---
license: mit
base_model: Davlan/afro-xlmr-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: flipped_5e-5_igbo
  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. -->

# flipped_5e-5_igbo

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: 0.3125
- Precision: 0.3694
- Recall: 0.1838
- F1: 0.2455
- Accuracy: 0.8977

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2975        | 1.0   | 1202 | 0.2816          | 0.2750    | 0.0578 | 0.0955 | 0.8990   |
| 0.2743        | 2.0   | 2404 | 0.2823          | 0.3149    | 0.0703 | 0.1149 | 0.9010   |
| 0.2415        | 3.0   | 3606 | 0.2842          | 0.3713    | 0.1375 | 0.2007 | 0.9007   |
| 0.2136        | 4.0   | 4808 | 0.3080          | 0.3688    | 0.1450 | 0.2082 | 0.8999   |
| 0.1904        | 5.0   | 6010 | 0.3125          | 0.3694    | 0.1838 | 0.2455 | 0.8977   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3