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README.md
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---
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datasets:
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- ai4bharat/samanantar
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-
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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
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