---
license: mit
base_model: Davlan/afro-xlmr-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: angela_shuffle_diacritics_entities_test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# angela_shuffle_diacritics_entities_test

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: 0.1642
- Precision: 0.4241
- Recall: 0.3051
- F1: 0.3549
- Accuracy: 0.9552

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1481        | 1.0   | 1283 | 0.1381          | 0.4423    | 0.2037 | 0.2789 | 0.9570   |
| 0.1258        | 2.0   | 2566 | 0.1329          | 0.4983    | 0.2396 | 0.3236 | 0.9592   |
| 0.1074        | 3.0   | 3849 | 0.1416          | 0.4748    | 0.2590 | 0.3352 | 0.9584   |
| 0.0853        | 4.0   | 5132 | 0.1523          | 0.4258    | 0.3156 | 0.3625 | 0.9552   |
| 0.0692        | 5.0   | 6415 | 0.1642          | 0.4241    | 0.3051 | 0.3549 | 0.9552   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3