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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_charsplit_new_round2__0044 |
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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_charsplit_new_round2__0044 |
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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: 0.0001 |
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- Train Accuracy: 0.0795 |
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- Train Wermet: 7.9155 |
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- Validation Loss: 0.5752 |
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- Validation Accuracy: 0.0769 |
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- Validation Wermet: 6.4900 |
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- Epoch: 43 |
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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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| 0.0010 | 0.0795 | 8.7507 | 0.5575 | 0.0767 | 7.6778 | 0 | |
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| 0.0013 | 0.0795 | 8.9468 | 0.5652 | 0.0766 | 8.3360 | 1 | |
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| 0.0025 | 0.0795 | 8.7338 | 0.5673 | 0.0765 | 8.3770 | 2 | |
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| 0.0019 | 0.0795 | 8.9450 | 0.5623 | 0.0766 | 7.7117 | 3 | |
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| 0.0011 | 0.0795 | 8.9053 | 0.5609 | 0.0767 | 7.5155 | 4 | |
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| 0.0012 | 0.0795 | 8.8862 | 0.5667 | 0.0767 | 8.2913 | 5 | |
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| 0.0009 | 0.0795 | 8.7510 | 0.5642 | 0.0766 | 7.9083 | 6 | |
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| 0.0037 | 0.0795 | 9.3428 | 0.5717 | 0.0764 | 8.2631 | 7 | |
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| 0.0031 | 0.0795 | 9.2135 | 0.5636 | 0.0766 | 8.2384 | 8 | |
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| 0.0011 | 0.0795 | 8.9730 | 0.5605 | 0.0767 | 8.3958 | 9 | |
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| 0.0005 | 0.0795 | 9.3749 | 0.5552 | 0.0768 | 8.0800 | 10 | |
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| 0.0003 | 0.0795 | 9.3340 | 0.5584 | 0.0768 | 8.1322 | 11 | |
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| 0.0005 | 0.0795 | 9.2292 | 0.5687 | 0.0767 | 8.5576 | 12 | |
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| 0.0037 | 0.0795 | 9.2838 | 0.5751 | 0.0765 | 7.4189 | 13 | |
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| 0.0038 | 0.0795 | 8.7270 | 0.5605 | 0.0767 | 7.7098 | 14 | |
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| 0.0012 | 0.0795 | 8.8259 | 0.5563 | 0.0768 | 8.2647 | 15 | |
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| 0.0005 | 0.0795 | 9.0553 | 0.5620 | 0.0768 | 8.5020 | 16 | |
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| 0.0004 | 0.0795 | 9.1734 | 0.5607 | 0.0768 | 8.0252 | 17 | |
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| 0.0003 | 0.0795 | 9.0084 | 0.5571 | 0.0769 | 8.1563 | 18 | |
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| 0.0014 | 0.0795 | 8.7153 | 0.5804 | 0.0765 | 7.8654 | 19 | |
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| 0.0058 | 0.0794 | 8.8460 | 0.5706 | 0.0766 | 7.4342 | 20 | |
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| 0.0020 | 0.0795 | 8.6599 | 0.5612 | 0.0767 | 7.7369 | 21 | |
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| 0.0007 | 0.0795 | 8.6456 | 0.5543 | 0.0768 | 7.4625 | 22 | |
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| 0.0008 | 0.0795 | 8.3246 | 0.5620 | 0.0768 | 7.4475 | 23 | |
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| 0.0012 | 0.0795 | 7.9451 | 0.5615 | 0.0768 | 7.0907 | 24 | |
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| 0.0025 | 0.0795 | 8.1065 | 0.5619 | 0.0768 | 7.7020 | 25 | |
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| 0.0011 | 0.0795 | 8.4237 | 0.5710 | 0.0768 | 7.4035 | 26 | |
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| 0.0009 | 0.0795 | 8.3074 | 0.5641 | 0.0768 | 7.1747 | 27 | |
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| 0.0007 | 0.0795 | 8.5183 | 0.5688 | 0.0768 | 7.4310 | 28 | |
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| 0.0014 | 0.0795 | 8.6604 | 0.5750 | 0.0767 | 8.0751 | 29 | |
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| 0.0022 | 0.0795 | 8.2353 | 0.5789 | 0.0767 | 7.4442 | 30 | |
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| 0.0019 | 0.0795 | 8.6037 | 0.5715 | 0.0767 | 7.6157 | 31 | |
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| 0.0009 | 0.0795 | 8.4768 | 0.5611 | 0.0769 | 7.6392 | 32 | |
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| 0.0005 | 0.0795 | 8.2728 | 0.5669 | 0.0768 | 7.1451 | 33 | |
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| 0.0010 | 0.0795 | 8.1006 | 0.5918 | 0.0766 | 7.4447 | 34 | |
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| 0.0036 | 0.0795 | 8.9171 | 0.5687 | 0.0767 | 7.6962 | 35 | |
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| 0.0018 | 0.0795 | 8.4062 | 0.5713 | 0.0768 | 7.2127 | 36 | |
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| 0.0012 | 0.0795 | 8.3370 | 0.5683 | 0.0768 | 7.1040 | 37 | |
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| 0.0005 | 0.0795 | 7.9931 | 0.5658 | 0.0769 | 6.8043 | 38 | |
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| 0.0002 | 0.0795 | 7.9500 | 0.5660 | 0.0769 | 7.0891 | 39 | |
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| 0.0001 | 0.0795 | 8.1912 | 0.5632 | 0.0770 | 7.1929 | 40 | |
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| 0.0001 | 0.0795 | 8.2484 | 0.5678 | 0.0769 | 7.6993 | 41 | |
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| 0.0001 | 0.0795 | 8.2925 | 0.5648 | 0.0770 | 7.1917 | 42 | |
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| 0.0001 | 0.0795 | 7.9155 | 0.5752 | 0.0769 | 6.4900 | 43 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- TensorFlow 2.12.0 |
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- Tokenizers 0.13.3 |
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