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whisper_input_decoder_shift_r_labels_no_force__0065

Automatic Speech Recognition
Transformers
TensorFlow
whisper
generated_from_keras_callback
Inference Endpoints
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  1. README.md +121 -0
  2. config.json +51 -0
  3. generation_config.json +117 -0
  4. tf_model.h5 +3 -0
README.md ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_input_decoder_shift_r_labels_no_force__0065
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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_input_decoder_shift_r_labels_no_force__0065
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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: 0.0048
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+ - Train Accuracy: 0.0340
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+ - Train Wermet: 4.9652
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+ - Validation Loss: 0.7821
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+ - Validation Accuracy: 0.0210
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+ - Validation Wermet: 4.9937
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+ - Epoch: 64
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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': 0.01}
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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 | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
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+ |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
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+ | 5.6348 | 0.0091 | 1.5865 | 4.2935 | 0.0093 | 0.9579 | 0 |
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+ | 4.9212 | 0.0099 | 0.9054 | 4.1262 | 0.0097 | 0.9390 | 1 |
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+ | 4.6819 | 0.0107 | 0.8319 | 3.9071 | 0.0103 | 0.8966 | 2 |
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+ | 4.4443 | 0.0114 | 0.8310 | 3.7367 | 0.0106 | 0.8939 | 3 |
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+ | 4.2479 | 0.0119 | 0.8226 | 3.6101 | 0.0109 | 0.8696 | 4 |
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+ | 4.0911 | 0.0124 | 0.8103 | 3.5364 | 0.0110 | 0.8946 | 5 |
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+ | 3.9590 | 0.0127 | 0.7913 | 3.4556 | 0.0113 | 0.8388 | 6 |
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+ | 3.8513 | 0.0130 | 0.7794 | 3.4106 | 0.0114 | 0.8515 | 7 |
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+ | 3.7607 | 0.0133 | 0.7657 | 3.3507 | 0.0115 | 0.8261 | 8 |
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+ | 3.6757 | 0.0136 | 0.7548 | 3.3141 | 0.0116 | 0.8400 | 9 |
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+ | 3.6023 | 0.0138 | 0.7454 | 3.2711 | 0.0117 | 0.8006 | 10 |
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+ | 3.5261 | 0.0140 | 0.7348 | 3.2391 | 0.0119 | 0.8101 | 11 |
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+ | 3.4534 | 0.0143 | 0.7212 | 3.2070 | 0.0120 | 0.7870 | 12 |
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+ | 3.3814 | 0.0146 | 0.7080 | 3.1505 | 0.0122 | 0.7826 | 13 |
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+ | 3.3069 | 0.0148 | 0.6961 | 3.1102 | 0.0124 | 0.7609 | 14 |
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+ | 3.2229 | 0.0152 | 0.6781 | 3.0542 | 0.0125 | 0.7532 | 15 |
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+ | 3.1334 | 0.0156 | 0.6614 | 2.9840 | 0.0127 | 0.7448 | 16 |
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+ | 3.0313 | 0.0160 | 0.6425 | 2.9032 | 0.0130 | 0.7123 | 17 |
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+ | 2.9122 | 0.0166 | 0.6202 | 2.7986 | 0.0134 | 0.6930 | 18 |
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+ | 2.7559 | 0.0173 | 0.5940 | 2.6337 | 0.0139 | 0.6673 | 19 |
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+ | 2.5649 | 0.0182 | 0.5674 | 2.4490 | 0.0145 | 0.6383 | 20 |
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+ | 2.3414 | 0.0193 | 0.5299 | 2.2785 | 0.0150 | 0.6183 | 21 |
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+ | 2.0966 | 0.0206 | 0.4903 | 2.0460 | 0.0158 | 0.5649 | 22 |
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+ | 1.8283 | 0.0220 | 0.4459 | 1.8369 | 0.0165 | 0.5306 | 23 |
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+ | 1.5547 | 0.0235 | 0.3996 | 1.6356 | 0.0172 | 0.4848 | 24 |
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+ | 1.3218 | 0.0249 | 0.3581 | 1.4682 | 0.0179 | 0.4510 | 25 |
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+ | 1.1383 | 0.0260 | 0.3211 | 1.3465 | 0.0183 | 0.4226 | 26 |
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+ | 0.9876 | 0.0270 | 0.2920 | 1.2323 | 0.0188 | 0.3966 | 27 |
