tamil-ner-model
This model is a fine-tuned version of bert-base-uncased on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.5562
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 |
|---|---|---|---|
| 0.3527 | 1.0 | 938 | 0.5562 |
| 0.3543 | 2.0 | 1876 | 0.5562 |
| 0.3584 | 3.0 | 2814 | 0.5562 |
| 0.3554 | 4.0 | 3752 | 0.5562 |
| 0.363 | 5.0 | 4690 | 0.5562 |
| 0.3562 | 6.0 | 5628 | 0.5562 |
| 0.3516 | 7.0 | 6566 | 0.5562 |
| 0.3554 | 8.0 | 7504 | 0.5562 |
| 0.3594 | 9.0 | 8442 | 0.5562 |
| 0.3568 | 10.0 | 9380 | 0.5562 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3