test-trainer-persian
This model is a fine-tuned version of sileod/mdeberta-v3-base-tasksource-nli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1753
- Accuracy: 0.9463
{'قانون': 3241, 'ادبیات': 18297, 'دارو': 708, 'شعر': 256, 'سیاست': 5720, 'دین': 911, 'علم': 4546, 'گفتگو': 2882}
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.514 | 1.0 | 1708 | 0.3680 | 0.8829 |
| 0.3639 | 2.0 | 3416 | 0.2282 | 0.9263 |
| 0.2534 | 3.0 | 5124 | 0.1753 | 0.9463 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for dadashzadeh/test-trainer-persian
Base model
sileod/mdeberta-v3-base-tasksource-nli