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+ | 0.8635 | 0.0278 | 0.2651 | 1.1482 | 0.0191 | 0.3749 | 28 |
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+ | 0.7620 | 0.0284 | 0.2435 | 1.0816 | 0.0194 | 0.3565 | 29 |
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+ | 0.6749 | 0.0290 | 0.2234 | 1.0187 | 0.0196 | 0.3433 | 30 |
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+ | 0.5998 | 0.0295 | 0.2025 | 0.9761 | 0.0198 | 0.3319 | 31 |
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+ | 0.5325 | 0.0300 | 0.1827 | 0.9326 | 0.0200 | 0.3213 | 32 |
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+ | 0.4735 | 0.0305 | 0.1665 | 0.8942 | 0.0201 | 0.3110 | 33 |
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+ | 0.4228 | 0.0308 | 0.1466 | 0.8735 | 0.0202 | 0.3026 | 34 |
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+ | 0.3747 | 0.0312 | 0.1293 | 0.8408 | 0.0203 | 0.2931 | 35 |
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+ | 0.3331 | 0.0316 | 0.1111 | 0.8253 | 0.0204 | 0.2891 | 36 |
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+ | 0.2947 | 0.0319 | 0.0962 | 0.8084 | 0.0205 | 0.2849 | 37 |
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+ | 0.2601 | 0.0322 | 0.0817 | 0.7906 | 0.0205 | 0.2783 | 38 |
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+ | 0.2291 | 0.0324 | 0.0706 | 0.7876 | 0.0206 | 0.2755 | 39 |
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+ | 0.2009 | 0.0327 | 0.0596 | 0.7723 | 0.0207 | 0.2712 | 40 |
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+ | 0.1750 | 0.0329 | 0.0504 | 0.7629 | 0.0207 | 0.2692 | 41 |
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+ | 0.1510 | 0.0331 | 0.0410 | 0.7650 | 0.0207 | 0.2684 | 42 |
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+ | 0.1319 | 0.0333 | 0.0367 | 0.7533 | 0.0207 | 0.2655 | 43 |
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+ | 0.1121 | 0.0335 | 0.0292 | 0.7589 | 0.0207 | 0.2647 | 44 |
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+ | 0.0956 | 0.0336 | 0.0253 | 0.7579 | 0.0208 | 0.2642 | 45 |
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+ | 0.0812 | 0.0337 | 0.0254 | 0.7584 | 0.0208 | 0.2625 | 46 |
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+ | 0.0694 | 0.0338 | 0.0332 | 0.7555 | 0.0208 | 0.2693 | 47 |
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+ | 0.0592 | 0.0339 | 0.0319 | 0.7534 | 0.0208 | 0.2629 | 48 |
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+ | 0.0499 | 0.0339 | 0.0487 | 0.7587 | 0.0208 | 0.3030 | 49 |
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+ | 0.0409 | 0.0339 | 0.0615 | 0.7577 | 0.0208 | 0.2810 | 50 |
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+ | 0.0347 | 0.0340 | 0.0859 | 0.7603 | 0.0208 | 0.3534 | 51 |
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+ | 0.0286 | 0.0340 | 0.1928 | 0.7554 | 0.0209 | 0.5822 | 52 |
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+ | 0.0267 | 0.0340 | 0.3131 | 0.7664 | 0.0208 | 1.7372 | 53 |
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+ | 0.0243 | 0.0340 | 1.3154 | 0.7525 | 0.0209 | 0.7770 | 54 |
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+ | 0.0206 | 0.0340 | 0.8121 | 0.7532 | 0.0209 | 0.9253 | 55 |
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+ | 0.0174 | 0.0340 | 0.9253 | 0.7574 | 0.0209 | 1.4865 | 56 |
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+ | 0.0135 | 0.0340 | 1.1761 | 0.7592 | 0.0209 | 1.5813 | 57 |
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+ | 0.0111 | 0.0340 | 1.7125 | 0.7631 | 0.0209 | 1.8950 | 58 |
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+ | 0.0096 | 0.0340 | 1.9230 | 0.7664 | 0.0209 | 2.4432 | 59 |
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+ | 0.0082 | 0.0340 | 2.5718 | 0.7693 | 0.0209 | 3.3565 | 60 |
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+ | 0.0073 | 0.0340 | 3.5489 | 0.7747 | 0.0209 | 3.7191 | 61 |
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+ | 0.0063 | 0.0340 | 3.7801 | 0.7756 | 0.0209 | 4.4728 | 62 |
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+ | 0.0054 | 0.0340 | 4.0145 | 0.7795 | 0.0209 | 5.0058 | 63 |
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+ | 0.0048 | 0.0340 | 4.9652 | 0.7821 | 0.0210 | 4.9937 | 64 |
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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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+ "activation_function": "gelu",
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+ "architectures": [
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+ ],
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+ "use_cache": true,
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 51865
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+ }
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