TsaiYing/whisper-small-zhIII_v2

Whisper Small zhIII_v2

This model is a fine-tuned version of openai/whisper-small on the sample dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001
• Cer: 0.0

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: 2
• eval_batch_size: 1
• 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: 5
• training_steps: 300
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0076	2.7778	100	0.0015	30.9760
0.0001	5.5556	200	0.0001	0.0
0.0001	8.3333	300	0.0001	0.0

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0