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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-zh |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: medical_en_zh_8_29 |
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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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# medical_en_zh_8_29 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6159 |
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- Bleu: 41.4839 |
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- Gen Len: 77.4048 |
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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: 0.0004 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 1.5915 | 1.02 | 3000 | 1.4640 | 30.8193 | 76.572 | |
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| 1.2908 | 2.04 | 6000 | 1.2734 | 32.3053 | 76.897 | |
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| 1.0814 | 3.06 | 9000 | 1.1348 | 34.3605 | 77.2082 | |
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| 0.9083 | 4.08 | 12000 | 1.0246 | 34.9139 | 76.7213 | |
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| 0.7507 | 5.1 | 15000 | 0.9336 | 36.2245 | 76.6036 | |
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| 0.6046 | 6.12 | 18000 | 0.8291 | 37.987 | 77.326 | |
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| 0.4838 | 7.14 | 21000 | 0.7496 | 38.7572 | 77.2366 | |
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| 0.3861 | 8.16 | 24000 | 0.6730 | 40.3566 | 77.49 | |
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| 0.3203 | 9.19 | 27000 | 0.6159 | 41.4839 | 77.4048 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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