---
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-wikitext2-2-finetuned-wikitext2-2
  results: []
---

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# gpt2-finetuned-wikitext2-2-finetuned-wikitext2-2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7010

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9705        | 0.43  | 250  | 3.5828          |
| 2.921         | 0.86  | 500  | 3.5685          |
| 2.877         | 1.28  | 750  | 3.5727          |
| 2.8577        | 1.71  | 1000 | 3.5707          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3