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  1. last_to_hit_frequency_1001/README.md +163 -0
  2. last_to_hit_frequency_1001/all_results.json +16 -0
  3. last_to_hit_frequency_1001/checkpoint-100000/config.json +31 -0
  4. last_to_hit_frequency_1001/checkpoint-100000/generation_config.json +6 -0
  5. last_to_hit_frequency_1001/checkpoint-100000/merges.txt +0 -0
  6. last_to_hit_frequency_1001/checkpoint-100000/model.safetensors +3 -0
  7. last_to_hit_frequency_1001/checkpoint-100000/optimizer.pt +3 -0
  8. last_to_hit_frequency_1001/checkpoint-100000/rng_state.pth +3 -0
  9. last_to_hit_frequency_1001/checkpoint-100000/scaler.pt +3 -0
  10. last_to_hit_frequency_1001/checkpoint-100000/scheduler.pt +3 -0
  11. last_to_hit_frequency_1001/checkpoint-100000/special_tokens_map.json +5 -0
  12. last_to_hit_frequency_1001/checkpoint-100000/tokenizer.json +0 -0
  13. last_to_hit_frequency_1001/checkpoint-100000/tokenizer_config.json +20 -0
  14. last_to_hit_frequency_1001/checkpoint-100000/trainer_state.json +0 -0
  15. last_to_hit_frequency_1001/checkpoint-100000/training_args.bin +3 -0
  16. last_to_hit_frequency_1001/checkpoint-100000/vocab.json +0 -0
  17. last_to_hit_frequency_1001/checkpoint-40000/config.json +31 -0
  18. last_to_hit_frequency_1001/checkpoint-40000/generation_config.json +6 -0
  19. last_to_hit_frequency_1001/checkpoint-40000/merges.txt +0 -0
  20. last_to_hit_frequency_1001/checkpoint-40000/model.safetensors +3 -0
  21. last_to_hit_frequency_1001/checkpoint-40000/optimizer.pt +3 -0
  22. last_to_hit_frequency_1001/checkpoint-40000/rng_state.pth +3 -0
  23. last_to_hit_frequency_1001/checkpoint-40000/scaler.pt +3 -0
  24. last_to_hit_frequency_1001/checkpoint-40000/scheduler.pt +3 -0
  25. last_to_hit_frequency_1001/checkpoint-40000/special_tokens_map.json +5 -0
  26. last_to_hit_frequency_1001/checkpoint-40000/tokenizer.json +0 -0
  27. last_to_hit_frequency_1001/checkpoint-40000/tokenizer_config.json +20 -0
  28. last_to_hit_frequency_1001/checkpoint-40000/trainer_state.json +0 -0
  29. last_to_hit_frequency_1001/checkpoint-40000/training_args.bin +3 -0
  30. last_to_hit_frequency_1001/checkpoint-40000/vocab.json +0 -0
  31. last_to_hit_frequency_1001/checkpoint-70000/config.json +31 -0
  32. last_to_hit_frequency_1001/checkpoint-70000/generation_config.json +6 -0
  33. last_to_hit_frequency_1001/checkpoint-70000/merges.txt +0 -0
  34. last_to_hit_frequency_1001/checkpoint-70000/model.safetensors +3 -0
  35. last_to_hit_frequency_1001/checkpoint-70000/optimizer.pt +3 -0
  36. last_to_hit_frequency_1001/checkpoint-70000/rng_state.pth +3 -0
  37. last_to_hit_frequency_1001/checkpoint-70000/scaler.pt +3 -0
  38. last_to_hit_frequency_1001/checkpoint-70000/scheduler.pt +3 -0
  39. last_to_hit_frequency_1001/checkpoint-70000/special_tokens_map.json +5 -0
  40. last_to_hit_frequency_1001/checkpoint-70000/tokenizer.json +0 -0
  41. last_to_hit_frequency_1001/checkpoint-70000/tokenizer_config.json +20 -0
  42. last_to_hit_frequency_1001/checkpoint-70000/trainer_state.json +0 -0
  43. last_to_hit_frequency_1001/checkpoint-70000/training_args.bin +3 -0
  44. last_to_hit_frequency_1001/checkpoint-70000/vocab.json +0 -0
  45. last_to_hit_frequency_1001/checkpoint-80000/config.json +31 -0
  46. last_to_hit_frequency_1001/checkpoint-80000/generation_config.json +6 -0
  47. last_to_hit_frequency_1001/checkpoint-80000/merges.txt +0 -0
  48. last_to_hit_frequency_1001/checkpoint-80000/model.safetensors +3 -0
  49. last_to_hit_frequency_1001/checkpoint-80000/optimizer.pt +3 -0
  50. last_to_hit_frequency_1001/checkpoint-80000/rng_state.pth +3 -0
last_to_hit_frequency_1001/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_1001
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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/dezzskfr)
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+ # exceptions_exp2_last_to_hit_frequency_1001
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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: 3.5548
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+ - Accuracy: 0.3698
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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: 1001
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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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+ | 4.8292 | 0.2913 | 1000 | 0.2526 | 4.7625 |
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+ | 4.343 | 0.5826 | 2000 | 0.3001 | 4.2776 |
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+ | 4.1519 | 0.8739 | 3000 | 0.3163 | 4.0912 |
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+ | 3.9832 | 1.1652 | 4000 | 0.3257 | 3.9874 |
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+ | 3.9231 | 1.4565 | 5000 | 0.3321 | 3.9133 |
