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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_nosp_0020 |
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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_nosp_0020 |
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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: 0.1825 |
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- Train Accuracy: 0.0228 |
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- Validation Loss: 0.8115 |
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- Validation Accuracy: 0.0203 |
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- Epoch: 19 |
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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 | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 7.5559 | 0.0010 | 6.3853 | 0.0013 | 0 | |
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| 6.3227 | 0.0021 | 5.7023 | 0.0038 | 1 | |
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| 4.9825 | 0.0063 | 3.6302 | 0.0109 | 2 | |
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| 2.9413 | 0.0126 | 2.1959 | 0.0154 | 3 | |
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| 1.9349 | 0.0157 | 1.6630 | 0.0172 | 4 | |
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| 1.4741 | 0.0171 | 1.3813 | 0.0181 | 5 | |
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| 1.1975 | 0.0181 | 1.2161 | 0.0186 | 6 | |
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| 1.0048 | 0.0188 | 1.0990 | 0.0191 | 7 | |
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| 0.8598 | 0.0194 | 1.0165 | 0.0194 | 8 | |
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| 0.7431 | 0.0199 | 0.9603 | 0.0196 | 9 | |
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| 0.6489 | 0.0203 | 0.9106 | 0.0198 | 10 | |
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| 0.5682 | 0.0207 | 0.8787 | 0.0199 | 11 | |
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| 0.4985 | 0.0210 | 0.8548 | 0.0200 | 12 | |
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| 0.4372 | 0.0213 | 0.8352 | 0.0201 | 13 | |
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| 0.3829 | 0.0216 | 0.8190 | 0.0202 | 14 | |
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| 0.3327 | 0.0219 | 0.8148 | 0.0202 | 15 | |
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| 0.2904 | 0.0221 | 0.8139 | 0.0202 | 16 | |
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| 0.2492 | 0.0224 | 0.8188 | 0.0202 | 17 | |
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| 0.2140 | 0.0226 | 0.8146 | 0.0203 | 18 | |
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| 0.1825 | 0.0228 | 0.8115 | 0.0203 | 19 | |
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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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