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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: Ts-En_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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# Ts-En_update |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ts-en](https://huggingface.co/Helsinki-NLP/opus-mt-ts-en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2030 |
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- Bleu: 44.6835 |
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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: 10 |
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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 | 1.095300 | 1.315572 | 40.419038| |
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| 5 | 1.020000 | 1.275409 | 41.858332| |
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| 6 | 0.959000 | 1.245399 | 42.456983| |
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| 7 | 0.915700 | 1.225268 | 41.888945| |
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| 8 | 0.879100 | 1.213904 | 43.738043| |
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| 9 | 0.841900 | 1.205976 | 43.683633| |
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| 10 | 0.800600 | 1.203017 | 44.294833| |
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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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