---
license: mit
base_model: Davlan/afro-xlmr-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: afro-xlmr-large-unkin-sent2
  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. -->

# afro-xlmr-large-unkin-sent2

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: 0.8649
- F1: 0.6754

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1000000
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9788        | 1.0   | 1013 | 0.8178          | 0.6535 |
| 0.7932        | 2.0   | 2026 | 0.6577          | 0.7392 |
| 0.6943        | 3.0   | 3039 | 0.5971          | 0.7688 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1