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+ | 3.8709 | 1.7478 | 6000 | 0.3377 | 3.8519 |
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+ | 3.753 | 2.0390 | 7000 | 0.3421 | 3.8120 |
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+ | 3.7469 | 2.3303 | 8000 | 0.3452 | 3.7808 |
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+ | 3.7452 | 2.6216 | 9000 | 0.3478 | 3.7518 |
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+ | 3.7285 | 2.9130 | 10000 | 0.3500 | 3.7232 |
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+ | 3.6361 | 3.2042 | 11000 | 0.3520 | 3.7125 |
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+ | 3.6428 | 3.4955 | 12000 | 0.3536 | 3.6946 |
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+ | 3.6387 | 3.7868 | 13000 | 0.3550 | 3.6745 |
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+ | 3.5437 | 4.0781 | 14000 | 0.3564 | 3.6677 |
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+ | 3.5684 | 4.3694 | 15000 | 0.3577 | 3.6582 |
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+ | 3.5745 | 4.6607 | 16000 | 0.3586 | 3.6439 |
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+ | 3.5827 | 4.9520 | 17000 | 0.3600 | 3.6305 |
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+ | 3.4979 | 5.2432 | 18000 | 0.3600 | 3.6367 |
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+ | 3.5219 | 5.5345 | 19000 | 0.3613 | 3.6236 |
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+ | 3.5406 | 5.8259 | 20000 | 0.3626 | 3.6113 |
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+ | 3.4266 | 6.1171 | 21000 | 0.3626 | 3.6177 |
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+ | 3.4681 | 6.4084 | 22000 | 0.3632 | 3.6071 |
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+ | 3.4797 | 6.6997 | 23000 | 0.3642 | 3.6002 |
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+ | 3.4969 | 6.9910 | 24000 | 0.3649 | 3.5869 |
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+ | 3.4076 | 7.2823 | 25000 | 0.3645 | 3.5990 |
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+ | 3.4535 | 7.5736 | 26000 | 0.3653 | 3.5888 |
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+ | 3.4522 | 7.8649 | 27000 | 0.3663 | 3.5791 |
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+ | 3.3902 | 8.1561 | 28000 | 0.3659 | 3.5893 |
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+ | 3.4024 | 8.4474 | 29000 | 0.3666 | 3.5801 |
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+ | 3.4241 | 8.7388 | 30000 | 0.3672 | 3.5716 |
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+ | 3.3306 | 9.0300 | 31000 | 0.3669 | 3.5815 |
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+ | 3.3808 | 9.3213 | 32000 | 0.3676 | 3.5776 |
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+ | 3.3982 | 9.6126 | 33000 | 0.3681 | 3.5693 |
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+ | 3.4131 | 9.9039 | 34000 | 0.3685 | 3.5598 |
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+ | 3.3494 | 10.1952 | 35000 | 0.3685 | 3.5712 |
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+ | 3.3611 | 10.4865 | 36000 | 0.3689 | 3.5644 |
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+ | 3.3847 | 10.7778 | 37000 | 0.3694 | 3.5581 |
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+ | 3.2988 | 11.0690 | 38000 | 0.3692 | 3.5659 |
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+ | 3.3317 | 11.3603 | 39000 | 0.3696 | 3.5602 |
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+ | 3.3584 | 11.6517 | 40000 | 0.3698 | 3.5548 |
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+ | 3.3695 | 11.9430 | 41000 | 0.3705 | 3.5487 |
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+ | 3.3134 | 12.2342 | 42000 | 0.3702 | 3.5608 |
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+ | 3.3341 | 12.5255 | 43000 | 0.3702 | 3.5564 |
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+ | 3.34 | 12.8168 | 44000 | 0.3711 | 3.5469 |
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+ | 3.2644 | 13.1081 | 45000 | 0.3703 | 3.5637 |
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+ | 3.3033 | 13.3994 | 46000 | 0.3706 | 3.5586 |
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+ | 3.321 | 13.6907 | 47000 | 0.3713 | 3.5462 |
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+ | 3.3478 | 13.9820 | 48000 | 0.3718 | 3.5400 |
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+ | 3.2776 | 14.2732 | 49000 | 0.3713 | 3.5559 |
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+ | 3.3024 | 14.5646 | 50000 | 0.3718 | 3.5450 |
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+ | 3.3119 | 14.8559 | 51000 | 0.3718 | 3.5443 |
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+ | 3.242 | 15.1471 | 52000 | 0.3716 | 3.5561 |
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+ | 3.2813 | 15.4384 | 53000 | 0.3720 | 3.5498 |
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+ | 3.3013 | 15.7297 | 54000 | 0.3724 | 3.5415 |
