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# fake-reviews-distilbert-v3

This model is a fine-tuned version of [astrosbd/fake-reviews-distilbert-v3](https://huggingface.co/astrosbd/fake-reviews-distilbert-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1744
- eval_accuracy: 0.9749
- eval_runtime: 999.4816
- eval_samples_per_second: 10.113
- eval_steps_per_second: 0.316
- step: 0

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.13.2

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "astrosbd/fake-reviews-distilbert-v3", "model-index": [{"name": "fake-reviews-distilbert-v3", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:astrosbd/fake-reviews-distilbert-v3 license:mit autotrain_compatible endpoints_compatible region:us