tmp-test-indictrans
This model is a fine-tuned version of ai4bharat/indictrans2-en-indic-dist-200M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.7067
- Bleu: 26.3133
- Chrf: 53.2344
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: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf |
|---|---|---|---|---|---|
| 7.0819 | 0.4 | 20 | 7.0516 | 25.3893 | 52.3501 |
| 6.3118 | 0.8 | 40 | 6.7067 | 26.3133 | 53.2344 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.6.0
- Tokenizers 0.21.4
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Base model
ai4bharat/indictrans2-en-indic-dist-200M