---
library_name: transformers
license: mit
base_model: Davlan/afro-xlmr-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: wolbanking77-afro-xlmr-large
  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. -->

# wolbanking77-afro-xlmr-large

This model is a fine-tuned version of [Davlan/afro-xlmr-large](https://huggingface.co/Davlan/afro-xlmr-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2959
- F1: 0.5810

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 4.2932        | 1.0   | 1958  | 4.0790          | 0.0315 |
| 2.9364        | 2.0   | 3916  | 2.7736          | 0.3511 |
| 2.288         | 3.0   | 5874  | 2.3849          | 0.4881 |
| 1.992         | 4.0   | 7832  | 2.2629          | 0.5396 |
| 1.6931        | 5.0   | 9790  | 2.2066          | 0.5694 |
| 1.3725        | 6.0   | 11748 | 2.2224          | 0.5770 |
| 1.2085        | 7.0   | 13706 | 2.2959          | 0.5810 |
| 0.9111        | 8.0   | 15664 | 2.4032          | 0.5704 |
| 0.8359        | 9.0   | 17622 | 2.4982          | 0.5719 |
| 0.6609        | 10.0  | 19580 | 2.6449          | 0.5720 |
| 0.4818        | 11.0  | 21538 | 2.7611          | 0.5691 |
| 0.417         | 12.0  | 23496 | 2.9075          | 0.5677 |
| 0.285         | 13.0  | 25454 | 3.0922          | 0.5570 |
| 0.1873        | 14.0  | 27412 | 3.2292          | 0.5582 |
| 0.1321        | 15.0  | 29370 | 3.3421          | 0.5646 |
| 0.0938        | 16.0  | 31328 | 3.4509          | 0.5694 |
| 0.0704        | 17.0  | 33286 | 3.5159          | 0.5695 |
| 0.0423        | 18.0  | 35244 | 3.5586          | 0.5740 |
| 0.0262        | 19.0  | 37202 | 3.6021          | 0.5652 |
| 0.0228        | 20.0  | 39160 | 3.6177          | 0.5654 |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1