---
license: mit
base_model: Davlan/afro-xlmr-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aligned_source_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. -->

# aligned_source_5e-5

This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1076
- Precision: 0.3551
- Recall: 0.2680
- F1: 0.3054
- Accuracy: 0.9711

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1109        | 1.0   | 1016 | 0.0905          | 0.3897    | 0.0842 | 0.1385 | 0.9745   |
| 0.0994        | 2.0   | 2032 | 0.0896          | 0.3712    | 0.2191 | 0.2756 | 0.9729   |
| 0.0861        | 3.0   | 3048 | 0.0936          | 0.3626    | 0.2567 | 0.3006 | 0.9718   |
| 0.0698        | 4.0   | 4064 | 0.0989          | 0.3665    | 0.2639 | 0.3068 | 0.9718   |
| 0.0594        | 5.0   | 5080 | 0.1076          | 0.3551    | 0.2680 | 0.3054 | 0.9711   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3