---
license: mit
base_model: RogerB/afro-xlmr-large-kinteal-domain-kinte-task
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: afro-xlmr-large-kinteal-domain-kinte-task-unkin-sent3
  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-kinteal-domain-kinte-task-unkin-sent3

This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinteal-domain-kinte-task](https://huggingface.co/RogerB/afro-xlmr-large-kinteal-domain-kinte-task) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9247
- F1: 0.6910

## 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: 42
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9089        | 1.0   | 1013 | 0.6264          | 0.7476 |
| 0.7196        | 2.0   | 2026 | 0.5055          | 0.8130 |
| 0.6028        | 3.0   | 3039 | 0.5010          | 0.8326 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1