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Upload TFWhisperForConditionalGeneration

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  1. README.md +61 -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_new_split_ch_08__0005
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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_new_split_ch_08__0005
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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: 3.0948
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+ - Train Accuracy: 0.0343
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+ - Train Wermet: 0.0859
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+ - Validation Loss: 3.0780
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+ - Validation Accuracy: 0.0341
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+ - Validation Wermet: 0.0021
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+ - Epoch: 4
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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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+ | 5.1494 | 0.0196 | 3.7403 | 4.3409 | 0.0256 | 0.7553 | 0 |
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+ | 4.0236 | 0.0274 | 0.6316 | 3.6960 | 0.0302 | 0.1658 | 1 |
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+ | 3.5216 | 0.0312 | 0.1467 | 3.3497 | 0.0311 | 0.0012 | 2 |
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+ | 3.2259 | 0.0330 | 0.0850 | 3.1532 | 0.0337 | 0.0023 | 3 |
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+ | 3.0948 | 0.0343 | 0.0859 | 3.0780 | 0.0341 | 0.0021 | 4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - TensorFlow 2.13.0
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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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+ "WhisperForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 50257,
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+ "decoder_attention_heads": 6,
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+ "decoder_ffn_dim": 1536,
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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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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.31.0",
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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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