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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: train_from_raw_cv12_true__0005 |
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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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# train_from_raw_cv12_true__0005 |
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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: 1.4910 |
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- Train Accuracy: 0.0631 |
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- Train Wermet: 2.8298 |
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- Validation Loss: 1.4213 |
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- Validation Accuracy: 0.0402 |
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- Validation Wermet: 8.9930 |
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- Epoch: 4 |
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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': 2e-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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| 2.3396 | 0.0444 | 2.7124 | 1.8124 | 0.0331 | 9.4418 | 0 | |
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| 1.7496 | 0.0562 | 3.2708 | 1.6529 | 0.0359 | 9.7805 | 1 | |
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| 1.6254 | 0.0594 | 3.1714 | 1.5874 | 0.0371 | 10.4139 | 2 | |
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| 1.5490 | 0.0615 | 3.0208 | 1.5102 | 0.0382 | 8.2054 | 3 | |
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| 1.4910 | 0.0631 | 2.8298 | 1.4213 | 0.0402 | 8.9930 | 4 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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