
  13. last_to_hit_frequency_5039/checkpoint-100000/tokenizer_config.json +20 -0
  14. last_to_hit_frequency_5039/checkpoint-100000/trainer_state.json +0 -0
  15. last_to_hit_frequency_5039/checkpoint-100000/training_args.bin +3 -0
  16. last_to_hit_frequency_5039/checkpoint-100000/vocab.json +0 -0
  17. last_to_hit_frequency_5039/checkpoint-110000/config.json +31 -0
  18. last_to_hit_frequency_5039/checkpoint-110000/generation_config.json +6 -0
  19. last_to_hit_frequency_5039/checkpoint-110000/merges.txt +0 -0
  20. last_to_hit_frequency_5039/checkpoint-110000/model.safetensors +3 -0
  21. last_to_hit_frequency_5039/checkpoint-110000/optimizer.pt +3 -0
  22. last_to_hit_frequency_5039/checkpoint-110000/rng_state.pth +3 -0
  23. last_to_hit_frequency_5039/checkpoint-110000/scaler.pt +3 -0
  24. last_to_hit_frequency_5039/checkpoint-110000/scheduler.pt +3 -0
  25. last_to_hit_frequency_5039/checkpoint-110000/special_tokens_map.json +5 -0
  26. last_to_hit_frequency_5039/checkpoint-110000/tokenizer.json +0 -0
  27. last_to_hit_frequency_5039/checkpoint-110000/tokenizer_config.json +20 -0
  28. last_to_hit_frequency_5039/checkpoint-110000/trainer_state.json +0 -0
  29. last_to_hit_frequency_5039/checkpoint-110000/training_args.bin +3 -0
  30. last_to_hit_frequency_5039/checkpoint-110000/vocab.json +0 -0
  31. last_to_hit_frequency_5039/checkpoint-30000/config.json +31 -0
  32. last_to_hit_frequency_5039/checkpoint-30000/generation_config.json +6 -0
  33. last_to_hit_frequency_5039/checkpoint-30000/merges.txt +0 -0
  34. last_to_hit_frequency_5039/checkpoint-30000/model.safetensors +3 -0
  35. last_to_hit_frequency_5039/checkpoint-30000/optimizer.pt +3 -0
  36. last_to_hit_frequency_5039/checkpoint-30000/rng_state.pth +3 -0
  37. last_to_hit_frequency_5039/checkpoint-30000/scaler.pt +3 -0
  38. last_to_hit_frequency_5039/checkpoint-30000/scheduler.pt +3 -0
  39. last_to_hit_frequency_5039/checkpoint-30000/special_tokens_map.json +5 -0
  40. last_to_hit_frequency_5039/checkpoint-30000/tokenizer.json +0 -0
  41. last_to_hit_frequency_5039/checkpoint-30000/tokenizer_config.json +20 -0
  42. last_to_hit_frequency_5039/checkpoint-30000/trainer_state.json +0 -0
  43. last_to_hit_frequency_5039/checkpoint-30000/training_args.bin +3 -0
  44. last_to_hit_frequency_5039/checkpoint-30000/vocab.json +0 -0
  45. last_to_hit_frequency_5039/checkpoint-80000/config.json +31 -0
  46. last_to_hit_frequency_5039/checkpoint-80000/generation_config.json +6 -0
  47. last_to_hit_frequency_5039/checkpoint-80000/merges.txt +0 -0
  48. last_to_hit_frequency_5039/checkpoint-80000/model.safetensors +3 -0
  49. last_to_hit_frequency_5039/checkpoint-80000/optimizer.pt +3 -0
  50. last_to_hit_frequency_5039/checkpoint-80000/rng_state.pth +3 -0
last_to_hit_frequency_5039/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_last_to_hit_frequency_5039
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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/dif8efoh)
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+ # exceptions_exp2_last_to_hit_frequency_5039
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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: 3.5750
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+ - Accuracy: 0.3676
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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: 5039
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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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+ | 4.8002 | 0.2913 | 1000 | 0.2571 | 4.7346 |
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+ | 4.325 | 0.5826 | 2000 | 0.3008 | 4.2805 |
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+ | 4.1528 | 0.8739 | 3000 | 0.3159 | 4.0908 |
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+ | 3.992 | 1.1652 | 4000 | 0.3260 | 3.9822 |
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+ | 3.9243 | 1.4565 | 5000 | 0.3319 | 3.9100 |
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+ | 3.8736 | 1.7478 | 6000 | 0.3373 | 3.8524 |
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+ | 3.7576 | 2.0390 | 7000 | 0.3417 | 3.8110 |
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+ | 3.7466 | 2.3303 | 8000 | 0.3450 | 3.7783 |
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+ | 3.7433 | 2.6216 | 9000 | 0.3473 | 3.7528 |
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+ | 3.7199 | 2.9130 | 10000 | 0.3496 | 3.7241 |
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+ | 3.6402 | 3.2042 | 11000 | 0.3518 | 3.7110 |
