---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: afriberta-small-hausa-5e-5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# afriberta-small-hausa-5e-5

This model is a fine-tuned version of [castorini/afriberta_small](https://huggingface.co/castorini/afriberta_small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1600
- Precision: 0.6808
- Recall: 0.4937
- F1: 0.5724
- Accuracy: 0.9623

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1523        | 1.0   | 1312 | 0.1338          | 0.6526    | 0.4261 | 0.5156 | 0.9583   |
| 0.1162        | 2.0   | 2624 | 0.1300          | 0.6862    | 0.4603 | 0.5510 | 0.9614   |
| 0.089         | 3.0   | 3936 | 0.1375          | 0.6953    | 0.4630 | 0.5559 | 0.9619   |
| 0.0698        | 4.0   | 5248 | 0.1507          | 0.6860    | 0.4888 | 0.5708 | 0.9623   |
| 0.0559        | 5.0   | 6560 | 0.1600          | 0.6808    | 0.4937 | 0.5724 | 0.9623   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3