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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_new_split_ch_08__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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# whisper_new_split_ch_08__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: 3.5190 |
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- Train Accuracy: 0.0142 |
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- Train Wermet: 6.2910 |
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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 | Train Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:-----:| |
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| 7.0502 | 0.0020 | 5.6150 | 0 | |
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| 5.6527 | 0.0046 | 11.3162 | 1 | |
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| 4.8654 | 0.0085 | 4.8190 | 2 | |
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| 4.4295 | 0.0107 | 5.4574 | 3 | |
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| 4.1588 | 0.0111 | 6.9059 | 4 | |
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| 3.9861 | 0.0112 | 6.9104 | 5 | |
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| 3.8010 | 0.0121 | 6.8845 | 6 | |
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| 3.6776 | 0.0124 | 6.9533 | 7 | |
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| 3.5939 | 0.0135 | 6.6166 | 8 | |
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| 3.5190 | 0.0142 | 6.2910 | 9 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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