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# bert-base-Sentiment-persian

This model is a fine-tuned version of [HooshvareLab/roberta-fa-zwnj-base](https://huggingface.co/HooshvareLab/roberta-fa-zwnj-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4350
- Accuracy: 0.8298

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5814        | 1.0   | 3576  | 0.4350          | 0.8298   |
| 0.433         | 2.0   | 7152  | 0.4646          | 0.8307   |
| 0.313         | 3.0   | 10728 | 0.5334          | 0.8458   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
{"language": ["fa"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["hezarai/sentiment-dksf"], "metrics": ["accuracy"], "base_model": "HooshvareLab/roberta-fa-zwnj-base", "pipeline_tag": "text-classification", "model-index": [{"name": "bert-base-Sentiment-persian", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer fa dataset:hezarai/sentiment-dksf base_model:HooshvareLab/roberta-fa-zwnj-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us