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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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model-index: |
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- name: whisper_wermet_nosup_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_wermet_nosup_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: 0.4694 |
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- Train Accuracy: 0.0303 |
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- Train Wermet: 4.3895 |
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- Validation Loss: 0.6038 |
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- Validation Accuracy: 0.0304 |
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- Validation Wermet: 2.8294 |
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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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| 5.0729 | 0.0113 | 42.1824 | 4.4421 | 0.0120 | 27.3059 | 0 | |
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| 4.3249 | 0.0126 | 23.9224 | 4.0443 | 0.0141 | 18.2054 | 1 | |
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| 3.8845 | 0.0144 | 12.7780 | 3.4577 | 0.0169 | 10.3356 | 2 | |
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| 2.7411 | 0.0198 | 15.0018 | 1.8774 | 0.0244 | 14.5666 | 3 | |
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| 1.5621 | 0.0250 | 9.7248 | 1.2443 | 0.0273 | 5.4731 | 4 | |
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| 1.0745 | 0.0272 | 7.1512 | 0.9802 | 0.0285 | 4.4745 | 5 | |
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| 0.8261 | 0.0284 | 6.2358 | 0.8209 | 0.0293 | 5.6600 | 6 | |
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| 0.6673 | 0.0292 | 5.8338 | 0.7182 | 0.0298 | 4.0874 | 7 | |
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| 0.5548 | 0.0298 | 5.0555 | 0.6489 | 0.0301 | 4.4537 | 8 | |
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| 0.4694 | 0.0303 | 4.3895 | 0.6038 | 0.0304 | 2.8294 | 9 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- TensorFlow 2.11.0 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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