Finetuning
This model is a fine-tuned version of Helsinki/opus-mt-en-mul on the samanantar dataset. source group: English target group: Telugu model: transformer
Model description
Helsinki/opus-mt-en-mul finetuned for translation task in Telugu 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: 1
Benchamark Evaluation
- BLEU score on Tatoeba: 24.446151121745
- BLUE score on IN-22: 10.6408506903564
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.