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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: 2.8290 |
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- Train Accuracy: 0.0380 |
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- Train Wermet: 0.1529 |
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- Validation Loss: 2.8448 |
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- Validation Accuracy: 0.0369 |
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- Validation Wermet: 0.0515 |
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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 | Validation Loss | Validation Accuracy | Validation Wermet | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 5.1494 | 0.0196 | 3.7403 | 4.3409 | 0.0256 | 0.7553 | 0 | |
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| 4.0236 | 0.0274 | 0.6316 | 3.6960 | 0.0302 | 0.1658 | 1 | |
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| 3.5216 | 0.0312 | 0.1467 | 3.3497 | 0.0311 | 0.0012 | 2 | |
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| 3.2259 | 0.0330 | 0.0850 | 3.1532 | 0.0337 | 0.0023 | 3 | |
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| 3.0948 | 0.0343 | 0.0859 | 3.0780 | 0.0341 | 0.0021 | 4 | |
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| 3.0263 | 0.0346 | 0.0848 | 3.0221 | 0.0343 | 0.0019 | 5 | |
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| 2.9743 | 0.0354 | 0.0865 | 2.9779 | 0.0347 | 0.0045 | 6 | |
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| 2.9255 | 0.0361 | 0.0990 | 2.9337 | 0.0352 | 0.0174 | 7 | |
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| 2.8788 | 0.0367 | 0.1068 | 2.8909 | 0.0365 | 0.0365 | 8 | |
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| 2.8290 | 0.0380 | 0.1529 | 2.8448 | 0.0369 | 0.0515 | 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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