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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__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_new_split_ch_08__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: 2.0288 |
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- Train Accuracy: 0.0397 |
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- Train Wermet: 6.0799 |
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- Validation Loss: 1.9309 |
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- Validation Accuracy: 0.0265 |
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- Validation Wermet: 13.6220 |
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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': 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 | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 2.9538 | 0.0228 | 5.6932 | 2.4237 | 0.0203 | 14.2654 | 0 | |
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| 2.4052 | 0.0321 | 6.0897 | 2.1989 | 0.0229 | 15.5551 | 1 | |
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| 2.2222 | 0.0358 | 6.1102 | 2.0871 | 0.0245 | 13.4374 | 2 | |
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| 2.1102 | 0.0380 | 6.0428 | 1.9986 | 0.0253 | 13.7934 | 3 | |
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| 2.0288 | 0.0397 | 6.0799 | 1.9309 | 0.0265 | 13.6220 | 4 | |
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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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