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

• Bleu: 0.0062
• F1: 0.1346
• Wer: 1.3619
• Cer: 0.9390
• Meteor: 0.0429
• Loss: 8.3538

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Bleu	F1	Wer	Cer	Meteor	Validation Loss
No log	0.8	2	0.0062	0.1346	1.3619	0.9390	0.0429	8.3538

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1