indictrans2-indic-indic-dist-320M-finetuned-eng_Ltn-to-mar_Deva
This model is a fine-tuned version of ai4bharat/indictrans2-indic-indic-dist-320M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4547
- Bleu: 10.3309
- Gen Len: 20.9925
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: 16
- eval_batch_size: 16
- 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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.5955 | 0.1703 | 2000 | 0.5251 | 9.1406 | 20.9926 |
| 0.5318 | 0.3407 | 4000 | 0.4925 | 9.7358 | 20.9923 |
| 0.5113 | 0.5110 | 6000 | 0.4738 | 10.0388 | 20.9925 |
| 0.5145 | 0.6814 | 8000 | 0.4618 | 10.2453 | 20.9925 |
| 0.5084 | 0.8517 | 10000 | 0.4547 | 10.3309 | 20.9925 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.9.0+cu128
- Datasets 2.21.0
- Tokenizers 0.21.4
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Base model
ai4bharat/indictrans2-indic-indic-dist-320M