whisper-pato-16

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

• Loss: 0.2622
• Wer: 18.7245

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-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1200
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4191	1.0	7571	0.4169	35.9921
0.2812	2.0	15142	0.3270	30.7195
0.1381	3.0	22713	0.2948	24.3961
0.0485	4.0	30284	0.2677	21.0149
0.0088	5.0	37855	0.2622	18.7245

Framework versions

• Transformers 4.45.0
• Pytorch 2.5.1+cu124
• Datasets 3.0.1
• Tokenizers 0.20.0