---
license: apache-2.0
base_model:
- bertin-project/filiberto-124M
library_name: transformers
language:
- es
pipeline_tag: text-generation
---

**Filiberto 124M** is a small specialized foundation model trained on Spanish Golden Age Dramas.

Filiberto 124M OCR is only 124 million parameters. It can run easily on CPU or provide correction at scale on GPUs (>10k tokens/seconds).

## Training
The pre-training material included a collection of works taken from the [TEXORO](https://etso.es/texoro) corpus, via a collaboration with [ETSO](https://etso.es/), totalling ~5 million tokens. 

Pre-training ran on 5 epochs with levanter (500 steps total, each processing 1024 sequences of 512 tokens) on a TPUv4-32 for 15 minutes.

Tokenization is currently done with the GPT-2 tokenizer.