whisper_small_tele

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

• Loss: 0.3165
• Cer: 72.2974

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: 16
• 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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.3643	0.56	1000	0.3751	56.4653
0.2418	1.13	2000	0.3346	105.1711
0.214	1.69	3000	0.3191	68.4718
0.1724	2.25	4000	0.3165	72.2974

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.1+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0