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

# sst-gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the sst dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0218
- Mse: 0.0218

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mse    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.2144        | 1.0   | 534   | 0.0300          | 0.0301 |
| 0.0251        | 2.0   | 1068  | 0.0249          | 0.0250 |
| 0.0181        | 3.0   | 1602  | 0.0230          | 0.0230 |
| 0.0134        | 4.0   | 2136  | 0.0244          | 0.0244 |
| 0.0096        | 5.0   | 2670  | 0.0228          | 0.0228 |
| 0.0077        | 6.0   | 3204  | 0.0227          | 0.0227 |
| 0.0062        | 7.0   | 3738  | 0.0227          | 0.0227 |
| 0.0052        | 8.0   | 4272  | 0.0229          | 0.0229 |
| 0.0044        | 9.0   | 4806  | 0.0227          | 0.0226 |
| 0.0038        | 10.0  | 5340  | 0.0240          | 0.0240 |
| 0.0034        | 11.0  | 5874  | 0.0221          | 0.0221 |
| 0.0029        | 12.0  | 6408  | 0.0220          | 0.0220 |
| 0.0026        | 13.0  | 6942  | 0.0229          | 0.0229 |
| 0.0024        | 14.0  | 7476  | 0.0217          | 0.0217 |
| 0.002         | 15.0  | 8010  | 0.0225          | 0.0225 |
| 0.0018        | 16.0  | 8544  | 0.0222          | 0.0222 |
| 0.0016        | 17.0  | 9078  | 0.0217          | 0.0217 |
| 0.0015        | 18.0  | 9612  | 0.0218          | 0.0218 |
| 0.0014        | 19.0  | 10146 | 0.0217          | 0.0217 |
| 0.0013        | 20.0  | 10680 | 0.0218          | 0.0218 |


### Framework versions

- Transformers 4.37.0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.2