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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: whisper_4_with_init_sun_char_0025 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# whisper_4_with_init_sun_char_0025 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.1717 |
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- Train Accuracy: 0.0392 |
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- Train Wermet: 0.0635 |
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- Validation Loss: 1.9791 |
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- Validation Accuracy: 0.0282 |
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- Validation Wermet: 0.0928 |
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- Epoch: 24 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 3.2071 | 0.0313 | 0.1237 | 2.8546 | 0.0225 | 0.1109 | 0 | |
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| 3.0365 | 0.0325 | 0.0375 | 2.8115 | 0.0228 | 0.1215 | 1 | |
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| 3.0162 | 0.0326 | 0.0484 | 2.7884 | 0.0231 | 0.1318 | 2 | |
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| 3.0042 | 0.0327 | 0.0555 | 2.7853 | 0.0233 | 0.1393 | 3 | |
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| 2.9934 | 0.0328 | 0.0614 | 2.7657 | 0.0232 | 0.1273 | 4 | |
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| 2.9858 | 0.0329 | 0.0654 | 2.7542 | 0.0234 | 0.1073 | 5 | |
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| 2.9735 | 0.0330 | 0.0673 | 2.7367 | 0.0234 | 0.1414 | 6 | |
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| 2.9574 | 0.0332 | 0.0704 | 2.6961 | 0.0240 | 0.1429 | 7 | |
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| 2.9320 | 0.0335 | 0.0723 | 2.6652 | 0.0239 | 0.0990 | 8 | |
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| 2.8976 | 0.0339 | 0.0729 | 2.5997 | 0.0245 | 0.0944 | 9 | |
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| 2.8460 | 0.0343 | 0.0728 | 2.5378 | 0.0248 | 0.1435 | 10 | |
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| 2.7781 | 0.0347 | 0.0741 | 2.4355 | 0.0254 | 0.1372 | 11 | |
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| 2.7083 | 0.0352 | 0.0747 | 2.5163 | 0.0248 | 0.0987 | 12 | |
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| 2.6445 | 0.0356 | 0.0720 | 2.2997 | 0.0261 | 0.1484 | 13 | |
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| 2.5838 | 0.0360 | 0.0724 | 2.2386 | 0.0266 | 0.1419 | 14 | |
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| 2.5294 | 0.0363 | 0.0721 | 2.1855 | 0.0269 | 0.1289 | 15 | |
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| 2.4760 | 0.0367 | 0.0711 | 2.1682 | 0.0271 | 0.1214 | 16 | |
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| 2.4339 | 0.0370 | 0.0698 | 2.1018 | 0.0273 | 0.1264 | 17 | |
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| 2.3867 | 0.0373 | 0.0684 | 2.0647 | 0.0275 | 0.1403 | 18 | |
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| 2.3528 | 0.0376 | 0.0669 | 2.0705 | 0.0275 | 0.1089 | 19 | |
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| 2.3145 | 0.0379 | 0.0658 | 2.0179 | 0.0280 | 0.1209 | 20 | |
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| 2.2765 | 0.0382 | 0.0654 | 2.0182 | 0.0279 | 0.1023 | 21 | |
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| 2.2415 | 0.0385 | 0.0650 | 1.9558 | 0.0284 | 0.1523 | 22 | |
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| 2.2102 | 0.0388 | 0.0643 | 1.9395 | 0.0285 | 0.1123 | 23 | |
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| 2.1717 | 0.0392 | 0.0635 | 1.9791 | 0.0282 | 0.0928 | 24 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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