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

Loss: 0.3939
Wer: 16.4742

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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0022	6.0606	1000	0.3763	16.1702
0.0003	12.1212	2000	0.3939	16.4742

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

rogramss/whisper-tiny_to_chinese_accent_ae_further_analysis_th

Whisper tiny Chinese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rogramss/
whisper-tiny_to_chinese_accent_ae_further_analysis_th