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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_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_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: 0.5820 |
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- Train Accuracy: 0.0305 |
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- Train Wermet: 1.5323 |
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- Validation Loss: 0.6980 |
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- Validation Accuracy: 0.0305 |
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- Validation Wermet: 1.1238 |
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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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| 5.0795 | 0.0116 | 43.8776 | 4.4395 | 0.0122 | 35.4119 | 0 | |
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| 4.3059 | 0.0131 | 29.7976 | 4.0311 | 0.0143 | 26.0070 | 1 | |
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| 3.8871 | 0.0148 | 19.3999 | 3.6500 | 0.0158 | 19.2186 | 2 | |
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| 3.0943 | 0.0184 | 18.3704 | 2.3327 | 0.0226 | 22.5034 | 3 | |
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| 1.8954 | 0.0240 | 16.2471 | 1.4889 | 0.0266 | 14.2782 | 4 | |
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| 1.2781 | 0.0269 | 8.4169 | 1.1273 | 0.0283 | 7.4581 | 5 | |
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| 0.9797 | 0.0283 | 4.8739 | 0.9481 | 0.0292 | 3.9451 | 6 | |
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| 0.8006 | 0.0293 | 2.7433 | 0.8371 | 0.0297 | 2.3065 | 7 | |
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| 0.6764 | 0.0299 | 2.1646 | 0.7554 | 0.0301 | 1.3005 | 8 | |
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| 0.5820 | 0.0305 | 1.5323 | 0.6980 | 0.0305 | 1.1238 | 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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