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  1. resemble_to_carry_frequency_1001/README.md +163 -0
  2. resemble_to_carry_frequency_1001/all_results.json +16 -0
  3. resemble_to_carry_frequency_1001/checkpoint-100000/config.json +31 -0
  4. resemble_to_carry_frequency_1001/checkpoint-100000/generation_config.json +6 -0
  5. resemble_to_carry_frequency_1001/checkpoint-100000/merges.txt +0 -0
  6. resemble_to_carry_frequency_1001/checkpoint-100000/model.safetensors +3 -0
  7. resemble_to_carry_frequency_1001/checkpoint-100000/optimizer.pt +3 -0
  8. resemble_to_carry_frequency_1001/checkpoint-100000/rng_state.pth +3 -0
  9. resemble_to_carry_frequency_1001/checkpoint-100000/scaler.pt +3 -0
  10. resemble_to_carry_frequency_1001/checkpoint-100000/scheduler.pt +3 -0
  11. resemble_to_carry_frequency_1001/checkpoint-100000/special_tokens_map.json +5 -0
  12. resemble_to_carry_frequency_1001/checkpoint-100000/tokenizer.json +0 -0
  13. resemble_to_carry_frequency_1001/checkpoint-100000/tokenizer_config.json +20 -0
  14. resemble_to_carry_frequency_1001/checkpoint-100000/trainer_state.json +0 -0
  15. resemble_to_carry_frequency_1001/checkpoint-100000/training_args.bin +3 -0
  16. resemble_to_carry_frequency_1001/checkpoint-100000/vocab.json +0 -0
  17. resemble_to_carry_frequency_1001/checkpoint-40000/config.json +31 -0
  18. resemble_to_carry_frequency_1001/checkpoint-40000/generation_config.json +6 -0
  19. resemble_to_carry_frequency_1001/checkpoint-40000/merges.txt +0 -0
  20. resemble_to_carry_frequency_1001/checkpoint-40000/model.safetensors +3 -0
  21. resemble_to_carry_frequency_1001/checkpoint-40000/optimizer.pt +3 -0
  22. resemble_to_carry_frequency_1001/checkpoint-40000/rng_state.pth +3 -0
  23. resemble_to_carry_frequency_1001/checkpoint-40000/scaler.pt +3 -0
  24. resemble_to_carry_frequency_1001/checkpoint-40000/scheduler.pt +3 -0
  25. resemble_to_carry_frequency_1001/checkpoint-40000/special_tokens_map.json +5 -0
  26. resemble_to_carry_frequency_1001/checkpoint-40000/tokenizer.json +0 -0
  27. resemble_to_carry_frequency_1001/checkpoint-40000/tokenizer_config.json +20 -0
  28. resemble_to_carry_frequency_1001/checkpoint-40000/trainer_state.json +0 -0
  29. resemble_to_carry_frequency_1001/checkpoint-40000/training_args.bin +3 -0
  30. resemble_to_carry_frequency_1001/checkpoint-40000/vocab.json +0 -0
  31. resemble_to_carry_frequency_1001/checkpoint-70000/config.json +31 -0
  32. resemble_to_carry_frequency_1001/checkpoint-70000/generation_config.json +6 -0
  33. resemble_to_carry_frequency_1001/checkpoint-70000/merges.txt +0 -0
  34. resemble_to_carry_frequency_1001/checkpoint-70000/model.safetensors +3 -0
  35. resemble_to_carry_frequency_1001/checkpoint-70000/optimizer.pt +3 -0
  36. resemble_to_carry_frequency_1001/checkpoint-70000/rng_state.pth +3 -0
  37. resemble_to_carry_frequency_1001/checkpoint-70000/scaler.pt +3 -0
  38. resemble_to_carry_frequency_1001/checkpoint-70000/scheduler.pt +3 -0
  39. resemble_to_carry_frequency_1001/checkpoint-70000/special_tokens_map.json +5 -0
  40. resemble_to_carry_frequency_1001/checkpoint-70000/tokenizer.json +0 -0
  41. resemble_to_carry_frequency_1001/checkpoint-70000/tokenizer_config.json +20 -0
  42. resemble_to_carry_frequency_1001/checkpoint-70000/trainer_state.json +0 -0
  43. resemble_to_carry_frequency_1001/checkpoint-70000/training_args.bin +3 -0
  44. resemble_to_carry_frequency_1001/checkpoint-70000/vocab.json +0 -0
  45. resemble_to_carry_frequency_1001/checkpoint-80000/config.json +31 -0
  46. resemble_to_carry_frequency_1001/checkpoint-80000/generation_config.json +6 -0
  47. resemble_to_carry_frequency_1001/checkpoint-80000/merges.txt +0 -0
  48. resemble_to_carry_frequency_1001/checkpoint-80000/model.safetensors +3 -0
  49. resemble_to_carry_frequency_1001/checkpoint-80000/optimizer.pt +3 -0
  50. resemble_to_carry_frequency_1001/checkpoint-80000/rng_state.pth +3 -0
resemble_to_carry_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_resemble_to_carry_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/tac9oysy)
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+ # exceptions_exp2_resemble_to_carry_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: 3.5593
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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: 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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+ | 4.8424 | 0.2914 | 1000 | 0.2517 | 4.7711 |
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+ | 4.3335 | 0.5827 | 2000 | 0.2998 | 4.2798 |
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+ | 4.1467 | 0.8741 | 3000 | 0.3160 | 4.0945 |
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+ | 3.9902 | 1.1652 | 4000 | 0.3254 | 3.9861 |
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+ | 3.9271 | 1.4566 | 5000 | 0.3320 | 3.9120 |