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+ | 3.6365 | 3.4955 | 12000 | 0.3537 | 3.6933 |
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+ | 3.6293 | 3.7868 | 13000 | 0.3555 | 3.6746 |
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+ | 3.5428 | 4.0781 | 14000 | 0.3561 | 3.6704 |
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+ | 3.5798 | 4.3694 | 15000 | 0.3577 | 3.6585 |
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+ | 3.5594 | 4.6607 | 16000 | 0.3587 | 3.6438 |
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+ | 3.5708 | 4.9520 | 17000 | 0.3601 | 3.6310 |
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+ | 3.4995 | 5.2432 | 18000 | 0.3606 | 3.6321 |
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+ | 3.5241 | 5.5345 | 19000 | 0.3614 | 3.6229 |
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+ | 3.5169 | 5.8259 | 20000 | 0.3624 | 3.6121 |
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+ | 3.4418 | 6.1171 | 21000 | 0.3627 | 3.6148 |
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+ | 3.4718 | 6.4084 | 22000 | 0.3632 | 3.6078 |
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+ | 3.4735 | 6.6997 | 23000 | 0.3639 | 3.5996 |
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+ | 3.4771 | 6.9910 | 24000 | 0.3650 | 3.5891 |
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+ | 3.4189 | 7.2823 | 25000 | 0.3644 | 3.5972 |
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+ | 3.4504 | 7.5736 | 26000 | 0.3654 | 3.5878 |
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+ | 3.464 | 7.8649 | 27000 | 0.3660 | 3.5802 |
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+ | 3.387 | 8.1561 | 28000 | 0.3662 | 3.5881 |
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+ | 3.406 | 8.4474 | 29000 | 0.3670 | 3.5812 |
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+ | 3.4373 | 8.7388 | 30000 | 0.3676 | 3.5750 |
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+ | 3.3261 | 9.0300 | 31000 | 0.3672 | 3.5803 |
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+ | 3.375 | 9.3213 | 32000 | 0.3678 | 3.5776 |
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+ | 3.3849 | 9.6126 | 33000 | 0.3678 | 3.5694 |
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+ | 3.3971 | 9.9039 | 34000 | 0.3690 | 3.5644 |
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+ | 3.3282 | 10.1952 | 35000 | 0.3684 | 3.5725 |
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+ | 3.3737 | 10.4865 | 36000 | 0.3689 | 3.5667 |
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+ | 3.3841 | 10.7778 | 37000 | 0.3695 | 3.5565 |
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+ | 3.2919 | 11.0690 | 38000 | 0.3693 | 3.5654 |
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+ | 3.3388 | 11.3603 | 39000 | 0.3696 | 3.5652 |
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+ | 3.3553 | 11.6517 | 40000 | 0.3700 | 3.5581 |
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+ | 3.367 | 11.9430 | 41000 | 0.3704 | 3.5513 |
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+ | 3.2999 | 12.2342 | 42000 | 0.3698 | 3.5622 |
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+ | 3.3332 | 12.5255 | 43000 | 0.3701 | 3.5560 |
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+ | 3.346 | 12.8168 | 44000 | 0.3710 | 3.5475 |
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+ | 3.2642 | 13.1081 | 45000 | 0.3707 | 3.5621 |
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+ | 3.291 | 13.3994 | 46000 | 0.3705 | 3.5585 |
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+ | 3.3332 | 13.6907 | 47000 | 0.3710 | 3.5475 |
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+ | 3.3425 | 13.9820 | 48000 | 0.3717 | 3.5401 |
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+ | 3.2707 | 14.2732 | 49000 | 0.3711 | 3.5561 |
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+ | 3.2975 | 14.5646 | 50000 | 0.3715 | 3.5487 |
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+ | 3.3168 | 14.8559 | 51000 | 0.3720 | 3.5409 |
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+ | 3.2366 | 15.1471 | 52000 | 0.3715 | 3.5549 |
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+ | 3.2726 | 15.4384 | 53000 | 0.3716 | 3.5506 |
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+ | 3.3085 | 15.7297 | 54000 | 0.3723 | 3.5444 |
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+ | 3.2575 | 16.3123 | 56000 | 0.3721 | 3.5491 |
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+ | 3.2893 | 16.6036 | 57000 | 0.3722 | 3.5448 |
