afriberta_base-finetuned-wikipedia-sw

This model is a fine-tuned version of castorini/afriberta_base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6659
• Model Preparation Time: 0.003

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
1.9514	1.0	313	1.7308	0.003
1.8156	2.0	626	1.6680	0.003
1.7607	3.0	939	1.6575	0.003

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1