---
license: mit
base_model: xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: EthioLLM-l-250K
  results: []
language:
- am
- om
- ti
- so
- gez
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# EthioLLM-l-250K

This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co./xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0552

## 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-05
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results



### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

### Citation Information

@article{tonja2024ethiollm, title={EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation}, author={Tonja, Atnafu Lambebo and Azime, Israel Abebe and Belay, Tadesse Destaw and Yigezu, Mesay Gemeda and Mehamed, Moges Ahmed and Ayele, Abinew Ali and Jibril, Ebrahim Chekol and Woldeyohannis, Michael Melese and Kolesnikova, Olga and Slusallek, Philipp and others}, journal={arXiv preprint arXiv:2403.13737}, year={2024} }