metadata
license: mit
base_model: castorini/afriberta_large
tags:
- generated_from_trainer
model-index:
- name: afriberta_large-kinyarwanda-finetuned
results: []
afriberta_large-kinyarwanda-finetuned
This model is a fine-tuned version of 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