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+ | 3.2009 | 16.0210 | 55000 | 0.3720 | 3.5485 |
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+ | 3.2631 | 16.3123 | 56000 | 0.3721 | 3.5508 |
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+ | 3.2698 | 16.6036 | 57000 | 0.3724 | 3.5433 |
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+ | 3.2943 | 16.8949 | 58000 | 0.3730 | 3.5355 |
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+ | 3.2083 | 17.1861 | 59000 | 0.3722 | 3.5509 |
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+ | 3.2538 | 17.4775 | 60000 | 0.3729 | 3.5447 |
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+ | 3.2726 | 17.7688 | 61000 | 0.3731 | 3.5373 |
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+ | 3.1734 | 18.0600 | 62000 | 0.3726 | 3.5511 |
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+ | 3.2302 | 18.3513 | 63000 | 0.3729 | 3.5443 |
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+ | 3.2384 | 18.6426 | 64000 | 0.3732 | 3.5390 |
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+ | 3.2662 | 18.9339 | 65000 | 0.3737 | 3.5310 |
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+ | 3.1971 | 19.2252 | 66000 | 0.3729 | 3.5461 |
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+ | 3.233 | 19.5165 | 67000 | 0.3734 | 3.5416 |
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+ | 3.2554 | 19.8078 | 68000 | 0.3740 | 3.5345 |
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+ | 3.1718 | 20.0990 | 69000 | 0.3731 | 3.5510 |
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+ | 3.2171 | 20.3904 | 70000 | 0.3733 | 3.5472 |
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+ | 3.2353 | 20.6817 | 71000 | 0.3739 | 3.5372 |
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+ | 3.2543 | 20.9730 | 72000 | 0.3746 | 3.5272 |
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+ | 3.1935 | 21.2642 | 73000 | 0.3736 | 3.5449 |
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+ | 3.2197 | 21.5555 | 74000 | 0.3737 | 3.5378 |
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+ | 3.2384 | 21.8468 | 75000 | 0.3743 | 3.5341 |
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+ | 3.1627 | 22.1381 | 76000 | 0.3734 | 3.5498 |
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+ | 3.1852 | 22.4294 | 77000 | 0.3738 | 3.5413 |
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+ | 3.2191 | 22.7207 | 78000 | 0.3743 | 3.5396 |
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+ | 3.1517 | 23.0119 | 79000 | 0.3740 | 3.5452 |
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+ | 3.1792 | 23.3033 | 80000 | 0.3740 | 3.5448 |
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+ | 3.1887 | 23.5946 | 81000 | 3.5474 | 0.3738 |
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+ | 3.2022 | 23.8859 | 82000 | 3.5414 | 0.3743 |
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+ | 3.166 | 24.1774 | 83000 | 3.5519 | 0.3738 |
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+ | 3.1886 | 24.4687 | 84000 | 3.5405 | 0.3742 |
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+ | 3.1954 | 24.7600 | 85000 | 3.5343 | 0.3745 |
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+ | 3.1207 | 25.0513 | 86000 | 3.5508 | 0.3741 |
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+ | 3.1625 | 25.3426 | 87000 | 3.5465 | 0.3743 |
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+ | 3.1878 | 25.6339 | 88000 | 3.5371 | 0.3749 |
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+ | 3.2014 | 25.9252 | 89000 | 3.5307 | 0.3751 |
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+ | 3.1291 | 26.2164 | 90000 | 3.5488 | 0.3742 |
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+ | 3.1791 | 26.5077 | 91000 | 3.5393 | 0.3748 |
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+ | 3.1836 | 26.7991 | 92000 | 3.5345 | 0.3753 |
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+ | 3.105 | 27.0903 | 93000 | 3.5476 | 0.3745 |
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+ | 3.1532 | 27.3816 | 94000 | 3.5433 | 0.3749 |
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+ | 3.172 | 27.6729 | 95000 | 3.5368 | 0.3751 |
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+ | 3.1905 | 27.9642 | 96000 | 3.5282 | 0.3755 |
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+ | 3.1375 | 28.2555 | 97000 | 3.5473 | 0.3748 |
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+ | 3.1399 | 28.5468 | 98000 | 3.5383 | 0.3753 |
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+ | 3.1694 | 28.8381 | 99000 | 3.5353 | 0.3755 |
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+ | 3.1062 | 29.1293 | 100000 | 3.5500 | 0.3747 |
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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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