metadata
language:
- sw
tags:
- generated_from_trainer
datasets:
- tydiqa
model-index:
- name: afriberta_base-finetuned-tydiqa
results: []
afriberta_base-finetuned-tydiqa
This model is a fine-tuned version of castorini/afriberta_base on the tydiqa dataset. It achieves the following results on the evaluation set:
- Loss: 2.3728
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| No log | 1.0 | 192 | 2.1359 |
| No log | 2.0 | 384 | 2.3409 |
| 0.8353 | 3.0 | 576 | 2.3728 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3