whisper-tiny-deltamon

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

• Loss: 0.0007
• Wer: 0.0

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: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.0453	5.0	10	5.1551	100.0
2.8084	10.0	20	0.9061	13.3333
0.3357	15.0	30	0.0096	0.0
0.0031	20.0	40	0.0007	0.0

Framework versions

• Transformers 4.33.2
• Pytorch 2.1.1+cu118
• Datasets 2.18.0
• Tokenizers 0.13.3