Luandrie/_Whisper_Call_Center_en_lr3

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: 5.0246
• Wer: 78.6955

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: 0.001
• 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
0.8919	3.0722	1000	3.7926	93.3039
0.3033	6.1444	2000	3.7296	86.4656
0.0754	9.2166	3000	4.3265	78.7271
0.0028	12.2888	4000	5.0246	78.6955

Framework versions

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