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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_syl_cv12_pad_lob100__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_syl_cv12_pad_lob100__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: 0.2444 |
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- Train Accuracy: 0.0343 |
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- Train Wermet: 1.1298 |
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- Validation Loss: 0.6369 |
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- Validation Accuracy: 0.0232 |
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- Validation Wermet: 0.6637 |
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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': 2e-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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| 5.0233 | 0.0115 | 1.6383 | 3.8616 | 0.0117 | 0.9516 | 0 | |
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| 4.4412 | 0.0127 | 0.8560 | 3.5410 | 0.0125 | 0.8971 | 1 | |
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| 4.0719 | 0.0138 | 0.8366 | 3.2944 | 0.0132 | 0.8706 | 2 | |
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| 3.8091 | 0.0146 | 0.8133 | 3.1691 | 0.0134 | 0.8487 | 3 | |
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| 3.6239 | 0.0152 | 0.7866 | 3.0647 | 0.0136 | 0.8282 | 4 | |
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| 3.4749 | 0.0156 | 0.7589 | 2.9835 | 0.0139 | 0.8049 | 5 | |
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| 3.3444 | 0.0161 | 0.7359 | 2.9351 | 0.0140 | 0.7979 | 6 | |
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| 3.2215 | 0.0165 | 0.7138 | 2.8468 | 0.0145 | 0.7589 | 7 | |
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| 3.0754 | 0.0172 | 0.6873 | 2.7530 | 0.0148 | 0.7413 | 8 | |
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| 2.8713 | 0.0181 | 0.6484 | 2.5226 | 0.0157 | 0.7017 | 9 | |
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| 2.5469 | 0.0197 | 0.5934 | 2.1931 | 0.0168 | 0.6285 | 10 | |
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| 2.0233 | 0.0225 | 0.4997 | 1.6411 | 0.0189 | 0.5215 | 11 | |
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| 1.3808 | 0.0264 | 0.3852 | 1.2401 | 0.0205 | 0.4238 | 12 | |
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| 0.9722 | 0.0290 | 0.3123 | 1.0195 | 0.0215 | 0.3682 | 13 | |
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| 0.7388 | 0.0305 | 0.2828 | 0.8773 | 0.0221 | 0.3322 | 14 | |
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| 0.5787 | 0.0317 | 0.2751 | 0.7970 | 0.0225 | 0.3083 | 15 | |
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| 0.4642 | 0.0325 | 0.2878 | 0.7315 | 0.0227 | 0.2964 | 16 | |
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| 0.3752 | 0.0332 | 0.4217 | 0.6897 | 0.0229 | 0.3297 | 17 | |
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| 0.3042 | 0.0338 | 0.7294 | 0.6572 | 0.0231 | 0.4453 | 18 | |
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| 0.2444 | 0.0343 | 1.1298 | 0.6369 | 0.0232 | 0.6637 | 19 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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