---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-yannic-large
  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-large

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: 3.0845

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 403  | 3.2112          |
| 3.3686        | 2.0   | 806  | 3.1667          |
| 3.2407        | 3.0   | 1209 | 3.1426          |
| 3.1842        | 4.0   | 1612 | 3.1277          |
| 3.134         | 5.0   | 2015 | 3.1135          |
| 3.134         | 6.0   | 2418 | 3.1055          |
| 3.0949        | 7.0   | 2821 | 3.1004          |
| 3.0644        | 8.0   | 3224 | 3.0938          |
| 3.0391        | 9.0   | 3627 | 3.0904          |
| 3.0219        | 10.0  | 4030 | 3.0882          |
| 3.0219        | 11.0  | 4433 | 3.0865          |
| 3.0052        | 12.0  | 4836 | 3.0858          |
| 2.9926        | 13.0  | 5239 | 3.0859          |
| 2.9803        | 14.0  | 5642 | 3.0842          |
| 2.9793        | 15.0  | 6045 | 3.0845          |


### Framework versions

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