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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_train_on_validated_cv_model__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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# whisper_train_on_validated_cv_model__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: 0.7076 |
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- Train Accuracy: 0.0654 |
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- Train Wermet: 4.9157 |
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- Validation Loss: 0.7312 |
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- Validation Accuracy: 0.0627 |
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- Validation Wermet: 4.2416 |
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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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| 2.2992 | 0.0331 | 6.3187 | 1.9677 | 0.0372 | 7.2782 | 0 | |
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| 1.7447 | 0.0431 | 5.6345 | 1.7865 | 0.0408 | 6.3969 | 1 | |
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| 1.5036 | 0.0480 | 5.6512 | 1.4821 | 0.0468 | 5.1810 | 2 | |
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| 1.0955 | 0.0567 | 4.4606 | 1.0492 | 0.0557 | 3.7886 | 3 | |
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| 0.7076 | 0.0654 | 4.9157 | 0.7312 | 0.0627 | 4.2416 | 4 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- TensorFlow 2.12.0 |
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- Tokenizers 0.13.3 |
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