---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: TinyStoriesProject
  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. -->

# TinyStoriesProject

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: 1.2720

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0951        | 0.06  | 500  | 1.9998          |
| 1.8826        | 0.13  | 1000 | 1.7193          |
| 1.7001        | 0.19  | 1500 | 1.6084          |
| 1.6066        | 0.25  | 2000 | 1.5351          |
| 1.5464        | 0.32  | 2500 | 1.4854          |
| 1.5006        | 0.38  | 3000 | 1.4462          |
| 1.4655        | 0.44  | 3500 | 1.4129          |
| 1.4302        | 0.51  | 4000 | 1.3839          |
| 1.4034        | 0.57  | 4500 | 1.3579          |
| 1.3781        | 0.63  | 5000 | 1.3341          |
| 1.3552        | 0.7   | 5500 | 1.3132          |
| 1.3342        | 0.76  | 6000 | 1.2972          |
| 1.3201        | 0.82  | 6500 | 1.2837          |
| 1.3096        | 0.89  | 7000 | 1.2756          |
| 1.3031        | 0.95  | 7500 | 1.2720          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0