my_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: 1.3121
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 343 | 3.8942 |
| 4.0789 | 2.0 | 686 | 3.2806 |
| 3.2026 | 3.0 | 1029 | 2.6920 |
| 3.2026 | 4.0 | 1372 | 2.1975 |
| 2.4058 | 5.0 | 1715 | 1.8336 |
| 1.8407 | 6.0 | 2058 | 1.5926 |
| 1.8407 | 7.0 | 2401 | 1.4462 |
| 1.5268 | 8.0 | 2744 | 1.3634 |
| 1.3811 | 9.0 | 3087 | 1.3238 |
| 1.3811 | 10.0 | 3430 | 1.3121 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
l3cube-pune/malayalam-bert