Upload TFWhisperForConditionalGeneration

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_keras_callback
+model-index:
+- name: whisper_charsplit_new_round2__0025
+  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_charsplit_new_round2__0025
+
+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: 0.0012
+- Train Accuracy: 0.0795
+- Train Wermet: 7.9451
+- Validation Loss: 0.5615
+- Validation Accuracy: 0.0768
+- Validation Wermet: 7.0907
+- Epoch: 24
+
+## 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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
+|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
+| 0.0010     | 0.0795         | 8.7507       | 0.5575          | 0.0767              | 7.6778            | 0     |
+| 0.0013     | 0.0795         | 8.9468       | 0.5652          | 0.0766              | 8.3360            | 1     |
+| 0.0025     | 0.0795         | 8.7338       | 0.5673          | 0.0765              | 8.3770            | 2     |
+| 0.0019     | 0.0795         | 8.9450       | 0.5623          | 0.0766              | 7.7117            | 3     |
+| 0.0011     | 0.0795         | 8.9053       | 0.5609          | 0.0767              | 7.5155            | 4     |
+| 0.0012     | 0.0795         | 8.8862       | 0.5667          | 0.0767              | 8.2913            | 5     |
+| 0.0009     | 0.0795         | 8.7510       | 0.5642          | 0.0766              | 7.9083            | 6     |
+| 0.0037     | 0.0795         | 9.3428       | 0.5717          | 0.0764              | 8.2631            | 7     |
+| 0.0031     | 0.0795         | 9.2135       | 0.5636          | 0.0766              | 8.2384            | 8     |
+| 0.0011     | 0.0795         | 8.9730       | 0.5605          | 0.0767              | 8.3958            | 9     |
+| 0.0005     | 0.0795         | 9.3749       | 0.5552          | 0.0768              | 8.0800            | 10    |
+| 0.0003     | 0.0795         | 9.3340       | 0.5584          | 0.0768              | 8.1322            | 11    |
+| 0.0005     | 0.0795         | 9.2292       | 0.5687          | 0.0767              | 8.5576            | 12    |
+| 0.0037     | 0.0795         | 9.2838       | 0.5751          | 0.0765              | 7.4189            | 13    |
+| 0.0038     | 0.0795         | 8.7270       | 0.5605          | 0.0767              | 7.7098            | 14    |
+| 0.0012     | 0.0795         | 8.8259       | 0.5563          | 0.0768              | 8.2647            | 15    |
+| 0.0005     | 0.0795         | 9.0553       | 0.5620          | 0.0768              | 8.5020            | 16    |
+| 0.0004     | 0.0795         | 9.1734       | 0.5607          | 0.0768              | 8.0252            | 17    |
+| 0.0003     | 0.0795         | 9.0084       | 0.5571          | 0.0769              | 8.1563            | 18    |
+| 0.0014     | 0.0795         | 8.7153       | 0.5804          | 0.0765              | 7.8654            | 19    |
+| 0.0058     | 0.0794         | 8.8460       | 0.5706          | 0.0766              | 7.4342            | 20    |
+| 0.0020     | 0.0795         | 8.6599       | 0.5612          | 0.0767              | 7.7369            | 21    |
+| 0.0007     | 0.0795         | 8.6456       | 0.5543          | 0.0768              | 7.4625            | 22    |
+| 0.0008     | 0.0795         | 8.3246       | 0.5620          | 0.0768              | 7.4475            | 23    |
+| 0.0012     | 0.0795         | 7.9451       | 0.5615          | 0.0768              | 7.0907            | 24    |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- TensorFlow 2.12.0
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,64 @@
+{
+  "_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": 50257,
+  "scale_embedding": false,
+  "suppress_tokens": [],
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0.dev0",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

generation_config.json

@@ -0,0 +1,117 @@
+{
+  "_from_model_config": true,
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      50259
+    ],
+    [
+      2,
+      50359
+    ],
+    [
+      3,
+      50363
+    ]
+  ],
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "suppress_tokens": [
+    1,
+    2,
+    7,
+    8,
+    9,
+    10,
+    14,
+    25,
+    26,
+    27,
+    28,
+    29,
+    31,
+    58,
+    59,
+    60,
+    61,
+    62,
+    63,
+    90,
+    91,
+    92,
+    93,
+    359,
+    503,
+    522,
+    542,
+    873,
+    893,
+    902,
+    918,
+    922,
+    931,
+    1350,
+    1853,
+    1982,
+    2460,
+    2627,
+    3246,
+    3253,
+    3268,
+    3536,
+    3846,
+    3961,
+    4183,
+    4667,
+    6585,
+    6647,
+    7273,
+    9061,
+    9383,
+    10428,
+    10929,
+    11938,
+    12033,
+    12331,
+    12562,
+    13793,
+    14157,
+    14635,
+    15265,
+    15618,
+    16553,
+    16604,
+    18362,
+    18956,
+    20075,
+    21675,
+    22520,
+    26130,
+    26161,
+    26435,
+    28279,
+    29464,
+    31650,
+    32302,
+    32470,
+    36865,
+    42863,
+    47425,
+    49870,
+    50254,
+    50258,
+    50358,
+    50359,
+    50360,
+    50361,
+    50362
+  ],
+  "transformers_version": "4.32.0.dev0"
+}

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:799068d6ab94fa359a76ba39894ba373aa4bc2accde1783159ed8099ac83bb87
+size 151253960