BART Legal Spanish ⚖️
BART Legal Spanish (base) is a BART-like model trained on A collection of corpora of Spanish legal domain.
BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function and (2) learning a model to reconstruct the original text.
This model is particularly effective when fine-tuned for text generation tasks (e.g., summarization, translation) but also works well for comprehension tasks (e.g., text classification, question answering).
Training details
- Dataset:
Spanish-legal-corpora- 90% for training / 10% for validation. - Training script: see here
Evaluation metrics 🧾
| Metric | # Value |
|---|---|
| Accuracy | 0.86 |
| Loss | 0.68 |
Benchmarks 🔨
WIP 🚧
How to use with transformers
from transformers import BartForConditionalGeneration, BartTokenizer
model_id = "mrm8488/bart-legal-base-es"
model = BartForConditionalGeneration.from_pretrained(model_id, forced_bos_token_id=0)
tokenizer = BartTokenizer.from_pretrained(model_id)
def fill_mask_span(text):
batch = tokenizer(text, return_tensors="pt")
generated_ids = model.generate(batch["input_ids"])
print(tokenizer.batch_decode(generated_ids, skip_special_tokens=True))
text = "Los españoles son <mask> ante la ley."
fill_mask_span(text)
# Output: ['Los españoles son iguales ante la ley.1.ª y 2.ª ante la']
text = "Los proyectos de reforma Constitucional deberán <mask> por una mayoría de tres quintos de cada una de las Cámaras."
fill_mask_span(text)
# Output: ['Los proyectos de reforma Constitucional deberán ser aprobados por una mayoría de tres quintos de cada']
Acknowledgments
Citation
If you want to cite this model, you can use this:
@misc {manuel_romero_2023,
author = { {Manuel Romero} },
title = { bart-legal-base-es (Revision c33ed22) },
year = 2023,
url = { https://huggingface.co/mrm8488/bart-legal-base-es },
doi = { 10.57967/hf/0472 },
publisher = { Hugging Face }
}
Created by Manuel Romero/@mrm8488
Made with ♥ in Spain