whisper-large-v3-turbo-fa-c17-avs

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2583
• Wer: 27.2091

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: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2293	0.4055	1000	0.4008	40.3172
0.167	0.8110	2000	0.3385	34.0503
0.0948	1.2165	3000	0.3067	31.7494
0.0669	1.6221	4000	0.2878	29.7909
0.0458	2.0276	5000	0.2583	27.2091

Framework versions

• Transformers 4.52.2
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1