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# afro-xlmr-large-kinyarwanda-all-finetuned

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: 1.0650

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.284         | 1.0   | 1875 | 1.1611          |
| 1.1803        | 2.0   | 3750 | 1.1152          |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "Davlan/afro-xlmr-large", "model-index": [{"name": "afro-xlmr-large-kinyarwanda-all-finetuned", "results": []}]}
transformers pytorch xlm-roberta fill-mask generated_from_trainer base_model:Davlan/afro-xlmr-large license:mit autotrain_compatible endpoints_compatible region:us