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