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# test-trainer-persian

This model is a fine-tuned version of [sileod/mdeberta-v3-base-tasksource-nli](https://huggingface.co/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
{"language": ["fa", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "sileod/mdeberta-v3-base-tasksource-nli", "model-index": [{"name": "test-trainer-persian", "results": []}]}
transformers tensorboard safetensors deberta-v2 text-classification generated_from_trainer fa en base_model:sileod/mdeberta-v3-base-tasksource-nli license:apache-2.0 autotrain_compatible endpoints_compatible region:us