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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
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
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