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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_suppress__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_suppress__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: 1.4953 |
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- Train Accuracy: 0.0631 |
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- Train Wermet: 1.8208 |
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- Validation Loss: 1.4549 |
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- Validation Accuracy: 0.0397 |
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- Validation Wermet: 4.4667 |
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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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| 2.3569 | 0.0439 | 2.6429 | 1.7869 | 0.0339 | 10.1374 | 0 | |
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| 1.7502 | 0.0561 | 3.2762 | 1.6607 | 0.0360 | 9.6159 | 1 | |
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| 1.6268 | 0.0595 | 3.0493 | 1.5698 | 0.0374 | 8.6767 | 2 | |
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| 1.5533 | 0.0614 | 2.3917 | 1.4965 | 0.0387 | 7.2278 | 3 | |
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| 1.4953 | 0.0631 | 1.8208 | 1.4549 | 0.0397 | 4.4667 | 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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