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  1. resemble_to_carry_frequency_3591/README.md +179 -0
  2. resemble_to_carry_frequency_3591/all_results.json +16 -0
  3. resemble_to_carry_frequency_3591/checkpoint-100000/config.json +31 -0
  4. resemble_to_carry_frequency_3591/checkpoint-100000/generation_config.json +6 -0
  5. resemble_to_carry_frequency_3591/checkpoint-100000/merges.txt +0 -0
  6. resemble_to_carry_frequency_3591/checkpoint-100000/model.safetensors +3 -0
  7. resemble_to_carry_frequency_3591/checkpoint-100000/optimizer.pt +3 -0
  8. resemble_to_carry_frequency_3591/checkpoint-100000/rng_state.pth +3 -0
  9. resemble_to_carry_frequency_3591/checkpoint-100000/scaler.pt +3 -0
  10. resemble_to_carry_frequency_3591/checkpoint-100000/scheduler.pt +3 -0
  11. resemble_to_carry_frequency_3591/checkpoint-100000/special_tokens_map.json +5 -0
  12. resemble_to_carry_frequency_3591/checkpoint-100000/tokenizer.json +0 -0
  13. resemble_to_carry_frequency_3591/checkpoint-100000/tokenizer_config.json +20 -0
  14. resemble_to_carry_frequency_3591/checkpoint-100000/trainer_state.json +0 -0
  15. resemble_to_carry_frequency_3591/checkpoint-100000/training_args.bin +3 -0
  16. resemble_to_carry_frequency_3591/checkpoint-100000/vocab.json +0 -0
  17. resemble_to_carry_frequency_3591/checkpoint-110000/config.json +31 -0
  18. resemble_to_carry_frequency_3591/checkpoint-110000/generation_config.json +6 -0
  19. resemble_to_carry_frequency_3591/checkpoint-110000/merges.txt +0 -0
  20. resemble_to_carry_frequency_3591/checkpoint-110000/model.safetensors +3 -0
  21. resemble_to_carry_frequency_3591/checkpoint-110000/optimizer.pt +3 -0
  22. resemble_to_carry_frequency_3591/checkpoint-110000/rng_state.pth +3 -0
  23. resemble_to_carry_frequency_3591/checkpoint-110000/scaler.pt +3 -0
  24. resemble_to_carry_frequency_3591/checkpoint-110000/scheduler.pt +3 -0
  25. resemble_to_carry_frequency_3591/checkpoint-110000/special_tokens_map.json +5 -0
  26. resemble_to_carry_frequency_3591/checkpoint-110000/tokenizer.json +0 -0
  27. resemble_to_carry_frequency_3591/checkpoint-110000/tokenizer_config.json +20 -0
  28. resemble_to_carry_frequency_3591/checkpoint-110000/trainer_state.json +0 -0
  29. resemble_to_carry_frequency_3591/checkpoint-110000/training_args.bin +3 -0
  30. resemble_to_carry_frequency_3591/checkpoint-110000/vocab.json +0 -0
  31. resemble_to_carry_frequency_3591/checkpoint-40000/config.json +31 -0
  32. resemble_to_carry_frequency_3591/checkpoint-40000/generation_config.json +6 -0
  33. resemble_to_carry_frequency_3591/checkpoint-40000/merges.txt +0 -0
  34. resemble_to_carry_frequency_3591/checkpoint-40000/model.safetensors +3 -0
  35. resemble_to_carry_frequency_3591/checkpoint-40000/optimizer.pt +3 -0
  36. resemble_to_carry_frequency_3591/checkpoint-40000/rng_state.pth +3 -0
  37. resemble_to_carry_frequency_3591/checkpoint-40000/scaler.pt +3 -0
  38. resemble_to_carry_frequency_3591/checkpoint-40000/scheduler.pt +3 -0
  39. resemble_to_carry_frequency_3591/checkpoint-40000/special_tokens_map.json +5 -0
  40. resemble_to_carry_frequency_3591/checkpoint-40000/tokenizer.json +0 -0
  41. resemble_to_carry_frequency_3591/checkpoint-40000/tokenizer_config.json +20 -0
  42. resemble_to_carry_frequency_3591/checkpoint-40000/trainer_state.json +0 -0
  43. resemble_to_carry_frequency_3591/checkpoint-40000/training_args.bin +3 -0
  44. resemble_to_carry_frequency_3591/checkpoint-40000/vocab.json +0 -0
  45. resemble_to_carry_frequency_3591/checkpoint-80000/config.json +31 -0
  46. resemble_to_carry_frequency_3591/checkpoint-80000/generation_config.json +6 -0
  47. resemble_to_carry_frequency_3591/checkpoint-80000/merges.txt +0 -0
  48. resemble_to_carry_frequency_3591/checkpoint-80000/model.safetensors +3 -0
  49. resemble_to_carry_frequency_3591/checkpoint-80000/optimizer.pt +3 -0
  50. resemble_to_carry_frequency_3591/checkpoint-80000/rng_state.pth +3 -0
resemble_to_carry_frequency_3591/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_3591
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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/as4do55l)
