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SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_10
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: 0.7282
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: 5
- eval_batch_size: 5
- 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 |
|---|---|---|---|
| 2.6876 | 1.0 | 900 | 1.8294 |
| 1.9024 | 2.0 | 1800 | 1.3627 |
| 1.5665 | 3.0 | 2700 | 1.1218 |
| 1.2645 | 4.0 | 3600 | 0.9016 |
| 1.1124 | 5.0 | 4500 | 0.8324 |
| 0.9538 | 6.0 | 5400 | 0.8506 |
| 0.9072 | 7.0 | 6300 | 0.7650 |
| 0.8127 | 8.0 | 7200 | 0.7886 |
| 0.7671 | 9.0 | 8100 | 0.7172 |
| 0.6922 | 10.0 | 9000 | 0.7282 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
