MarathiSampark
This model is a fine-tuned version of Helsinki-NLP/opus-mt-mr-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8468
- Bleu: 0.1653
- Gen Len: 3.5172
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 197 | 3.8495 | 0.1734 | 3.4637 |
| No log | 2.0 | 394 | 3.8468 | 0.1653 | 3.5172 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3