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--- |
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license: apache-2.0 |
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base_model: Helsinki/opus-mt-en-fr |
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datasets: |
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- ai4bharat/samanantar |
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language: |
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- en |
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- hi |
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metrics: |
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- bleu |
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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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# Finetuning |
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This model is a fine-tuned version of [Helsinki/opus-mt-en-fr]([https://huggingface.co/Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr)) on the samanantar dataset. |
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source group: English |
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target group: Hindi |
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model: transformer |
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## Model description |
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Helsinki/opus-mt-en-fr finetuned for translation task in Hindi language |
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## Training and evaluation data |
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ai4bharath/samanantar |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-5 |
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- warmup_steps: 500 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- num_epochs: 3 |
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### Benchamark Evaluation |
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- BLEU score on Tatoeba: 21.93456688254154 |
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- BLUE score on IN-22: 15.545328465618004 |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
