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  1. last_to_carry_frequency_40817/README.md +163 -0
  2. last_to_carry_frequency_40817/all_results.json +16 -0
  3. last_to_carry_frequency_40817/checkpoint-100000/config.json +31 -0
  4. last_to_carry_frequency_40817/checkpoint-100000/generation_config.json +6 -0
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  6. last_to_carry_frequency_40817/checkpoint-100000/model.safetensors +3 -0
  7. last_to_carry_frequency_40817/checkpoint-100000/optimizer.pt +3 -0
  8. last_to_carry_frequency_40817/checkpoint-100000/rng_state.pth +3 -0
  9. last_to_carry_frequency_40817/checkpoint-100000/scaler.pt +3 -0
  10. last_to_carry_frequency_40817/checkpoint-100000/scheduler.pt +3 -0
  11. last_to_carry_frequency_40817/checkpoint-100000/special_tokens_map.json +5 -0
  12. last_to_carry_frequency_40817/checkpoint-100000/tokenizer.json +0 -0
  13. last_to_carry_frequency_40817/checkpoint-100000/tokenizer_config.json +20 -0
  14. last_to_carry_frequency_40817/checkpoint-100000/trainer_state.json +0 -0
  15. last_to_carry_frequency_40817/checkpoint-100000/training_args.bin +3 -0
  16. last_to_carry_frequency_40817/checkpoint-100000/vocab.json +0 -0
  17. last_to_carry_frequency_40817/checkpoint-40000/config.json +31 -0
  18. last_to_carry_frequency_40817/checkpoint-40000/generation_config.json +6 -0
  19. last_to_carry_frequency_40817/checkpoint-40000/merges.txt +0 -0
  20. last_to_carry_frequency_40817/checkpoint-40000/model.safetensors +3 -0
  21. last_to_carry_frequency_40817/checkpoint-40000/optimizer.pt +3 -0
  22. last_to_carry_frequency_40817/checkpoint-40000/rng_state.pth +3 -0
  23. last_to_carry_frequency_40817/checkpoint-40000/scaler.pt +3 -0
  24. last_to_carry_frequency_40817/checkpoint-40000/scheduler.pt +3 -0
  25. last_to_carry_frequency_40817/checkpoint-40000/special_tokens_map.json +5 -0
  26. last_to_carry_frequency_40817/checkpoint-40000/tokenizer.json +0 -0
  27. last_to_carry_frequency_40817/checkpoint-40000/tokenizer_config.json +20 -0
  28. last_to_carry_frequency_40817/checkpoint-40000/trainer_state.json +0 -0
  29. last_to_carry_frequency_40817/checkpoint-40000/training_args.bin +3 -0
  30. last_to_carry_frequency_40817/checkpoint-40000/vocab.json +0 -0
  31. last_to_carry_frequency_40817/checkpoint-70000/config.json +31 -0
  32. last_to_carry_frequency_40817/checkpoint-70000/generation_config.json +6 -0
  33. last_to_carry_frequency_40817/checkpoint-70000/merges.txt +0 -0
  34. last_to_carry_frequency_40817/checkpoint-70000/model.safetensors +3 -0
  35. last_to_carry_frequency_40817/checkpoint-70000/optimizer.pt +3 -0
  36. last_to_carry_frequency_40817/checkpoint-70000/rng_state.pth +3 -0
  37. last_to_carry_frequency_40817/checkpoint-70000/scaler.pt +3 -0
  38. last_to_carry_frequency_40817/checkpoint-70000/scheduler.pt +3 -0
  39. last_to_carry_frequency_40817/checkpoint-70000/special_tokens_map.json +5 -0
  40. last_to_carry_frequency_40817/checkpoint-70000/tokenizer.json +0 -0
  41. last_to_carry_frequency_40817/checkpoint-70000/tokenizer_config.json +20 -0
  42. last_to_carry_frequency_40817/checkpoint-70000/trainer_state.json +0 -0
  43. last_to_carry_frequency_40817/checkpoint-70000/training_args.bin +3 -0
  44. last_to_carry_frequency_40817/checkpoint-70000/vocab.json +0 -0
  45. last_to_carry_frequency_40817/checkpoint-80000/config.json +31 -0
  46. last_to_carry_frequency_40817/checkpoint-80000/generation_config.json +6 -0
  47. last_to_carry_frequency_40817/checkpoint-80000/merges.txt +0 -0
  48. last_to_carry_frequency_40817/checkpoint-80000/model.safetensors +3 -0
  49. last_to_carry_frequency_40817/checkpoint-80000/optimizer.pt +3 -0
  50. last_to_carry_frequency_40817/checkpoint-80000/rng_state.pth +3 -0
last_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_last_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/gqxq7vni)
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+ # exceptions_exp2_last_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: 3.5561
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+ - Accuracy: 0.3699
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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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+ | 4.8124 | 0.2913 | 1000 | 0.2575 | 4.7314 |
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+ | 4.3434 | 0.5826 | 2000 | 0.2994 | 4.2836 |
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+ | 4.1461 | 0.8739 | 3000 | 0.3159 | 4.0964 |
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+ | 3.9893 | 1.1652 | 4000 | 0.3254 | 3.9868 |
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+ | 3.9223 | 1.4565 | 5000 | 0.3321 | 3.9128 |
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+ | 3.8878 | 1.7477 | 6000 | 0.3375 | 3.8530 |