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+ # exceptions_exp2_resemble_to_carry_frequency_3591
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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: 3.5532
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+ - Accuracy: 0.3703
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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: 3591
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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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+ | 4.8397 | 0.2914 | 1000 | 0.2540 | 4.7563 |
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+ | 4.3392 | 0.5827 | 2000 | 0.3000 | 4.2774 |
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+ | 4.1513 | 0.8741 | 3000 | 0.3163 | 4.0904 |
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+ | 3.9791 | 1.1652 | 4000 | 0.3253 | 3.9869 |
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+ | 3.9263 | 1.4566 | 5000 | 0.3324 | 3.9085 |
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+ | 3.8791 | 1.7479 | 6000 | 0.3374 | 3.8533 |
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+ | 3.741 | 2.0390 | 7000 | 0.3419 | 3.8081 |
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+ | 3.756 | 2.3304 | 8000 | 0.3451 | 3.7789 |
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+ | 3.7354 | 2.6218 | 9000 | 0.3477 | 3.7488 |
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+ | 3.7307 | 2.9131 | 10000 | 0.3503 | 3.7225 |
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+ | 3.6228 | 3.2042 | 11000 | 0.3522 | 3.7099 |
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+ | 3.6268 | 3.4956 | 12000 | 0.3537 | 3.6920 |
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+ | 3.636 | 3.7870 | 13000 | 0.3554 | 3.6749 |
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+ | 3.5348 | 4.0781 | 14000 | 0.3569 | 3.6671 |
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+ | 3.5627 | 4.3694 | 15000 | 0.3578 | 3.6564 |
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+ | 3.5703 | 4.6608 | 16000 | 0.3590 | 3.6417 |
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+ | 3.5729 | 4.9522 | 17000 | 0.3597 | 3.6301 |
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+ | 3.4981 | 5.2433 | 18000 | 0.3607 | 3.6334 |
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+ | 3.5226 | 5.5346 | 19000 | 0.3619 | 3.6189 |
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+ | 3.5368 | 5.8260 | 20000 | 0.3626 | 3.6109 |
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+ | 3.4384 | 6.1171 | 21000 | 0.3629 | 3.6116 |
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+ | 3.4709 | 6.4085 | 22000 | 0.3636 | 3.6063 |
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+ | 3.4877 | 6.6998 | 23000 | 0.3643 | 3.5947 |
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+ | 3.493 | 6.9912 | 24000 | 0.3651 | 3.5855 |
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+ | 3.428 | 7.2823 | 25000 | 0.3652 | 3.5931 |
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+ | 3.4498 | 7.5737 | 26000 | 0.3660 | 3.5844 |
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+ | 3.4665 | 7.8650 | 27000 | 0.3665 | 3.5783 |
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+ | 3.3708 | 8.1562 | 28000 | 0.3662 | 3.5857 |
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+ | 3.4133 | 8.4475 | 29000 | 0.3669 | 3.5814 |
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+ | 3.4221 | 8.7389 | 30000 | 0.3674 | 3.5721 |
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+ | 3.3221 | 9.0300 | 31000 | 0.3677 | 3.5762 |
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+ | 3.381 | 9.3214 | 32000 | 0.3678 | 3.5715 |
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+ | 3.3943 | 9.6127 | 33000 | 0.3686 | 3.5662 |
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+ | 3.3965 | 9.9041 | 34000 | 0.3686 | 3.5595 |
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+ | 3.3286 | 10.1952 | 35000 | 0.3685 | 3.5707 |