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+ | 3.8689 | 1.7479 | 6000 | 0.3372 | 3.8552 |
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+ | 3.7278 | 2.0390 | 7000 | 0.3416 | 3.8145 |
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+ | 3.7631 | 2.3304 | 8000 | 0.3443 | 3.7856 |
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+ | 3.7369 | 2.6218 | 9000 | 0.3474 | 3.7541 |
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+ | 3.7137 | 2.9131 | 10000 | 0.3494 | 3.7291 |
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+ | 3.6407 | 3.2042 | 11000 | 0.3516 | 3.7184 |
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+ | 3.6454 | 3.4956 | 12000 | 0.3533 | 3.6965 |
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+ | 3.6476 | 3.7870 | 13000 | 0.3548 | 3.6794 |
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+ | 3.5355 | 4.0781 | 14000 | 0.3558 | 3.6737 |
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+ | 3.5598 | 4.3694 | 15000 | 0.3574 | 3.6641 |
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+ | 3.5826 | 4.6608 | 16000 | 0.3586 | 3.6486 |
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+ | 3.5808 | 4.9522 | 17000 | 0.3597 | 3.6342 |
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+ | 3.4984 | 5.2433 | 18000 | 0.3601 | 3.6348 |
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+ | 3.5334 | 5.5346 | 19000 | 0.3610 | 3.6266 |
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+ | 3.5186 | 5.8260 | 20000 | 0.3620 | 3.6154 |
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+ | 3.431 | 6.1171 | 21000 | 0.3623 | 3.6203 |
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+ | 3.4722 | 6.4085 | 22000 | 0.3629 | 3.6107 |
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+ | 3.4859 | 6.6998 | 23000 | 0.3637 | 3.6016 |
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+ | 3.5012 | 6.9912 | 24000 | 0.3645 | 3.5914 |
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+ | 3.4251 | 7.2823 | 25000 | 0.3644 | 3.6019 |
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+ | 3.4523 | 7.5737 | 26000 | 0.3648 | 3.5927 |
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+ | 3.4605 | 7.8650 | 27000 | 0.3657 | 3.5837 |
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+ | 3.3884 | 8.1562 | 28000 | 0.3660 | 3.5917 |
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+ | 3.4273 | 8.4475 | 29000 | 0.3662 | 3.5854 |
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+ | 3.411 | 8.7389 | 30000 | 0.3672 | 3.5762 |
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+ | 3.3222 | 9.0300 | 31000 | 0.3670 | 3.5824 |
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+ | 3.3643 | 9.3214 | 32000 | 0.3672 | 3.5813 |
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+ | 3.3969 | 9.6127 | 33000 | 0.3680 | 3.5742 |
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+ | 3.4029 | 9.9041 | 34000 | 0.3683 | 3.5618 |
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+ | 3.3477 | 10.1952 | 35000 | 0.3681 | 3.5756 |
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+ | 3.3803 | 10.4866 | 36000 | 0.3686 | 3.5688 |
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+ | 3.3843 | 10.7779 | 37000 | 0.3692 | 3.5596 |
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+ | 3.3117 | 11.0691 | 38000 | 0.3687 | 3.5744 |
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+ | 3.3344 | 11.3604 | 39000 | 0.3691 | 3.5664 |
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+ | 3.3633 | 11.6518 | 40000 | 0.3697 | 3.5593 |
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+ | 3.3818 | 11.9431 | 41000 | 0.3701 | 3.5491 |
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+ | 3.3001 | 12.2343 | 42000 | 0.3698 | 3.5650 |
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+ | 3.3406 | 12.5256 | 43000 | 0.3700 | 3.5599 |
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+ | 3.3506 | 12.8170 | 44000 | 0.3707 | 3.5489 |
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+ | 3.2622 | 13.1081 | 45000 | 0.3702 | 3.5627 |
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+ | 3.3141 | 13.3995 | 46000 | 0.3705 | 3.5583 |
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+ | 3.341 | 13.6908 | 47000 | 0.3711 | 3.5516 |
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+ | 3.3435 | 13.9822 | 48000 | 0.3714 | 3.5439 |
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+ | 3.2695 | 14.2733 | 49000 | 0.3708 | 3.5590 |
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+ | 3.3143 | 14.5647 | 50000 | 0.3712 | 3.5498 |
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+ | 3.317 | 14.8560 | 51000 | 0.3718 | 3.5445 |
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+ | 3.2379 | 15.1471 | 52000 | 0.3713 | 3.5625 |
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+ | 3.2781 | 15.4385 | 53000 | 0.3718 | 3.5504 |
