tngk/afroxlmr-pos_swa1_model

Afro-XLM-Roberta Mini POS Tagger

This model was fine-tuned on part-of-speech tagging using the Davlan/afro-xlmr-mini model. It supports token classification for low-resource African languages.

Usage

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("your-username/afroxlmr-pos")
model = AutoModelForTokenClassification.from_pretrained("your-username/afroxlmr-pos")


We have fine tune the pretrained model with another architechture and we had obtained a higher precision , recall and F1 score. For the training and dev data we have split our own data into train and dev and we have use their test set to get the final performance.

## Data Set

Our own Data : https://github.com/hausanlp/HERDPhobia
Their Data : https://github.com/masakhane-io/masakhane-pos

## Precision - 0.914
## Recall - 0.909
## F1 - 0.912
## loss - 1.27