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+ | 3.3661 | 10.4866 | 36000 | 0.3693 | 3.5651 |
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+ | 3.3775 | 10.7779 | 37000 | 0.3695 | 3.5565 |
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+ | 3.2897 | 11.0691 | 38000 | 0.3697 | 3.5652 |
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+ | 3.3288 | 11.3604 | 39000 | 0.3698 | 3.5626 |
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+ | 3.356 | 11.6518 | 40000 | 0.3703 | 3.5532 |
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+ | 3.3662 | 11.9431 | 41000 | 0.3706 | 3.5489 |
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+ | 3.2902 | 12.2343 | 42000 | 0.3703 | 3.5608 |
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+ | 3.3368 | 12.5256 | 43000 | 0.3706 | 3.5540 |
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+ | 3.346 | 12.8170 | 44000 | 0.3712 | 3.5445 |
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+ | 3.2513 | 13.1081 | 45000 | 0.3708 | 3.5597 |
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+ | 3.2995 | 13.3995 | 46000 | 0.3712 | 3.5532 |
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+ | 3.325 | 13.6908 | 47000 | 0.3716 | 3.5471 |
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+ | 3.3356 | 13.9822 | 48000 | 0.3721 | 3.5356 |
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+ | 3.2839 | 14.2733 | 49000 | 0.3713 | 3.5546 |
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+ | 3.2881 | 14.5647 | 50000 | 0.3720 | 3.5437 |
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+ | 3.3166 | 14.8560 | 51000 | 0.3725 | 3.5390 |
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+ | 3.2349 | 15.1471 | 52000 | 0.3719 | 3.5557 |
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+ | 3.2721 | 15.4385 | 53000 | 0.3719 | 3.5473 |
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+ | 3.2872 | 15.7299 | 54000 | 0.3725 | 3.5403 |
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+ | 3.2068 | 16.0210 | 55000 | 0.3720 | 3.5499 |
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+ | 3.2498 | 16.3123 | 56000 | 0.3724 | 3.5468 |
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+ | 3.2682 | 16.6037 | 57000 | 0.3724 | 3.5454 |
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+ | 3.2945 | 16.8951 | 58000 | 0.3733 | 3.5341 |
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+ | 3.2201 | 17.1862 | 59000 | 0.3724 | 3.5510 |
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+ | 3.2394 | 17.4775 | 60000 | 0.3727 | 3.5456 |
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+ | 3.2719 | 17.7689 | 61000 | 0.3736 | 3.5344 |
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+ | 3.1819 | 18.0600 | 62000 | 0.3725 | 3.5497 |
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+ | 3.2338 | 18.3514 | 63000 | 0.3730 | 3.5485 |
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+ | 3.2505 | 18.6427 | 64000 | 0.3735 | 3.5380 |
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+ | 3.2739 | 18.9341 | 65000 | 0.3737 | 3.5306 |
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+ | 3.2026 | 19.2252 | 66000 | 0.3730 | 3.5502 |
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+ | 3.2359 | 19.5166 | 67000 | 0.3735 | 3.5424 |
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+ | 3.2468 | 19.8079 | 68000 | 0.3740 | 3.5319 |
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+ | 3.1707 | 20.0991 | 69000 | 0.3732 | 3.5505 |
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+ | 3.2046 | 20.3904 | 70000 | 0.3737 | 3.5438 |
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+ | 3.2309 | 20.6818 | 71000 | 0.3736 | 3.5368 |
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+ | 3.2452 | 20.9731 | 72000 | 0.3748 | 3.5297 |
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+ | 3.1822 | 21.2643 | 73000 | 0.3737 | 3.5446 |
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+ | 3.224 | 21.5556 | 74000 | 0.3741 | 3.5382 |
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+ | 3.2272 | 21.8470 | 75000 | 0.3748 | 3.5328 |
