Jenalea/_Whisper_Call_Center_en_merged

Distill Whisper Call Center

This model is a fine-tuned version of distil-whisper/distil-large-v3 on the www_call_center_eng_merged dataset. It achieves the following results on the evaluation set:

• Loss: 0.6325
• Wer: 15.4367

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: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1595	3.0628	1000	0.3259	14.9904
0.0579	6.1256	2000	0.4136	15.3033
0.0121	9.1884	3000	0.5519	15.2943
0.0021	12.2511	4000	0.6325	15.4367

Framework versions

• Transformers 4.45.2
• Pytorch 2.6.0+cu124
• Datasets 3.4.0
• Tokenizers 0.20.3