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Upload TFWhisperForConditionalGeneration

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  1. README.md +69 -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__0013
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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__0013
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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: 0.0005
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+ - Train Accuracy: 0.0795
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+ - Train Wermet: 9.2292
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+ - Validation Loss: 0.5687
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+ - Validation Accuracy: 0.0767
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+ - Validation Wermet: 8.5576
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+ - Epoch: 12
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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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+
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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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+ {
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "apply_spec_augment": false,
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+ "architectures": [
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+ "WhisperForConditionalGeneration"
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+ ],
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+ "median_filter_width": 7,
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+ "model_type": "whisper",
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+ "num_hidden_layers": 4,
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+ }
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