Malayalam_QA_model
This model is a fine-tuned version of l3cube-pune/malayalam-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.9506
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: 0.0002
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.9504 | 1.0 | 386 | 5.9506 |
| 5.9486 | 2.0 | 772 | 5.9506 |
| 5.9517 | 3.0 | 1158 | 5.9506 |
| 5.9508 | 4.0 | 1544 | 5.9506 |
| 5.9508 | 5.0 | 1930 | 5.9506 |
| 5.9505 | 6.0 | 2316 | 5.9506 |
| 5.9507 | 7.0 | 2702 | 5.9506 |
| 5.9504 | 8.0 | 3088 | 5.9506 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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