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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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base_model: openai/whisper-tiny |
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model-index: |
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- name: whisper3_0010 |
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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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# whisper3_0010 |
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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: 0.7159 |
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- Train Accuracy: 0.0297 |
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- Validation Loss: 0.7918 |
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- Validation Accuracy: 0.0300 |
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- Epoch: 9 |
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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 | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 5.0832 | 0.0116 | 4.4298 | 0.0124 | 0 | |
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| 4.3130 | 0.0131 | 4.0733 | 0.0141 | 1 | |
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| 3.9211 | 0.0146 | 3.6762 | 0.0157 | 2 | |
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| 3.5505 | 0.0159 | 3.3453 | 0.0171 | 3 | |
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| 3.1592 | 0.0175 | 2.8062 | 0.0199 | 4 | |
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| 2.2581 | 0.0220 | 1.7622 | 0.0252 | 5 | |
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| 1.4671 | 0.0259 | 1.2711 | 0.0276 | 6 | |
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| 1.0779 | 0.0278 | 1.0220 | 0.0288 | 7 | |
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| 0.8591 | 0.0290 | 0.8836 | 0.0295 | 8 | |
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| 0.7159 | 0.0297 | 0.7918 | 0.0300 | 9 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- TensorFlow 2.9.2 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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