whisper-tiny-ft-tts-en-cy

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7312
• Wer: 43.2941

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9043	0.03	1000	0.9114	50.8573
0.7824	0.06	2000	0.7948	44.8466
0.725	0.08	3000	0.7469	43.6401
0.6998	0.11	4000	0.7312	43.2941

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1