transformers pytorch gpt2 text-classification generated_from_trainer dataset:yelp_review_full base_model:openai-community/gpt2 base_model:finetune:openai-community/gpt2 license:mit model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: gpt2
datasets:
- yelp_review_full
license: mit
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: test_trainer
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: yelp_review_full
      type: yelp_review_full
      config: yelp_review_full
      split: test
      args: yelp_review_full
    metrics:
    - type: accuracy
      value: 0.584
      name: Accuracy
---

<!-- 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. -->

# test_trainer

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the yelp_review_full dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0617
- Accuracy: 0.584

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 250  | 1.1204          | 0.515    |
| 1.2411        | 2.0   | 500  | 1.0231          | 0.57     |
| 1.2411        | 3.0   | 750  | 1.0617          | 0.584    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
