metadata
language:
- it
pipeline_tag: text-classification
library_name: transformers
widget:
- example_title: Esempio 1
text: colore
- example_title: Esempio 2
text: rosso
- example_title: Esempio 3
text: piuttosto
bert-tiny-ita-lemma-classification is a text-classification model (based on bert-tiny-ita) which has been finetuned for a lemma classification task, using a private dataset of high quality dictionary data.
It can classify an italian lemma in the following classes:
- 'AGG': 0,
- 'VERBO_INTRANSITIVO': 1,
- 'VERBO_TRANSITIVO': 2,
- 'SOST_MASCHILE': 3,
- 'SOST_FEMMINILE': 4,
- 'AVVERBIO': 5,
- 'AGG_SOSTANTIVATO': 6
The project is still a work in progress, new versions will come with time.
Training
- epochs: 5
- lr: 1e-4
- optim: AdamW
- weight_decay: 1e-2