lilpharaoh1/whisper-tiny_to_chinese_accent

Whisper tiny Chinese

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

• Loss: 0.3438
• Wer: 14.5671

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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3038	0.6418	500	0.3439	16.0921
0.1232	1.2837	1000	0.3204	14.4241
0.1497	1.9255	1500	0.3169	13.9952
0.0462	2.5674	2000	0.3199	13.3916
0.0079	3.2092	2500	0.3363	14.5830
0.0125	3.8511	3000	0.3329	13.8681
0.003	4.4929	3500	0.3419	14.2653
0.0046	5.1348	4000	0.3438	14.5671

Framework versions

• Transformers 4.50.0.dev0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0