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whisper_4_with_init_sun_syl_wd_0__0090

Automatic Speech Recognition
Transformers
TensorFlow
whisper
generated_from_keras_callback
Inference Endpoints
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Upload TFWhisperForConditionalGeneration

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  1. README.md +148 -0
  2. config.json +64 -0
  3. generation_config.json +117 -0
  4. tf_model.h5 +3 -0
README.md ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: whisper_4_with_init_sun_syl_wd_0__0090
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # whisper_4_with_init_sun_syl_wd_0__0090
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0943
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+ - Train Accuracy: 0.0356
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+ - Train Wermet: 0.0118
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+ - Train Wermet Syl: 0.0159
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+ - Validation Loss: 1.2876
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+ - Validation Accuracy: 0.0208
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+ - Validation Wermet: 0.3252
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+ - Validation Wermet Syl: 0.2884
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+ - Epoch: 89
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - 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}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Train Accuracy | Train Wermet | Train Wermet Syl | Validation Loss | Validation Accuracy | Validation Wermet | Validation Wermet Syl | Epoch |
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+ |:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
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+ | 5.3409 | 0.0111 | 1.3547 | 1.2898 | 3.9789 | 0.0114 | 0.9710 | 0.9563 | 0 |
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+ | 4.7143 | 0.0116 | 0.8622 | 0.8228 | 3.9404 | 0.0113 | 0.9823 | 0.9735 | 1 |
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+ | 4.6752 | 0.0117 | 0.8472 | 0.8057 | 3.9081 | 0.0114 | 0.9579 | 0.9359 | 2 |
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+ | 4.6500 | 0.0117 | 0.8382 | 0.7945 | 3.8820 | 0.0115 | 0.9213 | 0.8856 | 3 |
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+ | 4.6282 | 0.0118 | 0.8286 | 0.7805 | 3.8738 | 0.0114 | 0.9433 | 0.9119 | 4 |
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+ | 4.6095 | 0.0118 | 0.8190 | 0.7696 | 3.8630 | 0.0115 | 0.9117 | 0.8698 | 5 |
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+ | 4.5875 | 0.0119 | 0.7976 | 0.7465 | 3.8341 | 0.0116 | 0.8976 | 0.8552 | 6 |
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+ | 4.5682 | 0.0120 | 0.7753 | 0.7227 | 3.8277 | 0.0116 | 0.9014 | 0.8653 | 7 |
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+ | 4.5376 | 0.0121 | 0.7528 | 0.7005 | 3.7844 | 0.0118 | 0.8332 | 0.7815 | 8 |
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+ | 4.5060 | 0.0122 | 0.7392 | 0.6844 | 3.7537 | 0.0118 | 0.8578 | 0.8152 | 9 |
62
+ | 4.4580 | 0.0124 | 0.7221 | 0.6694 | 3.7038 | 0.0120 | 0.8190 | 0.7679 | 10 |
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+ | 4.3989 | 0.0125 | 0.7156 | 0.6636 | 3.6169 | 0.0122 | 0.7979 | 0.7429 | 11 |
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+ | 4.3056 | 0.0128 | 0.7069 | 0.6557 | 3.5098 | 0.0125 | 0.7924 | 0.7396 | 12 |
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+ | 4.1673 | 0.0132 | 0.7054 | 0.6584 | 3.3542 | 0.0128 | 0.7759 | 0.7240 | 13 |
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+ | 3.9762 | 0.0138 | 0.6987 | 0.6559 | 3.1318 | 0.0133 | 0.7644 | 0.7231 | 14 |
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+ | 3.7385 | 0.0145 | 0.6835 | 0.6448 | 2.9144 | 0.0138 | 0.7392 | 0.6955 | 15 |
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+ | 3.5040 | 0.0152 | 0.6644 | 0.6298 | 2.7413 | 0.0142 | 0.7019 | 0.6548 | 16 |
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+ | 3.2728 | 0.0160 | 0.6408 | 0.6101 | 2.5183 | 0.0149 | 0.6798 | 0.6363 | 17 |
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+ | 3.0657 | 0.0167 | 0.6188 | 0.5912 | 2.3594 | 0.0153 | 0.6528 | 0.6103 | 18 |
