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---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
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. -->
# gpt2-wikitext2
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6547
## 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: 1e-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: 60
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 55 | 9.1458 |
| No log | 2.0 | 110 | 8.3471 |
| No log | 3.0 | 165 | 7.7884 |
| No log | 4.0 | 220 | 7.3751 |
| No log | 5.0 | 275 | 7.0487 |
| No log | 6.0 | 330 | 6.7857 |
| No log | 7.0 | 385 | 6.5840 |
| No log | 8.0 | 440 | 6.4196 |
| No log | 9.0 | 495 | 6.2584 |
| 7.3272 | 10.0 | 550 | 6.1628 |
| 7.3272 | 11.0 | 605 | 6.0521 |
| 7.3272 | 12.0 | 660 | 5.9861 |
| 7.3272 | 13.0 | 715 | 5.9223 |
| 7.3272 | 14.0 | 770 | 5.8760 |
| 7.3272 | 15.0 | 825 | 5.8246 |
| 7.3272 | 16.0 | 880 | 5.7813 |
| 7.3272 | 17.0 | 935 | 5.7663 |
| 7.3272 | 18.0 | 990 | 5.7275 |
| 5.2638 | 19.0 | 1045 | 5.7022 |
| 5.2638 | 20.0 | 1100 | 5.6905 |
| 5.2638 | 21.0 | 1155 | 5.6803 |
| 5.2638 | 22.0 | 1210 | 5.6740 |
| 5.2638 | 23.0 | 1265 | 5.6631 |
| 5.2638 | 24.0 | 1320 | 5.6461 |
| 5.2638 | 25.0 | 1375 | 5.6326 |
| 5.2638 | 26.0 | 1430 | 5.6280 |
| 5.2638 | 27.0 | 1485 | 5.6408 |
| 4.5099 | 28.0 | 1540 | 5.6194 |
| 4.5099 | 29.0 | 1595 | 5.6255 |
| 4.5099 | 30.0 | 1650 | 5.6218 |
| 4.5099 | 31.0 | 1705 | 5.6127 |
| 4.5099 | 32.0 | 1760 | 5.6140 |
| 4.5099 | 33.0 | 1815 | 5.6281 |
| 4.5099 | 34.0 | 1870 | 5.6305 |
| 4.5099 | 35.0 | 1925 | 5.6139 |
| 4.5099 | 36.0 | 1980 | 5.6331 |
| 4.0571 | 37.0 | 2035 | 5.6323 |
| 4.0571 | 38.0 | 2090 | 5.6137 |
| 4.0571 | 39.0 | 2145 | 5.6258 |
| 4.0571 | 40.0 | 2200 | 5.6322 |
| 4.0571 | 41.0 | 2255 | 5.6392 |
| 4.0571 | 42.0 | 2310 | 5.6308 |
| 4.0571 | 43.0 | 2365 | 5.6329 |
| 4.0571 | 44.0 | 2420 | 5.6373 |
| 4.0571 | 45.0 | 2475 | 5.6407 |
| 3.7638 | 46.0 | 2530 | 5.6489 |
| 3.7638 | 47.0 | 2585 | 5.6489 |
| 3.7638 | 48.0 | 2640 | 5.6445 |
| 3.7638 | 49.0 | 2695 | 5.6428 |
| 3.7638 | 50.0 | 2750 | 5.6425 |
| 3.7638 | 51.0 | 2805 | 5.6450 |
| 3.7638 | 52.0 | 2860 | 5.6566 |
| 3.7638 | 53.0 | 2915 | 5.6504 |
| 3.7638 | 54.0 | 2970 | 5.6494 |
| 3.5759 | 55.0 | 3025 | 5.6538 |
| 3.5759 | 56.0 | 3080 | 5.6555 |
| 3.5759 | 57.0 | 3135 | 5.6529 |
| 3.5759 | 58.0 | 3190 | 5.6567 |
| 3.5759 | 59.0 | 3245 | 5.6551 |
| 3.5759 | 60.0 | 3300 | 5.6547 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.19.1
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