rogramss/whisper-tiny_to_chinese_accent_ae_further_analysis

Whisper tiny Chinese

This model is a fine-tuned version of openai/whisper-tiny on the Chinese English 'AE' Phonemes dataset. It achieves the following results on the evaluation set:

• Loss: 0.3921
• Wer: 15.3319

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: 500
• training_steps: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0616	2.0080	1000	0.3729	14.4012
0.0007	4.0161	2000	0.3843	15.0869
0.0005	6.0241	3000	0.3921	15.3319

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1