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+ | 3.7487 | 2.0390 | 7000 | 0.3417 | 3.8118 |
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+ | 3.761 | 2.3303 | 8000 | 0.3447 | 3.7820 |
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+ | 3.7366 | 2.6216 | 9000 | 0.3475 | 3.7528 |
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+ | 3.722 | 2.9129 | 10000 | 0.3499 | 3.7250 |
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+ | 3.6222 | 3.2042 | 11000 | 0.3517 | 3.7114 |
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+ | 3.6314 | 3.4955 | 12000 | 0.3535 | 3.6956 |
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+ | 3.6373 | 3.7868 | 13000 | 0.3549 | 3.6787 |
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+ | 3.5288 | 4.0781 | 14000 | 0.3564 | 3.6696 |
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+ | 3.5555 | 4.3694 | 15000 | 0.3573 | 3.6598 |
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+ | 3.5629 | 4.6606 | 16000 | 0.3586 | 3.6435 |
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+ | 3.5804 | 4.9519 | 17000 | 0.3597 | 3.6331 |
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+ | 3.4962 | 5.2432 | 18000 | 0.3600 | 3.6347 |
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+ | 3.5221 | 5.5345 | 19000 | 0.3612 | 3.6223 |
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+ | 3.5267 | 5.8258 | 20000 | 0.3621 | 3.6135 |
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+ | 3.4412 | 6.1171 | 21000 | 0.3627 | 3.6149 |
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+ | 3.466 | 6.4084 | 22000 | 0.3630 | 3.6101 |
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+ | 3.4877 | 6.6997 | 23000 | 0.3641 | 3.5967 |
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+ | 3.4918 | 6.9910 | 24000 | 0.3650 | 3.5878 |
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+ | 3.435 | 7.2823 | 25000 | 0.3647 | 3.5998 |
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+ | 3.4454 | 7.5736 | 26000 | 0.3656 | 3.5867 |
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+ | 3.4578 | 7.8648 | 27000 | 0.3665 | 3.5791 |
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+ | 3.3725 | 8.1561 | 28000 | 0.3661 | 3.5880 |
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+ | 3.4028 | 8.4474 | 29000 | 0.3667 | 3.5816 |
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+ | 3.4116 | 8.7387 | 30000 | 0.3671 | 3.5738 |
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+ | 3.3156 | 9.0300 | 31000 | 0.3673 | 3.5805 |
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+ | 3.3726 | 9.3213 | 32000 | 0.3673 | 3.5760 |
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+ | 3.3864 | 9.6126 | 33000 | 0.3679 | 3.5690 |
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+ | 3.4051 | 9.9039 | 34000 | 0.3687 | 3.5616 |
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+ | 3.3395 | 10.1952 | 35000 | 0.3682 | 3.5721 |
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+ | 3.3641 | 10.4865 | 36000 | 0.3688 | 3.5663 |
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+ | 3.3767 | 10.7777 | 37000 | 0.3690 | 3.5627 |
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+ | 3.2876 | 11.0690 | 38000 | 0.3690 | 3.5691 |
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+ | 3.3179 | 11.3603 | 39000 | 0.3692 | 3.5675 |
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+ | 3.3487 | 11.6516 | 40000 | 0.3699 | 3.5561 |
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+ | 3.3632 | 11.9429 | 41000 | 0.3702 | 3.5488 |
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+ | 3.3047 | 12.2342 | 42000 | 0.3697 | 3.5652 |
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+ | 3.3247 | 12.5255 | 43000 | 0.3702 | 3.5591 |
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+ | 3.3504 | 12.8168 | 44000 | 0.3707 | 3.5496 |
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+ | 3.2781 | 13.1081 | 45000 | 0.3701 | 3.5616 |
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+ | 3.2978 | 13.3994 | 46000 | 0.3706 | 3.5589 |
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+ | 3.3333 | 13.6906 | 47000 | 0.3710 | 3.5479 |
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+ | 3.3223 | 13.9819 | 48000 | 0.3714 | 3.5437 |
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+ | 3.2871 | 14.2732 | 49000 | 0.3707 | 3.5554 |
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+ | 3.2991 | 14.5645 | 50000 | 0.3715 | 3.5493 |
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+ | 3.3083 | 14.8558 | 51000 | 0.3718 | 3.5409 |
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+ | 3.242 | 15.1471 | 52000 | 0.3712 | 3.5584 |
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+ | 3.2621 | 15.4384 | 53000 | 0.3715 | 3.5521 |
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+ | 3.2978 | 15.7297 | 54000 | 0.3719 | 3.5433 |
