---
license: mit
tags:
- generated_from_trainer
model-index:
- name: qa_afroxml
  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. -->

# qa_afroxml

This model is a fine-tuned version of [Davlan/afro-xlmr-large](https://huggingface.co/Davlan/afro-xlmr-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8436

## 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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 261  | 2.7576          |
| 2.9898        | 2.0   | 522  | 2.8418          |
| 2.9898        | 3.0   | 783  | 2.6659          |
| 1.9119        | 4.0   | 1044 | 2.8548          |
| 1.9119        | 5.0   | 1305 | 3.2987          |
| 1.0452        | 6.0   | 1566 | 4.3218          |
| 1.0452        | 7.0   | 1827 | 4.8747          |
| 0.4662        | 8.0   | 2088 | 5.3515          |
| 0.4662        | 9.0   | 2349 | 5.6930          |
| 0.1931        | 10.0  | 2610 | 5.8436          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3