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