---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-shakespeare
  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-shakespeare

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0269

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 280
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.11  | 100  | 2.7142          |
| No log        | 0.21  | 200  | 2.4752          |
| No log        | 0.32  | 300  | 2.3674          |
| No log        | 0.42  | 400  | 2.3177          |
| 2.9171        | 0.53  | 500  | 2.2626          |
| 2.9171        | 0.63  | 600  | 2.2268          |
| 2.9171        | 0.74  | 700  | 2.2035          |
| 2.9171        | 0.84  | 800  | 2.1836          |
| 2.9171        | 0.95  | 900  | 2.1626          |
| 2.5537        | 1.05  | 1000 | 2.1444          |
| 2.5537        | 1.16  | 1100 | 2.1314          |
| 2.5537        | 1.26  | 1200 | 2.1192          |
| 2.5537        | 1.37  | 1300 | 2.1096          |
| 2.5537        | 1.47  | 1400 | 2.0968          |
| 2.4399        | 1.58  | 1500 | 2.0868          |
| 2.4399        | 1.68  | 1600 | 2.0765          |
| 2.4399        | 1.79  | 1700 | 2.0675          |
| 2.4399        | 1.89  | 1800 | 2.0606          |
| 2.4399        | 2.0   | 1900 | 2.0556          |
| 2.4006        | 2.1   | 2000 | 2.0491          |
| 2.4006        | 2.21  | 2100 | 2.0454          |
| 2.4006        | 2.31  | 2200 | 2.0389          |
| 2.4006        | 2.42  | 2300 | 2.0372          |
| 2.4006        | 2.52  | 2400 | 2.0326          |
| 2.3532        | 2.63  | 2500 | 2.0316          |
| 2.3532        | 2.73  | 2600 | 2.0286          |
| 2.3532        | 2.84  | 2700 | 2.0276          |
| 2.3532        | 2.94  | 2800 | 2.0269          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2