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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 |
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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 |
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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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Before training: |
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- Loss: 3.17 |
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- Bleu: 14.513 |
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After Training |
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- Loss: 1.3320 |
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- Bleu: 36.7687 |
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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: 32 |
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- eval_batch_size: 64 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 1.7082 | 1.0 | 5929 | 1.6902 | 32.1311 | |
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| 1.4606 | 2.0 | 11858 | 1.4996 | 34.1129 | |
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| 1.3182 | 3.0 | 17787 | 1.4107 | 35.7428 | |
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| 1.2543 | 4.0 | 23716 | 1.3631 | 36.2009 | |
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| 1.2116 | 5.0 | 29645 | 1.3389 | 36.5876 | |
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| 1.1723 | 6.0 | 35574 | 1.3320 | 36.7481 | |
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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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