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Upload TFWhisperForConditionalGeneration

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  1. README.md +62 -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_0006
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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_0006
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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: 0.2886
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+ - Train Accuracy: 0.0729
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+ - Train Wermet: 11.5171
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+ - Validation Loss: 0.3403
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+ - Validation Accuracy: 0.0745
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+ - Validation Wermet: 9.8042
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+ - Epoch: 5
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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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+ | 0.8733 | 0.0602 | 13.0686 | 0.6470 | 0.0676 | 11.4066 | 0 |
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+ | 0.5740 | 0.0666 | 12.7778 | 0.5113 | 0.0706 | 11.1022 | 1 |
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+ | 0.4553 | 0.0692 | 12.2404 | 0.4371 | 0.0723 | 10.9105 | 2 |
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+ | 0.3813 | 0.0708 | 11.9157 | 0.3935 | 0.0733 | 9.4615 | 3 |
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+ | 0.3292 | 0.0720 | 11.5732 | 0.3630 | 0.0740 | 9.9885 | 4 |
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+ | 0.2886 | 0.0729 | 11.5171 | 0.3403 | 0.0745 | 9.8042 | 5 |
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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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+ "_name_or_path": "openai/whisper-tiny",
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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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+ ],
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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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+ "num_mel_bins": 80,
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+ "pad_token_id": 50257,
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+ "torch_dtype": "float32",
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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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