Luandrie/_Whisper_Afrispeech_en_Cirlearning

Distill Whisper Call Center Afri

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

• Loss: 0.9028
• Wer: 18.6249

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.025	7.4074	1000	0.7780	18.9150
0.001	14.8148	2000	0.9028	18.6249

Framework versions

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