abiyo27/whisper-small-ewe-2

Whisper_Small_Ewe

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

• Loss: 0.1021
• Wer: 10.0950

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 14000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2196	0.1802	4000	0.1780	19.3903
0.1587	0.3605	8000	0.1375	13.4933
0.1162	0.5407	12000	0.1021	10.0950

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1