sarvam_hinglish_translation
This model is a fine-tuned version of sarvamai/sarvam-1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9108
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.0273 | 1.0 | 2742 | 6.0680 |
| 5.9235 | 2.0 | 5484 | 5.9861 |
| 5.8664 | 3.0 | 8226 | 5.9383 |
| 5.8076 | 4.0 | 10968 | 5.9181 |
| 5.8116 | 5.0 | 13710 | 5.9108 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
sarvamai/sarvam-1