whisper_medium_tele_j04

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

• Loss: 0.2685
• Cer: 98.1710

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: 4
• 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
0.3363	0.2	1000	0.3179	97.6261
0.2821	0.4	2000	0.2957	96.6862
0.2838	0.6	3000	0.2787	96.5971
0.2625	0.8	4000	0.2685	98.1710

Framework versions

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