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_2en4_b32_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. -->
+
+# wh_4_sun_syl_w_0_lr_2en4_b32_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: 4.3967
+- Train Accuracy: 0.0123
+- Train Wermet: 0.9533
+- Train Wermet Syl: 1.1468
+- Validation Loss: 3.3131
+- Validation Accuracy: 0.0126
+- Validation Wermet: 0.8398
+- Validation Wermet Syl: 0.8514
+- 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': 0.0002, '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 |
+|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
+| 5.2282     | 0.0106         | 3.5001       | 2.7069           | 4.0241          | 0.0114              | 0.9693            | 0.9528                | 0     |
+| 4.7449     | 0.0116         | 0.8928       | 0.8621           | 3.9408          | 0.0114              | 0.9623            | 0.9431                | 1     |
+| 4.7110     | 0.0116         | 0.9319       | 0.9494           | 4.0066          | 0.0114              | 0.9466            | 0.9714                | 2     |
+| 4.6727     | 0.0117         | 0.9059       | 0.9227           | 3.9101          | 0.0114              | 0.9428            | 0.9156                | 3     |
+| 4.6540     | 0.0117         | 0.9103       | 0.9487           | 3.9216          | 0.0115              | 0.9358            | 0.9594                | 4     |
+| 4.6333     | 0.0117         | 0.9864       | 1.1325           | 3.9306          | 0.0115              | 0.9255            | 0.9484                | 5     |
+| 4.6176     | 0.0117         | 0.9803       | 1.1203           | 3.9175          | 0.0115              | 0.9420            | 0.9530                | 6     |
+| 4.5944     | 0.0118         | 1.0060       | 1.1999           | 3.8546          | 0.0115              | 0.9307            | 0.9259                | 7     |
+| 4.5516     | 0.0119         | 0.9620       | 1.1243           | 3.7716          | 0.0117              | 0.8963            | 0.9090                | 8     |
+| 4.3967     | 0.0123         | 0.9533       | 1.1468           | 3.3131          | 0.0126              | 0.8398            | 0.8514                | 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,
+      50363
+    ]
+  ],
+  "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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+    50257
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+      50259
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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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+oid sha256:f4ff06c80e92f841157eb8954a1944e7cdf12d7fa6d9985c9f031b921c921f4d
+size 151253960