whisper-tiny-jiaozhu

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

  • Loss: 0.0772
  • Wer: 390.0

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.9419 1.0 5 3.7933 120.0
3.5809 2.0 10 3.3116 115.0000
2.9392 3.0 15 2.5977 115.0000
2.4416 4.0 20 2.1190 100.0
1.9172 5.0 25 1.5509 100.0
1.3762 6.0 30 1.0480 185.0
0.9056 7.0 35 0.7003 6325.0
0.5587 8.0 40 0.3793 3885.0
0.3094 9.0 45 0.2168 3005.0
0.1747 10.0 50 0.1447 2455.0
0.101 11.0 55 0.1192 160.0
0.0621 12.0 60 0.0981 310.0
0.0389 13.0 65 0.0968 300.0
0.0252 14.0 70 0.0831 365.0
0.0163 15.0 75 0.0837 490.0000
0.0118 16.0 80 0.0790 450.0
0.009 17.0 85 0.0770 395.0
0.0076 18.0 90 0.0772 390.0
0.0069 19.0 95 0.0774 390.0
0.0066 20.0 100 0.0772 390.0

Framework versions

  • Transformers 4.43.0.dev0
  • Pytorch 2.3.1+cpu
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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