---
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: 3.1671
- Accuracy: 0.4217
- Perplexity: 23.7377
- Bleu: 0.1460

## 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   |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:------:|
| 6.0809        | 0.2806 | 500  | 5.9580          | 0.1883   | 386.8254   | 0.0333 |
| 5.0644        | 0.5612 | 1000 | 4.9191          | 0.2623   | 136.8761   | 0.0651 |
| 4.3331        | 0.8418 | 1500 | 4.2124          | 0.3226   | 67.5163    | 0.0890 |
| 3.9451        | 1.1223 | 2000 | 3.8835          | 0.3532   | 48.5942    | 0.1090 |
| 3.7568        | 1.4029 | 2500 | 3.7051          | 0.3684   | 40.6559    | 0.1226 |
| 3.6478        | 1.6835 | 3000 | 3.5827          | 0.3787   | 35.9710    | 0.1311 |
| 3.5435        | 1.9641 | 3500 | 3.4940          | 0.3877   | 32.9179    | 0.1343 |
| 3.4222        | 2.2447 | 4000 | 3.4292          | 0.3936   | 30.8527    | 0.1343 |
| 3.3604        | 2.5253 | 4500 | 3.3728          | 0.3990   | 29.1601    | 0.1414 |
| 3.3288        | 2.8058 | 5000 | 3.3269          | 0.4038   | 27.8518    | 0.1381 |
| 3.2074        | 3.0864 | 5500 | 3.2887          | 0.4079   | 26.8092    | 0.1423 |
| 3.2007        | 3.3670 | 6000 | 3.2605          | 0.4115   | 26.0632    | 0.1464 |
| 3.1787        | 3.6476 | 6500 | 3.2328          | 0.4140   | 25.3497    | 0.1428 |
| 3.1529        | 3.9282 | 7000 | 3.2085          | 0.4166   | 24.7424    | 0.1425 |
| 3.0849        | 4.2088 | 7500 | 3.1921          | 0.4184   | 24.3384    | 0.1430 |
| 3.0471        | 4.4893 | 8000 | 3.1796          | 0.4202   | 24.0366    | 0.1428 |
| 3.0569        | 4.7699 | 8500 | 3.1671          | 0.4217   | 23.7377    | 0.1460 |


### Framework versions

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