---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: 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. -->

# 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: 3.1666
- Accuracy: 0.4218
- Perplexity: 23.7262
- Bleu: 0.1462

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Perplexity | Bleu   |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.078         | 0.2806 | 500  | 5.9534          | 0.1875   | 385.0606   | 0.0310 |
| 5.0653        | 0.5612 | 1000 | 4.9232          | 0.2616   | 137.4410   | 0.0633 |
| 4.3357        | 0.8418 | 1500 | 4.2163          | 0.3222   | 67.7828    | 0.0857 |
| 3.9453        | 1.1223 | 2000 | 3.8824          | 0.3534   | 48.5418    | 0.1107 |
| 3.7572        | 1.4029 | 2500 | 3.7058          | 0.3684   | 40.6810    | 0.1217 |
| 3.6475        | 1.6835 | 3000 | 3.5827          | 0.3788   | 35.9700    | 0.1306 |
| 3.5431        | 1.9641 | 3500 | 3.4927          | 0.3878   | 32.8733    | 0.1347 |
| 3.4221        | 2.2447 | 4000 | 3.4283          | 0.3939   | 30.8231    | 0.1356 |
| 3.36          | 2.5253 | 4500 | 3.3719          | 0.3996   | 29.1351    | 0.1384 |
| 3.3281        | 2.8058 | 5000 | 3.3257          | 0.4041   | 27.8193    | 0.1369 |
| 3.2071        | 3.0864 | 5500 | 3.2885          | 0.4080   | 26.8024    | 0.1442 |
| 3.2002        | 3.3670 | 6000 | 3.2594          | 0.4117   | 26.0335    | 0.1477 |
| 3.1778        | 3.6476 | 6500 | 3.2319          | 0.4142   | 25.3278    | 0.1436 |
| 3.1523        | 3.9282 | 7000 | 3.2091          | 0.4167   | 24.7565    | 0.1462 |
| 3.0842        | 4.2088 | 7500 | 3.1917          | 0.4185   | 24.3289    | 0.1434 |
| 3.0465        | 4.4893 | 8000 | 3.1789          | 0.4201   | 24.0197    | 0.1460 |
| 3.0563        | 4.7699 | 8500 | 3.1666          | 0.4218   | 23.7262    | 0.1462 |


### Framework versions

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