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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-es |
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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_pubmed_8_19 |
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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_pubmed_8_19 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4625 |
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- Bleu: 58.7452 |
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- Gen Len: 119.0251 |
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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: 8e-05 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 20 |
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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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| 0.8785 | 3.25 | 1000 | 0.8319 | 47.8321 | 118.9146 | |
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| 0.6571 | 6.5 | 2000 | 0.7008 | 50.9386 | 118.9497 | |
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| 0.5257 | 9.76 | 3000 | 0.5956 | 53.6824 | 118.9724 | |
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| 0.4406 | 13.01 | 4000 | 0.5257 | 56.3775 | 119.0075 | |
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| 0.3834 | 16.26 | 5000 | 0.4808 | 57.9502 | 119.0302 | |
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| 0.3541 | 19.51 | 6000 | 0.4625 | 58.7452 | 119.0251 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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