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roberta-urdu-small-finetuned-news
This model is a fine-tuned version of urduhack/roberta-urdu-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2702
- Accuracy: 0.9482
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5949 | 1.0 | 938 | 0.3626 | 0.9029 |
| 0.1351 | 2.0 | 1876 | 0.2545 | 0.9389 |
| 0.0281 | 3.0 | 2814 | 0.2702 | 0.9482 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
