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# ParsBERT_news_classification

This model is a fine-tuned version of [HooshvareLab/bert-fa-zwnj-base](https://huggingface.co/HooshvareLab/bert-fa-zwnj-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1169
- Accuracy: 0.9773
- Precision (macro): 0.9774
- Precision (micro): 0.9773
- Recall (macro): 0.9780
- Recall (micro): 0.9780
- F1 (macro): 0.9776
- F1 (micro): 0.9773

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision (macro) | Precision (micro) | Recall (macro) | Recall (micro) | F1 (macro) | F1 (micro) |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:-----------------:|:--------------:|:--------------:|:----------:|:----------:|
| 0.1168        | 1.0   | 3128 | 0.1005          | 0.9792   | 0.9791            | 0.9792            | 0.9791         | 0.9791         | 0.9790     | 0.9792     |
| 0.0638        | 2.0   | 6256 | 0.1003          | 0.9807   | 0.9806            | 0.9807            | 0.9805         | 0.9805         | 0.9805     | 0.9807     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HooshvareLab/bert-fa-zwnj-base", "model-index": [{"name": "ParsBERT_news_classification", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:HooshvareLab/bert-fa-zwnj-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us