Mayalina/whisper-small-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: 0.322 - (32%)

• eval_loss:
• eval_runtime:
• eval_wer:
• eval_samples_per_second:
• eval_steps_per_second:
• step:

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: 5e-5
• train_batch_size:
• eval_batch_size:
• seed:
• optimizer: Adam with betas=(0.9,0.999) and epsilon= 5e-5
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps:
• training_steps:
• mixed_precision_training: Native AMP

Framework versions

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