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--- |
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license: apache-2.0 |
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tags: |
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- translation |
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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: En-Ts_update |
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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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# En-Ts_update |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ts](https://huggingface.co/Helsinki-NLP/opus-mt-en-ts) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1258 |
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- Bleu: 40.9729 |
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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: 2e-05 |
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- train_batch_size: 16 |
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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: 9 |
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### Training results |
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|Epoch| Training Loss | Validation Loss| Bleu | |
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|:---:|:---------------:|:----------------:|:-------:| |
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| 1 | 1.650900 | 1.676816 | 31.785027| |
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| 2 | 1.365800 | 1.478832 | 35.611479| |
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| 3 | 1.205400 | 1.376320 | 38.719939| |
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| 4 | 1.022600 | 1.196519 | 38.896970| |
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| 5 | 0.972500 | 1.172068 | 39.887214| |
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| 6 | 0.917900 | 1.150850 | 40.174857| |
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| 7 | 0.896800 | 1.136892 | 40.381562| |
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| 8 | 0.857000 | 1.130176 | 40.850785| |
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| 9 | 0.831100 | 1.12578 | 40.972992| |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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