Luandrie/_Whisper_Call_Center_en_lr5_warm100

Distill Whisper Call Center Tforge Dev lr8

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

• Loss: 2.2432
• Wer: 45.0095

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: 100
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1411	3.0722	1000	1.4343	42.0562
0.0456	6.1444	2000	1.8382	53.3639
0.0102	9.2166	3000	2.1200	45.8939
0.0019	12.2888	4000	2.2432	45.0095

Framework versions

• Transformers 4.45.2
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.20.3