english-tamil-colloquial-translator
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9302
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.7252 | 2.0 | 2 | 8.8572 |
| 8.5464 | 4.0 | 4 | 5.2052 |
| 3.0963 | 6.0 | 6 | 3.0838 |
| 1.9897 | 8.0 | 8 | 2.1870 |
| 1.3451 | 10.0 | 10 | 1.9302 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0
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Model tree for La1ya/english-tamil-colloquial-translator
Base model
Helsinki-NLP/opus-mt-en-hi