---
tags:
- generated_from_trainer
model-index:
- name: fake-pretrained-gpt-17m
  results: []
---

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# gpt-fake-lang-17m

This model is a pre-trained GPT2 (with 17m parameters) on a synthetic dataset (1gb of documents created in 4 fake languages, each with a formal and informal writing style).
It achieves the following results on the evaluation set:
- Loss: 3.5592

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5175        | 1.0   | 46857 | 3.5592          |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1