justanotherinternetguy/whisper-small-sep28-5split

Whisper-Small Augmented for SEP-28k five

This model is a fine-tuned version of openai/whisper-small on the SEP-28K dataset.

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: 30
• num_epochs: 80
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.51.0
• Pytorch 2.7.1+cu126
• Datasets 4.1.1
• Tokenizers 0.21.4