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

# custom_model

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: 1.7420

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4865        | 1.0   | 369   | 1.3129          |
| 1.2021        | 2.0   | 738   | 1.1809          |
| 1.0322        | 3.0   | 1107  | 1.1234          |
| 0.9008        | 4.0   | 1476  | 1.0991          |
| 0.8134        | 5.0   | 1845  | 1.0827          |
| 0.7293        | 6.0   | 2214  | 1.0923          |
| 0.6539        | 7.0   | 2583  | 1.0942          |
| 0.5962        | 8.0   | 2952  | 1.1175          |
| 0.546         | 9.0   | 3321  | 1.1365          |
| 0.4915        | 10.0  | 3690  | 1.1490          |
| 0.4523        | 11.0  | 4059  | 1.1860          |
| 0.4204        | 12.0  | 4428  | 1.1977          |
| 0.3831        | 13.0  | 4797  | 1.2311          |
| 0.357         | 14.0  | 5166  | 1.2499          |
| 0.3378        | 15.0  | 5535  | 1.2674          |
| 0.3203        | 16.0  | 5904  | 1.2902          |
| 0.2943        | 17.0  | 6273  | 1.3226          |
| 0.2796        | 18.0  | 6642  | 1.3355          |
| 0.2679        | 19.0  | 7011  | 1.3618          |
| 0.2479        | 20.0  | 7380  | 1.3775          |
| 0.2361        | 21.0  | 7749  | 1.3995          |
| 0.2274        | 22.0  | 8118  | 1.4151          |
| 0.2102        | 23.0  | 8487  | 1.4315          |
| 0.1994        | 24.0  | 8856  | 1.4490          |
| 0.1943        | 25.0  | 9225  | 1.4714          |
| 0.1777        | 26.0  | 9594  | 1.4906          |
| 0.1697        | 27.0  | 9963  | 1.5078          |
| 0.1602        | 28.0  | 10332 | 1.5293          |
| 0.1497        | 29.0  | 10701 | 1.5457          |
| 0.1403        | 30.0  | 11070 | 1.5652          |
| 0.1315        | 31.0  | 11439 | 1.5814          |
| 0.124         | 32.0  | 11808 | 1.5987          |
| 0.1142        | 33.0  | 12177 | 1.6151          |
| 0.1057        | 34.0  | 12546 | 1.6354          |
| 0.1002        | 35.0  | 12915 | 1.6508          |
| 0.093         | 36.0  | 13284 | 1.6641          |
| 0.0867        | 37.0  | 13653 | 1.6808          |
| 0.081         | 38.0  | 14022 | 1.6866          |
| 0.076         | 39.0  | 14391 | 1.7061          |
| 0.0716        | 40.0  | 14760 | 1.7150          |
| 0.067         | 41.0  | 15129 | 1.7232          |
| 0.0638        | 42.0  | 15498 | 1.7322          |
| 0.0598        | 43.0  | 15867 | 1.7388          |
| 0.0575        | 44.0  | 16236 | 1.7446          |
| 0.0539        | 45.0  | 16605 | 1.7524          |
| 0.0525        | 46.0  | 16974 | 1.7580          |
| 0.0505        | 47.0  | 17343 | 1.7609          |
| 0.0479        | 48.0  | 17712 | 1.7612          |
| 0.0473        | 49.0  | 18081 | 1.7642          |
| 0.0462        | 50.0  | 18450 | 1.7644          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2