Luandrie/_Whisper_Call_Center_en_lr5_warm1000

Distill Whisper Call Center Tforge Dev lr3

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: 2.1599
• Wer: 45.0884

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: 1000
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1919	3.0722	1000	1.3647	44.6936
0.0665	6.1444	2000	1.7527	43.9198
0.0186	9.2166	3000	1.9975	42.9248
0.0026	12.2888	4000	2.1599	45.0884

Framework versions

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