hindi-translator
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5713
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 5.4313 |
| No log | 2.0 | 6 | 4.4603 |
| No log | 3.0 | 9 | 3.6500 |
| No log | 4.0 | 12 | 3.0170 |
| No log | 5.0 | 15 | 2.5338 |
| No log | 6.0 | 18 | 2.1718 |
| No log | 7.0 | 21 | 1.9067 |
| No log | 8.0 | 24 | 1.7237 |
| No log | 9.0 | 27 | 1.6140 |
| No log | 10.0 | 30 | 1.5713 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for phanikumarp/hindi-translator
Base model
Helsinki-NLP/opus-mt-en-hi