charleslwang/uaspeech-whisper-small-fullFT

uaspeech-whisper-small-baseline

This model is a fine-tuned version of openai/whisper-small on UA-Speech.

Training and evaluation data

UA-Speech for training.

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu128
• Datasets 4.4.1
• Tokenizers 0.22.1