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+ | 3.2024 | 16.0210 | 55000 | 0.3718 | 3.5548 |
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+ | 3.2494 | 16.3123 | 56000 | 0.3720 | 3.5525 |
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+ | 3.281 | 16.6036 | 57000 | 0.3725 | 3.5462 |
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+ | 3.2893 | 16.8948 | 58000 | 0.3727 | 3.5391 |
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+ | 3.2201 | 17.1861 | 59000 | 0.3722 | 3.5553 |
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+ | 3.2571 | 17.4774 | 60000 | 0.3721 | 3.5503 |
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+ | 3.2728 | 17.7687 | 61000 | 0.3731 | 3.5399 |
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+ | 3.1848 | 18.0600 | 62000 | 0.3723 | 3.5569 |
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+ | 3.2289 | 18.3513 | 63000 | 0.3726 | 3.5496 |
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+ | 3.2525 | 18.6426 | 64000 | 0.3728 | 3.5429 |
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+ | 3.2547 | 18.9339 | 65000 | 0.3736 | 3.5368 |
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+ | 3.2157 | 19.2252 | 66000 | 0.3726 | 3.5528 |
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+ | 3.2375 | 19.5165 | 67000 | 0.3732 | 3.5431 |
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+ | 3.2581 | 19.8077 | 68000 | 0.3731 | 3.5405 |
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+ | 3.1803 | 20.0990 | 69000 | 0.3728 | 3.5540 |
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+ | 3.22 | 20.3903 | 70000 | 0.3731 | 3.5496 |
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+ | 3.2368 | 20.6816 | 71000 | 0.3733 | 3.5425 |
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+ | 3.2631 | 20.9729 | 72000 | 0.3739 | 3.5332 |
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+ | 3.1943 | 21.2642 | 73000 | 0.3732 | 3.5514 |
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+ | 3.2262 | 21.5555 | 74000 | 0.3737 | 3.5438 |
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+ | 3.2291 | 21.8468 | 75000 | 0.3740 | 3.5350 |
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+ | 3.1582 | 22.1381 | 76000 | 0.3733 | 3.5500 |
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+ | 3.1977 | 22.4294 | 77000 | 0.3733 | 3.5511 |
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+ | 3.2203 | 22.7207 | 78000 | 0.3739 | 3.5402 |
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+ | 3.1447 | 23.0119 | 79000 | 0.3734 | 3.5511 |
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+ | 3.1824 | 23.3032 | 80000 | 0.3731 | 3.5522 |
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+ | 3.183 | 23.5945 | 81000 | 3.5527 | 0.3734 |
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+ | 3.1887 | 23.8858 | 82000 | 3.5406 | 0.3738 |
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+ | 3.1414 | 24.1771 | 83000 | 3.5568 | 0.3733 |
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+ | 3.1876 | 24.4684 | 84000 | 3.5472 | 0.3737 |
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+ | 3.2115 | 24.7597 | 85000 | 3.5377 | 0.3744 |
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+ | 3.1221 | 25.0510 | 86000 | 3.5520 | 0.3739 |
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+ | 3.1545 | 25.3423 | 87000 | 3.5505 | 0.3737 |
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+ | 3.1855 | 25.6336 | 88000 | 3.5404 | 0.3744 |
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+ | 3.1977 | 25.9248 | 89000 | 3.5370 | 0.3743 |
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+ | 3.133 | 26.2161 | 90000 | 3.5523 | 0.3739 |
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+ | 3.1699 | 26.5074 | 91000 | 3.5435 | 0.3745 |
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+ | 3.1849 | 26.7987 | 92000 | 3.5397 | 0.3745 |
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+ | 3.097 | 27.0900 | 93000 | 3.5569 | 0.3738 |
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+ | 3.1483 | 27.3813 | 94000 | 3.5509 | 0.3739 |
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+ | 3.1661 | 27.6726 | 95000 | 3.5437 | 0.3744 |
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+ | 3.1865 | 27.9639 | 96000 | 3.5334 | 0.3751 |
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+ | 3.1253 | 28.2552 | 97000 | 3.5519 | 0.3740 |
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+ | 3.1563 | 28.5465 | 98000 | 3.5446 | 0.3745 |
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+ | 3.1696 | 28.8378 | 99000 | 3.5369 | 0.3749 |
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+ | 3.1034 | 29.1290 | 100000 | 3.5550 | 0.3741 |
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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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