Edit model card

whisper3_0010

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: 0.7159
  • Train Accuracy: 0.0297
  • Validation Loss: 0.7918
  • Validation Accuracy: 0.0300
  • Epoch: 9

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 Validation Loss Validation Accuracy Epoch
5.0832 0.0116 4.4298 0.0124 0
4.3130 0.0131 4.0733 0.0141 1
3.9211 0.0146 3.6762 0.0157 2
3.5505 0.0159 3.3453 0.0171 3
3.1592 0.0175 2.8062 0.0199 4
2.2581 0.0220 1.7622 0.0252 5
1.4671 0.0259 1.2711 0.0276 6
1.0779 0.0278 1.0220 0.0288 7
0.8591 0.0290 0.8836 0.0295 8
0.7159 0.0297 0.7918 0.0300 9

Framework versions

  • Transformers 4.25.0.dev0
  • TensorFlow 2.9.2
  • Datasets 2.6.1
  • Tokenizers 0.13.2
Downloads last month
10