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+ | 3.1581 | 22.1381 | 76000 | 0.3738 | 3.5495 |
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+ | 3.2005 | 22.4295 | 77000 | 0.3743 | 3.5442 |
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+ | 3.2268 | 22.7208 | 78000 | 0.3745 | 3.5362 |
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+ | 3.1431 | 23.0119 | 79000 | 0.3743 | 3.5441 |
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+ | 3.1694 | 23.3033 | 80000 | 0.3741 | 3.5461 |
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+ | 3.1671 | 23.5947 | 81000 | 3.5478 | 0.3742 |
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+ | 3.1919 | 23.8860 | 82000 | 3.5403 | 0.3745 |
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+ | 3.1532 | 24.1774 | 83000 | 3.5512 | 0.3741 |
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+ | 3.1743 | 24.4688 | 84000 | 3.5428 | 0.3746 |
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+ | 3.2073 | 24.7602 | 85000 | 3.5363 | 0.3748 |
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+ | 3.1235 | 25.0513 | 86000 | 3.5486 | 0.3742 |
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+ | 3.1636 | 25.3426 | 87000 | 3.5431 | 0.3746 |
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+ | 3.1941 | 25.6340 | 88000 | 3.5410 | 0.3747 |
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+ | 3.208 | 25.9254 | 89000 | 3.5273 | 0.3754 |
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+ | 3.123 | 26.2165 | 90000 | 3.5514 | 0.3744 |
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+ | 3.1588 | 26.5078 | 91000 | 3.5436 | 0.3747 |
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+ | 3.1829 | 26.7992 | 92000 | 3.5380 | 0.3750 |
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+ | 3.1076 | 27.0903 | 93000 | 3.5492 | 0.3747 |
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+ | 3.1512 | 27.3817 | 94000 | 3.5481 | 0.3747 |
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+ | 3.1708 | 27.6730 | 95000 | 3.5395 | 0.3752 |
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+ | 3.189 | 27.9644 | 96000 | 3.5272 | 0.3760 |
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+ | 3.131 | 28.2555 | 97000 | 3.5460 | 0.3749 |
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+ | 3.1449 | 28.5469 | 98000 | 3.5416 | 0.3753 |
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+ | 3.161 | 28.8382 | 99000 | 3.5326 | 0.3755 |
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+ | 3.097 | 29.1294 | 100000 | 3.5489 | 0.3750 |
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+ | 3.1273 | 29.4207 | 101000 | 3.5452 | 0.3753 |
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+ | 3.1424 | 29.7121 | 102000 | 3.5369 | 0.3757 |
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+ | 3.1432 | 30.0032 | 103000 | 3.5463 | 0.3752 |
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+ | 3.1163 | 30.2946 | 104000 | 3.5462 | 0.3752 |
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+ | 3.1274 | 30.5859 | 105000 | 3.5407 | 0.3756 |
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+ | 3.1451 | 30.8773 | 106000 | 3.5370 | 0.3756 |
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+ | 3.0908 | 31.1684 | 107000 | 3.5528 | 0.3752 |
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+ | 3.1116 | 31.4598 | 108000 | 3.5409 | 0.3758 |
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+ | 3.1512 | 31.7511 | 109000 | 3.5352 | 0.3762 |
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+ | 3.0573 | 32.0422 | 110000 | 3.5495 | 0.3753 |
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+ | 3.1029 | 32.3336 | 111000 | 3.5445 | 0.3755 |
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+ | 3.1237 | 32.6250 | 112000 | 3.5416 | 0.3758 |
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+ | 3.1061 | 33.4988 | 115000 | 3.5422 | 0.3758 |
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+ | 3.1164 | 33.7902 | 116000 | 3.5424 | 0.3760 |
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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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