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whisper_new_split_ch_08__0005

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

  • Train Loss: 2.0288
  • Train Accuracy: 0.0397
  • Train Wermet: 6.0799
  • Validation Loss: 1.9309
  • Validation Accuracy: 0.0265
  • Validation Wermet: 13.6220
  • Epoch: 4

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Train Accuracy Train Wermet Validation Loss Validation Accuracy Validation Wermet Epoch
2.9538 0.0228 5.6932 2.4237 0.0203 14.2654 0
2.4052 0.0321 6.0897 2.1989 0.0229 15.5551 1
2.2222 0.0358 6.1102 2.0871 0.0245 13.4374 2
2.1102 0.0380 6.0428 1.9986 0.0253 13.7934 3
2.0288 0.0397 6.0799 1.9309 0.0265 13.6220 4

Framework versions

  • Transformers 4.31.0
  • TensorFlow 2.13.0
  • Tokenizers 0.13.3
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