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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: VN_ja-en_byt5_small |
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results: [] |
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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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# VN_ja-en_byt5_small |
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0552 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.1687 | 0.1 | 2000 | 1.1805 | |
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| 0.9685 | 0.19 | 4000 | 1.1384 | |
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| 0.8989 | 0.29 | 6000 | 1.1207 | |
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| 0.8583 | 0.39 | 8000 | 1.1046 | |
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| 0.833 | 0.49 | 10000 | 1.1290 | |
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| 0.8102 | 0.58 | 12000 | 1.1225 | |
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| 0.7932 | 0.68 | 14000 | 1.0956 | |
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| 0.7776 | 0.78 | 16000 | 1.0970 | |
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| 0.762 | 0.88 | 18000 | 1.0992 | |
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| 0.7522 | 0.97 | 20000 | 1.0760 | |
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| 0.7318 | 1.07 | 22000 | 1.0579 | |
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| 0.7197 | 1.17 | 24000 | 1.0780 | |
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| 0.7142 | 1.27 | 26000 | 1.0748 | |
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| 0.7093 | 1.36 | 28000 | 1.0781 | |
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| 0.7005 | 1.46 | 30000 | 1.0756 | |
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| 0.6938 | 1.56 | 32000 | 1.0702 | |
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| 0.6896 | 1.65 | 34000 | 1.0563 | |
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| 0.6846 | 1.75 | 36000 | 1.0603 | |
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| 0.6807 | 1.85 | 38000 | 1.0626 | |
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| 0.6766 | 1.95 | 40000 | 1.0666 | |
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| 0.6649 | 2.04 | 42000 | 1.0694 | |
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| 0.6532 | 2.14 | 44000 | 1.0564 | |
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| 0.6501 | 2.24 | 46000 | 1.0715 | |
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| 0.6476 | 2.34 | 48000 | 1.0551 | |
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| 0.646 | 2.43 | 50000 | 1.0601 | |
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| 0.6445 | 2.53 | 52000 | 1.0595 | |
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| 0.6404 | 2.63 | 54000 | 1.0494 | |
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| 0.6378 | 2.72 | 56000 | 1.0584 | |
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| 0.636 | 2.82 | 58000 | 1.0531 | |
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| 0.6345 | 2.92 | 60000 | 1.0552 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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