---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: finetuned-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. -->

# finetuned-model

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1626

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 6.6915          |
| No log        | 2.0   | 12   | 6.6732          |
| No log        | 3.0   | 18   | 6.6555          |
| No log        | 4.0   | 24   | 6.6385          |
| No log        | 5.0   | 30   | 6.6222          |
| No log        | 6.0   | 36   | 6.6063          |
| No log        | 7.0   | 42   | 6.5910          |
| No log        | 8.0   | 48   | 6.5760          |
| No log        | 9.0   | 54   | 6.5617          |
| No log        | 10.0  | 60   | 6.5482          |
| No log        | 11.0  | 66   | 6.5351          |
| No log        | 12.0  | 72   | 6.5223          |
| No log        | 13.0  | 78   | 6.5101          |
| No log        | 14.0  | 84   | 6.4982          |
| No log        | 15.0  | 90   | 6.4869          |
| No log        | 16.0  | 96   | 6.4758          |
| No log        | 17.0  | 102  | 6.4653          |
| No log        | 18.0  | 108  | 6.4551          |
| No log        | 19.0  | 114  | 6.4453          |
| No log        | 20.0  | 120  | 6.4357          |
| No log        | 21.0  | 126  | 6.4266          |
| No log        | 22.0  | 132  | 6.4177          |
| No log        | 23.0  | 138  | 6.4090          |
| No log        | 24.0  | 144  | 6.4006          |
| No log        | 25.0  | 150  | 6.3924          |
| No log        | 26.0  | 156  | 6.3845          |
| No log        | 27.0  | 162  | 6.3768          |
| No log        | 28.0  | 168  | 6.3696          |
| No log        | 29.0  | 174  | 6.3625          |
| No log        | 30.0  | 180  | 6.3557          |
| No log        | 31.0  | 186  | 6.3489          |
| No log        | 32.0  | 192  | 6.3423          |
| No log        | 33.0  | 198  | 6.3357          |
| No log        | 34.0  | 204  | 6.3294          |
| No log        | 35.0  | 210  | 6.3235          |
| No log        | 36.0  | 216  | 6.3176          |
| No log        | 37.0  | 222  | 6.3119          |
| No log        | 38.0  | 228  | 6.3064          |
| No log        | 39.0  | 234  | 6.3010          |
| No log        | 40.0  | 240  | 6.2957          |
| No log        | 41.0  | 246  | 6.2907          |
| No log        | 42.0  | 252  | 6.2859          |
| No log        | 43.0  | 258  | 6.2811          |
| No log        | 44.0  | 264  | 6.2765          |
| No log        | 45.0  | 270  | 6.2720          |
| No log        | 46.0  | 276  | 6.2675          |
| No log        | 47.0  | 282  | 6.2632          |
| No log        | 48.0  | 288  | 6.2590          |
| No log        | 49.0  | 294  | 6.2550          |
| No log        | 50.0  | 300  | 6.2511          |
| No log        | 51.0  | 306  | 6.2473          |
| No log        | 52.0  | 312  | 6.2437          |
| No log        | 53.0  | 318  | 6.2400          |
| No log        | 54.0  | 324  | 6.2365          |
| No log        | 55.0  | 330  | 6.2331          |
| No log        | 56.0  | 336  | 6.2298          |
| No log        | 57.0  | 342  | 6.2267          |
| No log        | 58.0  | 348  | 6.2237          |
| No log        | 59.0  | 354  | 6.2206          |
| No log        | 60.0  | 360  | 6.2177          |
| No log        | 61.0  | 366  | 6.2149          |
| No log        | 62.0  | 372  | 6.2121          |
| No log        | 63.0  | 378  | 6.2095          |
| No log        | 64.0  | 384  | 6.2068          |
| No log        | 65.0  | 390  | 6.2043          |
| No log        | 66.0  | 396  | 6.2019          |
| No log        | 67.0  | 402  | 6.1995          |
| No log        | 68.0  | 408  | 6.1973          |
| No log        | 69.0  | 414  | 6.1950          |
| No log        | 70.0  | 420  | 6.1929          |
| No log        | 71.0  | 426  | 6.1909          |
| No log        | 72.0  | 432  | 6.1889          |
| No log        | 73.0  | 438  | 6.1870          |
| No log        | 74.0  | 444  | 6.1851          |
| No log        | 75.0  | 450  | 6.1834          |
| No log        | 76.0  | 456  | 6.1817          |
| No log        | 77.0  | 462  | 6.1801          |
| No log        | 78.0  | 468  | 6.1786          |
| No log        | 79.0  | 474  | 6.1772          |
| No log        | 80.0  | 480  | 6.1758          |
| No log        | 81.0  | 486  | 6.1745          |
| No log        | 82.0  | 492  | 6.1733          |
| No log        | 83.0  | 498  | 6.1722          |
| 6.7021        | 84.0  | 504  | 6.1711          |
| 6.7021        | 85.0  | 510  | 6.1701          |
| 6.7021        | 86.0  | 516  | 6.1691          |
| 6.7021        | 87.0  | 522  | 6.1683          |
| 6.7021        | 88.0  | 528  | 6.1674          |
| 6.7021        | 89.0  | 534  | 6.1666          |
| 6.7021        | 90.0  | 540  | 6.1660          |
| 6.7021        | 91.0  | 546  | 6.1653          |
| 6.7021        | 92.0  | 552  | 6.1647          |
| 6.7021        | 93.0  | 558  | 6.1642          |
| 6.7021        | 94.0  | 564  | 6.1638          |
| 6.7021        | 95.0  | 570  | 6.1634          |
| 6.7021        | 96.0  | 576  | 6.1631          |
| 6.7021        | 97.0  | 582  | 6.1629          |
| 6.7021        | 98.0  | 588  | 6.1627          |
| 6.7021        | 99.0  | 594  | 6.1626          |
| 6.7021        | 100.0 | 600  | 6.1626          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3