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