---
library_name: transformers
language:
- pl
pipeline_tag: text-generation
model-index:
- name: gpt2-small-III
  results: []
datasets:
- allenai/c4
- clarin-knext/arguana-pl
- JonaszPotoniec/wikipedia-with-statistics-pl
- JuDDGES/pl-court-instruct
- speakleash/PES-2018-2022

---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

A small GTP-2 model trained on 6.94 GB (3 permutations * 2.31 GB) of Polish text

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** romanoza

## Uses

A base model for other models.

## Training Details

### Training Data

Training data size: 1_584_191 * 1_024 = 1_622_211_584 tokens

### Training Procedure

#### Training Hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-04
- train_batch_size: 16
- lr_scheduler_type: linear
- num_epochs: 2
- warmup_steps: 500

## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** 1 * A100
- **Hours used:** ~50h
- **Cloud Provider:** Google Colab