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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-hi |
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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: opus-mt-en-hi |
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results: [] |
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--- |
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# opus-mt-en-hi |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on [iitb-english-hindi](https://huggingface.co/datasets/cfilt/iitb-english-hindi) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5595 |
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- Bleu: 11.9246 |
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## Model description |
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More information needed |
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## Training and evaluation data |
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This model is trained on [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on [iitb-english-hindi](https://huggingface.co/datasets/cfilt/iitb-english-hindi). |
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Here's a tokenized and pre-processed version of this dataset -> [iitb-english-hindi-tokenized](https://huggingface.co/datasets/fubuki119/iitb-english-hindi-tokenized) |
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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: 64 |
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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: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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