---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: rotating-head-gp-gpt2-medium-wikitext
  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. -->

# rotating-head-gp-gpt2-medium-wikitext

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1692
- Accuracy: 0.4228
- Perplexity: 23.7877
- Bleu: 0.1332

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7

### Training results

| Training Loss | Epoch  | Step  | Accuracy | Bleu   | Validation Loss | Perplexity |
|:-------------:|:------:|:-----:|:--------:|:------:|:---------------:|:----------:|
| 5.9062        | 0.2806 | 500   | 0.2234   | 0.0493 | 5.7470          | 313.2463   |
| 4.8598        | 0.5612 | 1000  | 0.2811   | 0.0698 | 4.7428          | 114.7554   |
| 4.3025        | 0.8418 | 1500  | 0.3170   | 0.0834 | 4.2329          | 68.9191    |
| 3.9635        | 1.1223 | 2000  | 0.3454   | 0.0932 | 3.9291          | 50.8590    |
| 3.7769        | 1.4029 | 2500  | 0.3636   | 0.1020 | 3.7427          | 42.2098    |
| 3.6738        | 1.6835 | 3000  | 0.3754   | 0.1066 | 3.6225          | 37.4295    |
| 3.5744        | 1.9641 | 3500  | 0.3845   | 0.1118 | 3.5325          | 34.2102    |
| 3.456         | 2.2447 | 4000  | 0.3902   | 0.1139 | 3.4704          | 32.1497    |
| 3.3972        | 2.5253 | 4500  | 0.3955   | 0.1230 | 3.4190          | 30.5384    |
| 3.3654        | 2.8058 | 5000  | 0.4007   | 0.1230 | 3.3686          | 29.0392    |
| 3.247         | 3.0864 | 5500  | 0.4043   | 0.1247 | 3.3328          | 28.0168    |
| 3.2403        | 3.3670 | 6000  | 0.4083   | 0.1298 | 3.2985          | 27.0714    |
| 3.2167        | 3.6476 | 6500  | 0.4112   | 0.1288 | 3.2693          | 26.2922    |
| 3.1903        | 3.9282 | 7000  | 0.4134   | 0.1305 | 3.2456          | 25.6768    |
| 3.1212        | 4.2088 | 7500  | 0.4161   | 0.1325 | 3.2262          | 25.1831    |
| 3.0816        | 4.4893 | 8000  | 0.4176   | 0.1307 | 3.2128          | 24.8480    |
| 3.0917        | 4.7699 | 8500  | 0.4196   | 0.1339 | 3.1985          | 24.4954    |
| 3.0562        | 5.0505 | 9000  | 0.4185   | 0.1326 | 3.2049          | 24.6521    |
| 3.0683        | 5.3311 | 9500  | 0.4195   | 0.1307 | 3.1970          | 24.4597    |
| 3.0502        | 5.6117 | 10000 | 0.4209   | 0.1331 | 3.1857          | 24.1847    |
| 3.0469        | 5.8923 | 10500 | 0.4217   | 0.1309 | 3.1790          | 24.0231    |
| 3.0245        | 6.1728 | 11000 | 3.1863   | 0.4205 | 24.1979         | 0.1294     |
| 3.0203        | 6.4534 | 11500 | 3.1783   | 0.4218 | 24.0068         | 0.1331     |
| 3.0265        | 6.7340 | 12000 | 3.1692   | 0.4228 | 23.7877         | 0.1332     |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0