Luandrie/_Whisper_Call_Center_NamesAdded

Distill Whisper Call Center NER

This model is a fine-tuned version of lelapa/distill_whisper_call_center_en_merged on the lelapa/Names_Accents dataset. It achieves the following results on the evaluation set:

• Loss: 0.2512
• Wer: 20.1290

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: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 256
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 25
• training_steps: 200
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3484	2.9412	100	0.3244	26.3656
0.0711	5.8824	200	0.2512	20.1290

Framework versions

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