---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-yannic-test
  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. -->

# gpt2-finetuned-yannic-test

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3803

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5406        | 1.0   | 503  | 3.4633          |
| 3.4091        | 2.0   | 1006 | 3.4278          |
| 3.3505        | 3.0   | 1509 | 3.4075          |
| 3.3088        | 4.0   | 2012 | 3.3954          |
| 3.281         | 5.0   | 2515 | 3.3892          |
| 3.2616        | 6.0   | 3018 | 3.3846          |
| 3.2434        | 7.0   | 3521 | 3.3815          |
| 3.2357        | 8.0   | 4024 | 3.3803          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2