Upload TFWhisperForConditionalGeneration

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_keras_callback
+model-index:
+- name: wh_4_sun_syl_w_0_lr_8en5_new_0015
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# wh_4_sun_syl_w_0_lr_8en5_new_0015
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.3395
+- Train Accuracy: 0.0324
+- Train Wermet: 0.0547
+- Train Wermet Syl: 0.0714
+- Validation Loss: 0.8982
+- Validation Accuracy: 0.0218
+- Validation Wermet: 0.2587
+- Validation Wermet Syl: 0.2329
+- Epoch: 14
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 8e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Wermet | Train Wermet Syl | Validation Loss | Validation Accuracy | Validation Wermet | Validation Wermet Syl | Epoch |
+|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
+| 4.9473     | 0.0111         | 1.1332       | 1.0824           | 3.9300          | 0.0113              | 0.9772            | 0.9710                | 0     |
+| 4.6712     | 0.0117         | 0.8506       | 0.8117           | 3.8878          | 0.0115              | 0.9268            | 0.8881                | 1     |
+| 4.6221     | 0.0117         | 0.8367       | 0.7959           | 3.8674          | 0.0115              | 0.9247            | 0.8888                | 2     |
+| 4.5022     | 0.0121         | 0.7836       | 0.7413           | 3.5242          | 0.0123              | 0.8394            | 0.7987                | 3     |
+| 3.7874     | 0.0142         | 0.7029       | 0.6765           | 2.3850          | 0.0149              | 0.6752            | 0.6324                | 4     |
+| 2.5092     | 0.0187         | 0.5239       | 0.5285           | 1.4988          | 0.0182              | 0.4595            | 0.4333                | 5     |
+| 1.7333     | 0.0222         | 0.4129       | 0.4748           | 1.1810          | 0.0197              | 0.3791            | 0.3635                | 6     |
+| 1.2826     | 0.0247         | 0.3217       | 0.3850           | 1.0531          | 0.0203              | 0.3334            | 0.3074                | 7     |
+| 0.9965     | 0.0267         | 0.2482       | 0.3003           | 0.9782          | 0.0209              | 0.3112            | 0.3004                | 8     |
+| 0.8306     | 0.0279         | 0.1937       | 0.2358           | 0.9286          | 0.0212              | 0.2943            | 0.2714                | 9     |
+| 0.6918     | 0.0290         | 0.1522       | 0.1875           | 0.9175          | 0.0213              | 0.2839            | 0.2573                | 10    |
+| 0.5595     | 0.0302         | 0.1177       | 0.1469           | 1.1712          | 0.0199              | 0.2826            | 0.2564                | 11    |
+| 0.4914     | 0.0309         | 0.0907       | 0.1084           | 0.9066          | 0.0215              | 0.2700            | 0.2412                | 12    |
+| 0.4207     | 0.0315         | 0.0735       | 0.0931           | 0.8965          | 0.0217              | 0.2686            | 0.2398                | 13    |
+| 0.3395     | 0.0324         | 0.0547       | 0.0714           | 0.8982          | 0.0218              | 0.2587            | 0.2329                | 14    |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- TensorFlow 2.13.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "openai/whisper-tiny",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
+    50257
+  ],
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 384,
+  "decoder_attention_heads": 6,
+  "decoder_ffn_dim": 1536,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 4,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 6,
+  "encoder_ffn_dim": 1536,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 4,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      50289
+    ],
+    [
+      2,
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+    [
+      3,
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+  ],
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": 448,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 4,
+  "num_mel_bins": 80,
+  "pad_token_id": -100,
+  "scale_embedding": false,
+  "suppress_tokens": [],
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

generation_config.json

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+{
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+  "eos_token_id": 50257,
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+  "pad_token_id": 50257,
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+  "transformers_version": "4.34.0.dev0"
+}

tf_model.h5

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