Mayalina/whisper-tiny-akan

Whisper Tiny Ak - Sumaya Ahmed Salihs

This model is a fine-tuned version of openai/whisper-tiny on the openai/whisper-tiny dataset. It achieves the following results on the evaluation set: WER: 0.931

• eval_loss: 4.6150
• eval_runtime: 94.5398
• eval_wer: 0.9308
• eval_samples_per_second: 0.529
• eval_steps_per_second: 0.529
• step: 0

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1