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metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_keras_callback
model-index:
  - name: whisper_syl_cv12_pad_lob100__0020
    results: []

whisper_syl_cv12_pad_lob100__0020

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: 0.2444
  • Train Accuracy: 0.0343
  • Train Wermet: 1.1298
  • Validation Loss: 0.6369
  • Validation Accuracy: 0.0232
  • Validation Wermet: 0.6637
  • Epoch: 19

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': 2e-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
5.0233 0.0115 1.6383 3.8616 0.0117 0.9516 0
4.4412 0.0127 0.8560 3.5410 0.0125 0.8971 1
4.0719 0.0138 0.8366 3.2944 0.0132 0.8706 2
3.8091 0.0146 0.8133 3.1691 0.0134 0.8487 3
3.6239 0.0152 0.7866 3.0647 0.0136 0.8282 4
3.4749 0.0156 0.7589 2.9835 0.0139 0.8049 5
3.3444 0.0161 0.7359 2.9351 0.0140 0.7979 6
3.2215 0.0165 0.7138 2.8468 0.0145 0.7589 7
3.0754 0.0172 0.6873 2.7530 0.0148 0.7413 8
2.8713 0.0181 0.6484 2.5226 0.0157 0.7017 9
2.5469 0.0197 0.5934 2.1931 0.0168 0.6285 10
2.0233 0.0225 0.4997 1.6411 0.0189 0.5215 11
1.3808 0.0264 0.3852 1.2401 0.0205 0.4238 12
0.9722 0.0290 0.3123 1.0195 0.0215 0.3682 13
0.7388 0.0305 0.2828 0.8773 0.0221 0.3322 14
0.5787 0.0317 0.2751 0.7970 0.0225 0.3083 15
0.4642 0.0325 0.2878 0.7315 0.0227 0.2964 16
0.3752 0.0332 0.4217 0.6897 0.0229 0.3297 17
0.3042 0.0338 0.7294 0.6572 0.0231 0.4453 18
0.2444 0.0343 1.1298 0.6369 0.0232 0.6637 19

Framework versions

  • Transformers 4.33.0.dev0
  • TensorFlow 2.13.0
  • Tokenizers 0.13.3