arun100/whisper-tiny-cn-1

Whisper Base Chinese-Mandarin

This model is a fine-tuned version of xmzhu/whisper-tiny-zh on the mozilla-foundation/common_voice_16_0 zh-CN dataset. It achieves the following results on the evaluation set:

• Loss: 0.5759
• Wer: 91.1266

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: 5e-07
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6689	0.2	200	0.5854	91.6311
0.6314	1.07	400	0.5791	91.1788
0.653	1.27	600	0.5759	91.1266
0.699	2.13	800	0.5749	91.2049
0.5613	3.0	1000	0.5744	91.1527

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 2.16.2.dev0
• Tokenizers 0.15.0