---
license: mit
base_model: castorini/afriberta_large
tags:
- generated_from_trainer
model-index:
- name: afriberta_large-kinyarwanda-finetuned
  results: []
---

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

This model is a fine-tuned version of [castorini/afriberta_large](https://huggingface.co/castorini/afriberta_large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5352

## 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: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.1092        | 1.0   | 5000  | 2.7315          |
| 2.7775        | 2.0   | 10000 | 2.6010          |
| 2.6677        | 3.0   | 15000 | 2.5312          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3