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_b32_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_b32_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: 1.7258
+- Train Accuracy: 0.0223
+- Train Wermet: 0.5356
+- Train Wermet Syl: 0.7426
+- Validation Loss: 1.4314
+- Validation Accuracy: 0.0186
+- Validation Wermet: 0.4270
+- Validation Wermet Syl: 0.4029
+- 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 |
+|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
+| 5.2081     | 0.0105         | 1.5151       | 1.1936           | 4.0143          | 0.0113              | 0.9817            | 0.9765                | 0     |
+| 4.7532     | 0.0116         | 0.8756       | 0.8371           | 3.9494          | 0.0114              | 0.9457            | 0.9171                | 1     |
+| 4.7031     | 0.0117         | 0.8615       | 0.8175           | 3.9244          | 0.0114              | 0.9383            | 0.8993                | 2     |
+| 4.6799     | 0.0117         | 0.8569       | 0.8117           | 3.9091          | 0.0114              | 0.9659            | 0.9487                | 3     |
+| 4.6415     | 0.0117         | 0.8450       | 0.7985           | 3.8828          | 0.0115              | 0.9227            | 0.8867                | 4     |
+| 4.6194     | 0.0118         | 0.8366       | 0.7901           | 3.8588          | 0.0115              | 0.9314            | 0.8973                | 5     |
+| 4.5993     | 0.0118         | 0.8253       | 0.7803           | 3.9068          | 0.0116              | 0.9000            | 0.8526                | 6     |
+| 4.5584     | 0.0120         | 0.7864       | 0.7455           | 3.7567          | 0.0118              | 0.8407            | 0.7907                | 7     |
+| 4.4423     | 0.0123         | 0.7655       | 0.7209           | 3.5099          | 0.0123              | 0.8256            | 0.7786                | 8     |
+| 4.0719     | 0.0133         | 0.7479       | 0.7112           | 2.9385          | 0.0135              | 0.7636            | 0.7193                | 9     |
+| 3.5177     | 0.0148         | 0.7049       | 0.6917           | 2.4295          | 0.0148              | 0.6907            | 0.6559                | 10    |
+| 2.8931     | 0.0170         | 0.6532       | 0.6928           | 2.0341          | 0.0161              | 0.6031            | 0.5778                | 11    |
+| 2.4018     | 0.0190         | 0.6050       | 0.7024           | 1.7053          | 0.0174              | 0.5373            | 0.5223                | 12    |
+| 1.9940     | 0.0210         | 0.5579       | 0.7168           | 1.5422          | 0.0180              | 0.4803            | 0.4793                | 13    |
+| 1.7258     | 0.0223         | 0.5356       | 0.7426           | 1.4314          | 0.0186              | 0.4270            | 0.4029                | 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,
+      50359
+    ],
+    [
+      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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+size 151253960