---
license: afl-3.0
tags:
- generated_from_trainer
model-index:
- name: model_3
  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. -->

# model_3

This model is a fine-tuned version of [Davlan/afro-xlmr-large-61L](https://huggingface.co/Davlan/afro-xlmr-large-61L) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3654

## 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: 2e-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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9218        | 1.0   | 1453  | 1.6494          |
| 1.7438        | 2.0   | 2906  | 1.6273          |
| 1.6321        | 3.0   | 4359  | 1.5267          |
| 1.5142        | 4.0   | 5812  | 1.4903          |
| 1.4759        | 5.0   | 7265  | 1.4603          |
| 1.4138        | 6.0   | 8718  | 1.3933          |
| 1.3501        | 7.0   | 10171 | 1.4280          |
| 1.3373        | 8.0   | 11624 | 1.3632          |
| 1.298         | 9.0   | 13077 | 1.4296          |
| 1.2869        | 10.0  | 14530 | 1.3654          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3