wangyuzhe/whisper-small-dv

Whisper Small Fine-tuned on 不懂上海话的老王

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

• Loss: 0.6211
• Cer Ortho: 33.3881
• Cer: 32.7486

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: 16
• eval_batch_size: 16
• 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: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
0.9990	0.6024	100	0.9789	53.6472	53.2233
0.5426	1.2048	200	0.7389	41.0817	40.5007
0.4840	1.8072	300	0.6436	38.6281	38.0243
0.2562	2.4096	400	0.6285	34.8212	34.2246
0.2487	3.0120	500	0.6211	33.3881	32.7486

Framework versions

• Transformers 5.16.1
• Pytorch 2.11.0+cu128
• Datasets 4.8.5
• Tokenizers 0.23.1