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+ | 3.3045 | 15.7299 | 54000 | 0.3719 | 3.5442 |
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+ | 3.2086 | 16.0210 | 55000 | 0.3718 | 3.5527 |
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+ | 3.2574 | 16.3123 | 56000 | 0.3718 | 3.5518 |
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+ | 3.2846 | 16.6037 | 57000 | 0.3723 | 3.5472 |
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+ | 3.3029 | 16.8951 | 58000 | 0.3726 | 3.5376 |
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+ | 3.2175 | 17.1862 | 59000 | 0.3721 | 3.5528 |
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+ | 3.2573 | 17.4775 | 60000 | 0.3723 | 3.5479 |
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+ | 3.2749 | 17.7689 | 61000 | 0.3729 | 3.5401 |
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+ | 3.1957 | 18.0600 | 62000 | 0.3722 | 3.5568 |
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+ | 3.2189 | 18.3514 | 63000 | 0.3729 | 3.5497 |
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+ | 3.267 | 18.6427 | 64000 | 0.3732 | 3.5424 |
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+ | 3.2811 | 18.9341 | 65000 | 0.3734 | 3.5362 |
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+ | 3.2098 | 19.2252 | 66000 | 0.3723 | 3.5520 |
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+ | 3.2485 | 19.5166 | 67000 | 0.3732 | 3.5446 |
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+ | 3.255 | 19.8079 | 68000 | 0.3736 | 3.5372 |
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+ | 3.1738 | 20.0991 | 69000 | 0.3726 | 3.5538 |
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+ | 3.2194 | 20.3904 | 70000 | 0.3729 | 3.5492 |
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+ | 3.2434 | 20.6818 | 71000 | 0.3734 | 3.5415 |
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+ | 3.252 | 20.9731 | 72000 | 0.3740 | 3.5316 |
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+ | 3.1927 | 21.2643 | 73000 | 0.3733 | 3.5523 |
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+ | 3.2214 | 21.5556 | 74000 | 0.3735 | 3.5446 |
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+ | 3.2408 | 21.8470 | 75000 | 0.3743 | 3.5379 |
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+ | 3.1601 | 22.1381 | 76000 | 0.3731 | 3.5523 |
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+ | 3.196 | 22.4295 | 77000 | 0.3738 | 3.5453 |
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+ | 3.2143 | 22.7208 | 78000 | 0.3740 | 3.5399 |
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+ | 3.1532 | 23.0119 | 79000 | 0.3740 | 3.5479 |
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+ | 3.184 | 23.3033 | 80000 | 0.3735 | 3.5487 |
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+ | 3.1761 | 23.5947 | 81000 | 3.5533 | 0.3735 |
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+ | 3.1972 | 23.8860 | 82000 | 3.5443 | 0.3742 |
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+ | 3.1518 | 24.1774 | 83000 | 3.5560 | 0.3731 |
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+ | 3.1866 | 24.4688 | 84000 | 3.5467 | 0.3739 |
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+ | 3.1973 | 24.7602 | 85000 | 3.5395 | 0.3744 |
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+ | 3.1343 | 25.0513 | 86000 | 3.5490 | 0.3736 |
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+ | 3.1674 | 25.3426 | 87000 | 3.5477 | 0.3742 |
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+ | 3.1936 | 25.6340 | 88000 | 3.5424 | 0.3745 |
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+ | 3.2008 | 25.9254 | 89000 | 3.5318 | 0.3747 |
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+ | 3.1502 | 26.2165 | 90000 | 3.5500 | 0.3742 |
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+ | 3.1722 | 26.5078 | 91000 | 3.5472 | 0.3744 |
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+ | 3.193 | 26.7992 | 92000 | 3.5333 | 0.3751 |
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+ | 3.1259 | 27.0903 | 93000 | 3.5543 | 0.3741 |
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+ | 3.1491 | 27.3817 | 94000 | 3.5485 | 0.3745 |
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+ | 3.1711 | 27.6730 | 95000 | 3.5388 | 0.3749 |
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+ | 3.1799 | 27.9644 | 96000 | 3.5341 | 0.3753 |
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+ | 3.1284 | 28.2555 | 97000 | 3.5506 | 0.3745 |
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+ | 3.1614 | 28.5469 | 98000 | 3.5439 | 0.3748 |
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+ | 3.1868 | 28.8382 | 99000 | 3.5361 | 0.3750 |
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+ | 3.1207 | 29.1294 | 100000 | 3.5556 | 0.3744 |
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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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