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: whisper_4_with_init_sun_syl_wd_0_lr_3en4_0010
+  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. -->
+
+# whisper_4_with_init_sun_syl_wd_0_lr_3en4_0010
+
+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: 1.2715
+- Train Accuracy: 0.0246
+- Train Wermet: 0.5866
+- Train Wermet Syl: 0.8432
+- Validation Loss: 1.2543
+- Validation Accuracy: 0.0196
+- Validation Wermet: 0.4646
+- Validation Wermet Syl: 0.5397
+- Epoch: 9
+
+## 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': 0.0003, '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 |
+|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
+| 4.9621     | 0.0111         | 1.3737       | 1.2531           | 3.9542          | 0.0114              | 0.9773            | 0.9699                | 0     |
+| 4.6813     | 0.0116         | 0.9321       | 0.9542           | 3.9070          | 0.0114              | 0.9669            | 0.9552                | 1     |
+| 4.6267     | 0.0117         | 0.9053       | 0.9424           | 3.9109          | 0.0114              | 0.9465            | 0.9128                | 2     |
+| 4.5866     | 0.0118         | 0.8961       | 0.9453           | 3.8787          | 0.0115              | 0.9210            | 0.8988                | 3     |
+| 4.5246     | 0.0119         | 0.9086       | 1.0238           | 3.8947          | 0.0113              | 0.9346            | 0.8618                | 4     |
+| 4.0723     | 0.0131         | 0.9445       | 1.1479           | 2.8783          | 0.0135              | 0.8293            | 0.9656                | 5     |
+| 2.9304     | 0.0167         | 1.1693       | 1.7199           | 1.7990          | 0.0168              | 0.5867            | 0.6425                | 6     |
+| 2.0844     | 0.0201         | 0.8414       | 1.1849           | 1.5133          | 0.0180              | 0.5178            | 0.5473                | 7     |
+| 1.6228     | 0.0225         | 0.7801       | 1.0964           | 1.3701          | 0.0189              | 0.4690            | 0.5092                | 8     |
+| 1.2715     | 0.0246         | 0.5866       | 0.8432           | 1.2543          | 0.0196              | 0.4646            | 0.5397                | 9     |
+
+
+### 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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+  "transformers_version": "4.34.0.dev0"
+}

tf_model.h5

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+size 151253960