---
license: mit
base_model: RogerB/afro-xlmr-large-kinre-finetuned-kinte-tweet-finetuned
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: afro-xlmr-large-kinre-finetuned-kinte-tweet-finetuned-kin-sent1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# afro-xlmr-large-kinre-finetuned-kinte-tweet-finetuned-kin-sent1

This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinre-finetuned-kinte-tweet-finetuned](https://huggingface.co/RogerB/afro-xlmr-large-kinre-finetuned-kinte-tweet-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9004
- F1: 0.6959

## 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: 100000
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9029        | 1.0   | 1013 | 0.6650          | 0.7226 |
| 0.729         | 2.0   | 2026 | 0.5295          | 0.8007 |
| 0.6296        | 3.0   | 3039 | 0.4975          | 0.8234 |


### Framework versions

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