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SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18
This model is a fine-tuned version of SajjadAyoubi/xlm-roberta-large-fa-qa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7132
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 450 | 1.6760 |
| 2.4326 | 2.0 | 900 | 1.2467 |
| 1.7149 | 3.0 | 1350 | 1.0080 |
| 1.4159 | 4.0 | 1800 | 0.9462 |
| 1.1935 | 5.0 | 2250 | 0.8571 |
| 1.0304 | 6.0 | 2700 | 0.8423 |
| 0.9659 | 7.0 | 3150 | 0.7865 |
| 0.8431 | 8.0 | 3600 | 0.7647 |
| 0.8279 | 9.0 | 4050 | 0.7421 |
| 0.7808 | 10.0 | 4500 | 0.7911 |
| 0.7808 | 11.0 | 4950 | 0.7421 |
| 0.7409 | 12.0 | 5400 | 0.7146 |
| 0.7155 | 13.0 | 5850 | 0.7184 |
| 0.6672 | 14.0 | 6300 | 0.7149 |
| 0.6637 | 15.0 | 6750 | 0.7134 |
| 0.6457 | 16.0 | 7200 | 0.7128 |
| 0.6167 | 17.0 | 7650 | 0.7127 |
| 0.6256 | 18.0 | 8100 | 0.7132 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
