afriteva_large_Hausa

This model is a fine-tuned version of castorini/afriteva_v2_large on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Bleu: 0.1760
• Meteor: 0.2802
• F1: 0.3333
• Wer: 0.9609
• Cer: 0.7959

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor	F1	Wer	Cer
0.0	1.0	2000	nan	0.1760	0.2802	0.3333	0.9609	0.7959
0.0	2.0	4000	nan	0.1760	0.2802	0.3333	0.9609	0.7959
0.0	3.0	6000	nan	0.1760	0.2802	0.3333	0.9609	0.7959

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1