---
license: mit
base_model: astrosbd/fake-reviews-distilbert-v3
tags:
- generated_from_trainer
model-index:
- name: fake-reviews-distilbert-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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