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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_havest_0035 |
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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_havest_0035 |
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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: 3.5897 |
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- Train Accuracy: 0.0150 |
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- Train Do Wer: 1.0 |
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- Validation Loss: 4.5822 |
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- Validation Accuracy: 0.0130 |
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- Validation Do Wer: 1.0 |
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- Epoch: 34 |
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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 Do Wer | Validation Loss | Validation Accuracy | Validation Do Wer | Epoch | |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:| |
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| 9.9191 | 0.0046 | 1.0 | 8.5836 | 0.0067 | 1.0 | 0 | |
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| 8.0709 | 0.0083 | 1.0 | 7.4667 | 0.0089 | 1.0 | 1 | |
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| 7.1652 | 0.0100 | 1.0 | 6.8204 | 0.0112 | 1.0 | 2 | |
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| 6.7196 | 0.0114 | 1.0 | 6.5192 | 0.0114 | 1.0 | 3 | |
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| 6.4115 | 0.0115 | 1.0 | 6.2357 | 0.0115 | 1.0 | 4 | |
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| 6.1085 | 0.0115 | 1.0 | 5.9657 | 0.0115 | 1.0 | 5 | |
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| 5.8206 | 0.0115 | 1.0 | 5.7162 | 0.0115 | 1.0 | 6 | |
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| 5.5567 | 0.0115 | 1.0 | 5.4963 | 0.0115 | 1.0 | 7 | |
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| 5.3223 | 0.0116 | 1.0 | 5.3096 | 0.0116 | 1.0 | 8 | |
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| 5.1222 | 0.0117 | 1.0 | 5.1600 | 0.0117 | 1.0 | 9 | |
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| 4.9580 | 0.0117 | 1.0 | 5.0391 | 0.0118 | 1.0 | 10 | |
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| 4.8251 | 0.0119 | 1.0 | 4.9427 | 0.0118 | 1.0 | 11 | |
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| 4.7171 | 0.0119 | 1.0 | 4.8691 | 0.0119 | 1.0 | 12 | |
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| 4.6284 | 0.0121 | 1.0 | 4.8123 | 0.0120 | 1.0 | 13 | |
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| 4.5508 | 0.0121 | 1.0 | 4.7620 | 0.0121 | 1.0 | 14 | |
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| 4.4855 | 0.0123 | 1.0 | 4.7260 | 0.0121 | 1.0 | 15 | |
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| 4.4305 | 0.0124 | 1.0 | 4.7018 | 0.0123 | 1.0 | 16 | |
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| 4.3788 | 0.0125 | 1.0 | 4.6738 | 0.0123 | 1.0 | 17 | |
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| 4.3305 | 0.0127 | 1.0 | 4.6525 | 0.0124 | 1.0 | 18 | |
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| 4.2860 | 0.0128 | 1.0 | 4.6401 | 0.0125 | 1.0 | 19 | |
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| 4.2451 | 0.0130 | 1.0 | 4.6234 | 0.0126 | 1.0 | 20 | |
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| 4.1994 | 0.0132 | 1.0 | 4.6077 | 0.0128 | 1.0 | 21 | |
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| 4.1521 | 0.0133 | 1.0 | 4.6098 | 0.0129 | 1.0 | 22 | |
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| 4.1148 | 0.0134 | 1.0 | 4.5919 | 0.0129 | 1.0 | 23 | |
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| 4.0701 | 0.0135 | 1.0 | 4.6038 | 0.0128 | 1.0 | 24 | |
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| 4.0199 | 0.0137 | 1.0 | 4.5777 | 0.0130 | 1.0 | 25 | |
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| 3.9631 | 0.0138 | 1.0 | 4.5734 | 0.0131 | 1.0 | 26 | |
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| 3.9175 | 0.0140 | 1.0 | 4.5866 | 0.0129 | 1.0 | 27 | |
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| 3.8690 | 0.0142 | 1.0 | 4.5900 | 0.0129 | 1.0 | 28 | |
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| 3.8276 | 0.0143 | 1.0 | 4.5602 | 0.0131 | 1.0 | 29 | |
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| 3.7499 | 0.0145 | 1.0 | 4.5619 | 0.0132 | 1.0 | 30 | |
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| 3.6968 | 0.0147 | 1.0 | 4.6203 | 0.0133 | 1.0 | 31 | |
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| 3.6714 | 0.0149 | 1.0 | 4.7075 | 0.0133 | 1.0 | 32 | |
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| 3.6318 | 0.0149 | 1.0 | 4.6638 | 0.0125 | 1.0 | 33 | |
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| 3.5897 | 0.0150 | 1.0 | 4.5822 | 0.0130 | 1.0 | 34 | |
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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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