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whisper_charsplit_new_round2__0055

Automatic Speech Recognition
Transformers
TensorFlow
whisper
generated_from_keras_callback
Inference Endpoints
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  1. README.md +111 -0
  2. config.json +64 -0
  3. generation_config.json +117 -0
  4. tf_model.h5 +3 -0
README.md ADDED
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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__0055
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+ results: []
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+ ---
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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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+
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+ # whisper_charsplit_new_round2__0055
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+
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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: 0.0014
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+ - Train Accuracy: 0.0795
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+ - Train Wermet: 7.7408
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+ - Validation Loss: 0.5661
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+ - Validation Accuracy: 0.0769
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+ - Validation Wermet: 7.1664
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+ - Epoch: 54
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+ | 0.0095 | 0.0793 | 8.3244 | 0.5662 | 0.0767 | 6.9524 | 44 |
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+ | 0.0019 | 0.0795 | 7.8491 | 0.5533 | 0.0769 | 6.9541 | 45 |
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+ | 0.0006 | 0.0795 | 8.0596 | 0.5573 | 0.0768 | 6.9489 | 46 |
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+ | 0.0008 | 0.0795 | 8.0277 | 0.5581 | 0.0769 | 6.9081 | 47 |
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+ | 0.0005 | 0.0795 | 7.6084 | 0.5604 | 0.0769 | 6.7158 | 48 |
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+ | 0.0006 | 0.0795 | 8.0561 | 0.5729 | 0.0767 | 7.4189 | 49 |
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+ | 0.0014 | 0.0795 | 8.2875 | 0.5658 | 0.0768 | 7.5768 | 50 |
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+ | 0.0011 | 0.0795 | 8.4376 | 0.5665 | 0.0768 | 7.2469 | 51 |
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+ | 0.0018 | 0.0795 | 8.3093 | 0.5771 | 0.0768 | 7.2637 | 52 |
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+ | 0.0021 | 0.0795 | 7.8370 | 0.5680 | 0.0768 | 7.0030 | 53 |
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+ | 0.0014 | 0.0795 | 7.7408 | 0.5661 | 0.0769 | 7.1664 | 54 |
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+
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+
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+ ### Framework versions
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+
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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
config.json ADDED
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+ "activation_function": "gelu",
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+ "max_target_positions": 448,
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+ "median_filter_width": 7,
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+ "use_cache": true,
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 51865
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+ }
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