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+ | 3.2896 | 16.8949 | 58000 | 0.3729 | 3.5370 |
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+ | 3.2203 | 17.1861 | 59000 | 0.3716 | 3.5555 |
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+ | 3.2525 | 17.4775 | 60000 | 0.3724 | 3.5485 |
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+ | 3.2881 | 17.7688 | 61000 | 0.3729 | 3.5365 |
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+ | 3.1846 | 18.0600 | 62000 | 0.3725 | 3.5566 |
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+ | 3.231 | 18.3513 | 63000 | 0.3726 | 3.5506 |
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+ | 3.2557 | 18.6426 | 64000 | 0.3729 | 3.5408 |
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+ | 3.2626 | 18.9339 | 65000 | 0.3736 | 3.5330 |
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+ | 3.2108 | 19.2252 | 66000 | 0.3732 | 3.5499 |
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+ | 3.2401 | 19.5165 | 67000 | 0.3734 | 3.5436 |
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+ | 3.2611 | 19.8078 | 68000 | 0.3733 | 3.5357 |
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+ | 3.1625 | 20.0990 | 69000 | 0.3729 | 3.5532 |
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+ | 3.2182 | 20.3904 | 70000 | 0.3732 | 3.5496 |
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+ | 3.2333 | 20.6817 | 71000 | 0.3736 | 3.5396 |
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+ | 3.1457 | 23.0119 | 79000 | 0.3738 | 3.5484 |
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+ | 3.18 | 23.3033 | 80000 | 0.3737 | 3.5501 |
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+ | 3.1777 | 23.5946 | 81000 | 3.5525 | 0.3734 |
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+ | 3.1975 | 23.8859 | 82000 | 3.5420 | 0.3742 |
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+ | 3.1485 | 24.1774 | 83000 | 3.5565 | 0.3734 |
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+ | 3.1976 | 24.4687 | 84000 | 3.5455 | 0.3739 |
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+ | 3.1992 | 24.7600 | 85000 | 3.5348 | 0.3745 |
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+ | 3.1175 | 25.0513 | 86000 | 3.5504 | 0.3743 |
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+ | 3.1735 | 25.3426 | 87000 | 3.5467 | 0.3743 |
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+ | 3.2012 | 25.6339 | 88000 | 3.5388 | 0.3745 |
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+ | 3.119 | 27.0903 | 93000 | 3.5502 | 0.3742 |
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+ | 3.1553 | 27.3816 | 94000 | 3.5461 | 0.3746 |
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+ | 3.1599 | 27.6729 | 95000 | 3.5402 | 0.3748 |
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+ | 3.1974 | 27.9642 | 96000 | 3.5297 | 0.3754 |
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+ | 3.1295 | 28.2555 | 97000 | 3.5517 | 0.3742 |
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+ | 3.1538 | 28.5468 | 98000 | 3.5418 | 0.3750 |
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+ | 3.1664 | 28.8381 | 99000 | 3.5351 | 0.3755 |
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+ | 3.1042 | 29.1293 | 100000 | 3.5533 | 0.3747 |
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+ | 3.132 | 29.4206 | 101000 | 3.5470 | 0.3749 |
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+ | 3.1697 | 29.7120 | 102000 | 3.5375 | 0.3755 |
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+ | 3.1431 | 30.0032 | 103000 | 3.5454 | 0.3749 |
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+ | 3.1156 | 30.2945 | 104000 | 3.5504 | 0.3747 |
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+ | 3.1375 | 30.5858 | 105000 | 3.5398 | 0.3751 |
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+ | 3.1589 | 30.8771 | 106000 | 3.5371 | 0.3755 |
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+ | 3.127 | 31.4597 | 108000 | 3.5472 | 0.3747 |
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+ | 3.1485 | 31.7510 | 109000 | 3.5359 | 0.3758 |
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+ | 3.06 | 32.0422 | 110000 | 3.5515 | 0.3751 |
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+ | 3.1079 | 32.3335 | 111000 | 3.5532 | 0.3748 |
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+ | 3.1299 | 32.6249 | 112000 | 3.5432 | 0.3754 |
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+ | 3.1148 | 33.7900 | 116000 | 3.5398 | 0.3758 |
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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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