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+ | 2.8703 | 0.0174 | 0.5936 | 0.5685 | 2.2644 | 0.0156 | 0.6310 | 0.5925 | 19 |
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+ | 2.6850 | 0.0181 | 0.5680 | 0.5453 | 2.1296 | 0.0160 | 0.6040 | 0.5652 | 20 |
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+ | 2.5227 | 0.0188 | 0.5423 | 0.5215 | 2.0019 | 0.0165 | 0.5793 | 0.5403 | 21 |
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+ | 2.3878 | 0.0194 | 0.5199 | 0.5015 | 1.8996 | 0.0169 | 0.5592 | 0.5229 | 22 |
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+ | 2.2437 | 0.0201 | 0.4959 | 0.4788 | 1.8141 | 0.0172 | 0.5414 | 0.5045 | 23 |
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+ | 2.1205 | 0.0207 | 0.4752 | 0.4607 | 1.7245 | 0.0175 | 0.5208 | 0.4838 | 24 |
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+ | 1.9919 | 0.0213 | 0.4533 | 0.4390 | 1.6673 | 0.0178 | 0.5026 | 0.4659 | 25 |
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+ | 1.9140 | 0.0217 | 0.4355 | 0.4216 | 1.6041 | 0.0181 | 0.4873 | 0.4512 | 26 |
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+ | 1.8225 | 0.0222 | 0.4184 | 0.4052 | 1.6271 | 0.0179 | 0.4852 | 0.4511 | 27 |
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+ | 1.7265 | 0.0227 | 0.4016 | 0.3895 | 1.5219 | 0.0184 | 0.4635 | 0.4275 | 28 |
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+ | 1.6240 | 0.0233 | 0.3833 | 0.3729 | 1.4718 | 0.0186 | 0.4515 | 0.4170 | 29 |
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+ | 1.5610 | 0.0236 | 0.3697 | 0.3588 | 1.4404 | 0.0188 | 0.4407 | 0.4056 | 30 |
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+ | 1.4719 | 0.0242 | 0.3540 | 0.3449 | 1.4125 | 0.0189 | 0.4310 | 0.3961 | 31 |
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+ | 1.4152 | 0.0245 | 0.3421 | 0.3339 | 1.3655 | 0.0191 | 0.4234 | 0.3881 | 32 |
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+ | 1.3546 | 0.0249 | 0.3277 | 0.3195 | 1.3419 | 0.0192 | 0.4156 | 0.3816 | 33 |
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+ | 1.2565 | 0.0256 | 0.3135 | 0.3060 | 1.3172 | 0.0194 | 0.4065 | 0.3722 | 34 |
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+ | 1.2135 | 0.0258 | 0.3026 | 0.2958 | 1.3019 | 0.0194 | 0.4006 | 0.3662 | 35 |
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+ | 0.3962 | 0.0326 | 0.0964 | 0.1045 | 1.1726 | 0.0206 | 0.3311 | 0.2967 | 61 |
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+ | 0.2367 | 0.0342 | 0.0364 | 0.0431 | 1.2173 | 0.0208 | 0.3234 | 0.2870 | 79 |
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+ | 0.1857 | 0.0347 | 0.0294 | 0.0365 | 1.2287 | 0.0208 | 0.3244 | 0.2876 | 80 |
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+ | 0.1504 | 0.0351 | 0.0244 | 0.0314 | 1.2425 | 0.0207 | 0.3238 | 0.2871 | 81 |
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+ | 0.1438 | 0.0352 | 0.0227 | 0.0287 | 1.2495 | 0.0208 | 0.3222 | 0.2861 | 82 |
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+ | 0.1545 | 0.0350 | 0.0232 | 0.0288 | 1.2612 | 0.0207 | 0.3257 | 0.2898 | 83 |
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+ | 0.2122 | 0.0345 | 0.0284 | 0.0346 | 1.2518 | 0.0208 | 0.3241 | 0.2884 | 84 |
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+ | 0.1685 | 0.0349 | 0.0222 | 0.0278 | 1.2466 | 0.0208 | 0.3231 | 0.2868 | 85 |
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+ | 0.1371 | 0.0352 | 0.0181 | 0.0236 | 1.2606 | 0.0208 | 0.3239 | 0.2869 | 86 |
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+ | 0.1357 | 0.0352 | 0.0171 | 0.0216 | 1.2675 | 0.0208 | 0.3240 | 0.2874 | 87 |
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+ | 0.1022 | 0.0356 | 0.0132 | 0.0172 | 1.2887 | 0.0208 | 0.3233 | 0.2875 | 88 |
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+ | 0.0943 | 0.0356 | 0.0118 | 0.0159 | 1.2876 | 0.0208 | 0.3252 | 0.2884 | 89 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - TensorFlow 2.13.0
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+ - Tokenizers 0.13.3
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+ "vocab_size": 51865
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