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End of training

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  1. README.md +19 -16
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  ---
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  library_name: transformers
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  license: mit
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- base_model: VietAI/vit5-large
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # BaViT5_v01
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- This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4562
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- - Sacrebleu: 15.4902
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|
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- | 0.5323 | 1.0 | 2966 | 0.4843 | 10.8807 |
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- | 0.4426 | 2.0 | 5932 | 0.4266 | 13.2481 |
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- | 0.3629 | 3.0 | 8898 | 0.4084 | 14.2709 |
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- | 0.3321 | 4.0 | 11864 | 0.4032 | 14.8016 |
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- | 0.286 | 5.0 | 14830 | 0.4061 | 15.1102 |
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- | 0.2528 | 6.0 | 17796 | 0.4160 | 15.2808 |
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- | 0.2235 | 7.0 | 20762 | 0.4270 | 15.4345 |
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- | 0.2018 | 8.0 | 23728 | 0.4400 | 15.4360 |
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- | 0.1856 | 9.0 | 26694 | 0.4562 | 15.4902 |
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- | 0.1639 | 10.0 | 29660 | 0.4705 | 15.4167 |
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- | 0.1565 | 11.0 | 32626 | 0.4886 | 15.4478 |
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- | 0.1392 | 12.0 | 35592 | 0.5035 | 15.4189 |
 
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: mit
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+ base_model: VietAI/vit5-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # BaViT5_v01
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+ This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4623
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+ - Sacrebleu: 14.3803
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|
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+ | 0.6515 | 1.0 | 2966 | 0.5899 | 7.7723 |
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+ | 0.576 | 2.0 | 5932 | 0.5257 | 10.4904 |
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+ | 0.4939 | 3.0 | 8898 | 0.4969 | 11.8064 |
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+ | 0.4842 | 4.0 | 11864 | 0.4793 | 12.5193 |
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+ | 0.4459 | 5.0 | 14830 | 0.4704 | 12.9876 |
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+ | 0.4222 | 6.0 | 17796 | 0.4632 | 13.2632 |
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+ | 0.4005 | 7.0 | 20762 | 0.4612 | 13.5868 |
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+ | 0.3869 | 8.0 | 23728 | 0.4580 | 13.8162 |
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+ | 0.381 | 9.0 | 26694 | 0.4556 | 13.9756 |
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+ | 0.3594 | 10.0 | 29660 | 0.4561 | 14.0827 |
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+ | 0.363 | 11.0 | 32626 | 0.4578 | 14.1701 |
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+ | 0.3427 | 12.0 | 35592 | 0.4591 | 14.2903 |
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+ | 0.3425 | 13.0 | 38558 | 0.4603 | 14.3091 |
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+ | 0.3377 | 14.0 | 41524 | 0.4611 | 14.3649 |
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+ | 0.314 | 15.0 | 44490 | 0.4623 | 14.3803 |
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  ### Framework versions