P7EjOpc1-MecAt

This model is a fine-tuned version of bert-base-uncased on Hausa VOA topics dataset. It achieves the following results on the evaluation set:

• Loss: 0.5860
• Accuracy: 0.8333

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	256	0.7484	0.7724
0.9925	2.0	512	0.5892	0.8310
0.9925	3.0	768	0.6549	0.8379

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2