EthioLLM-l-250K
This model is a fine-tuned version of 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} }