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

# 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: 1.6646

## 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: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 19   | 1.3686          |
| No log        | 2.0   | 38   | 1.2421          |
| No log        | 3.0   | 57   | 1.1842          |
| No log        | 4.0   | 76   | 1.1521          |
| No log        | 5.0   | 95   | 1.1380          |
| 1.0495        | 6.0   | 114  | 1.1546          |
| 1.0495        | 7.0   | 133  | 1.1386          |
| 1.0495        | 8.0   | 152  | 1.1506          |
| 1.0495        | 9.0   | 171  | 1.1830          |
| 1.0495        | 10.0  | 190  | 1.1794          |
| 0.5118        | 11.0  | 209  | 1.2288          |
| 0.5118        | 12.0  | 228  | 1.2412          |
| 0.5118        | 13.0  | 247  | 1.2557          |
| 0.5118        | 14.0  | 266  | 1.2424          |
| 0.5118        | 15.0  | 285  | 1.2588          |
| 0.3204        | 16.0  | 304  | 1.3023          |
| 0.3204        | 17.0  | 323  | 1.3486          |
| 0.3204        | 18.0  | 342  | 1.3655          |
| 0.3204        | 19.0  | 361  | 1.3789          |
| 0.3204        | 20.0  | 380  | 1.4344          |
| 0.3204        | 21.0  | 399  | 1.4447          |
| 0.2116        | 22.0  | 418  | 1.4595          |
| 0.2116        | 23.0  | 437  | 1.5016          |
| 0.2116        | 24.0  | 456  | 1.4811          |
| 0.2116        | 25.0  | 475  | 1.5362          |
| 0.2116        | 26.0  | 494  | 1.5024          |
| 0.1447        | 27.0  | 513  | 1.5767          |
| 0.1447        | 28.0  | 532  | 1.5252          |
| 0.1447        | 29.0  | 551  | 1.5311          |
| 0.1447        | 30.0  | 570  | 1.5737          |
| 0.1447        | 31.0  | 589  | 1.5664          |
| 0.1165        | 32.0  | 608  | 1.5666          |
| 0.1165        | 33.0  | 627  | 1.6021          |
| 0.1165        | 34.0  | 646  | 1.5742          |
| 0.1165        | 35.0  | 665  | 1.6422          |
| 0.1165        | 36.0  | 684  | 1.6173          |
| 0.0943        | 37.0  | 703  | 1.6439          |
| 0.0943        | 38.0  | 722  | 1.6504          |
| 0.0943        | 39.0  | 741  | 1.6185          |
| 0.0943        | 40.0  | 760  | 1.6250          |
| 0.0943        | 41.0  | 779  | 1.6312          |
| 0.0943        | 42.0  | 798  | 1.6583          |
| 0.0786        | 43.0  | 817  | 1.6477          |
| 0.0786        | 44.0  | 836  | 1.6553          |
| 0.0786        | 45.0  | 855  | 1.6627          |
| 0.0786        | 46.0  | 874  | 1.6686          |
| 0.0786        | 47.0  | 893  | 1.6655          |
| 0.0722        | 48.0  | 912  | 1.6617          |
| 0.0722        | 49.0  | 931  | 1.6661          |
| 0.0722        | 50.0  | 950  | 1.6646          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1