metadata
base_model: Davlan/bert-base-multilingual-cased-finetuned-hausa
tags:
- generated_from_trainer
model-index:
- name: bert-hausa-sentimental
results: []
language:
- ha
widget:
- text: Rubuta abun
metrics:
- accuracy: '0.8372093023255814'
bert-hausa-sentimental
This model is a fine-tuned version of Davlan/bert-base-multilingual-cased-finetuned-hausa for sentimental analysis in the Hausa langauge.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
- Accuracy: 0.8372093023255814
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1