whisper_large_v3_phase3

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.7053
• eval_model_preparation_time: 0.0154
• eval_cer: 16.8825
• eval_wer: 28.2705
• eval_runtime: 2657.6234
• eval_samples_per_second: 1.318
• eval_steps_per_second: 0.165
• step: 0

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: 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: 1000
• num_epochs: 20
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.55.4
• Pytorch 2.8.0+cu126
• Datasets 4.1.1
• Tokenizers 0.21.4