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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_char_cv12_pad_lob100_low__0075 |
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results: [] |
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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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# whisper_char_cv12_pad_lob100_low__0075 |
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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: 0.0075 |
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- Train Accuracy: 0.1113 |
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- Train Wermet: 3.5938 |
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- Validation Loss: 0.5416 |
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- Validation Accuracy: 0.0639 |
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- Validation Wermet: 10.3651 |
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- Epoch: 74 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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| 0.3330 | 0.0999 | 1.7359 | 0.3779 | 0.0615 | 4.7471 | 0 | |
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| 0.3093 | 0.1007 | 2.0563 | 0.3652 | 0.0618 | 7.2181 | 1 | |
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| 0.2869 | 0.1015 | 2.0654 | 0.3539 | 0.0620 | 8.6857 | 2 | |
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| 0.2672 | 0.1022 | 2.1925 | 0.3443 | 0.0623 | 8.0906 | 3 | |
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| 0.2488 | 0.1028 | 2.3286 | 0.3305 | 0.0626 | 9.1756 | 4 | |
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| 0.2316 | 0.1034 | 2.4212 | 0.3300 | 0.0626 | 8.1427 | 5 | |
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| 0.2163 | 0.1039 | 2.5012 | 0.3183 | 0.0629 | 8.3043 | 6 | |
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| 0.2018 | 0.1045 | 2.7267 | 0.3109 | 0.0631 | 9.5329 | 7 | |
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| 0.1878 | 0.1050 | 2.7034 | 0.3053 | 0.0632 | 7.9014 | 8 | |
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| 0.1749 | 0.1054 | 2.8719 | 0.3063 | 0.0632 | 9.0257 | 9 | |
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| 0.1628 | 0.1058 | 2.8764 | 0.3033 | 0.0634 | 9.1336 | 10 | |
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| 0.1510 | 0.1063 | 2.8441 | 0.3046 | 0.0634 | 8.6064 | 11 | |
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| 0.1391 | 0.1067 | 2.9377 | 0.3030 | 0.0635 | 9.1326 | 12 | |
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| 0.1280 | 0.1071 | 2.9433 | 0.3025 | 0.0636 | 9.4533 | 13 | |
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| 0.1182 | 0.1075 | 3.1399 | 0.3076 | 0.0636 | 9.9836 | 14 | |
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| 0.1086 | 0.1078 | 3.2411 | 0.3096 | 0.0636 | 8.8470 | 15 | |
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| 0.0983 | 0.1082 | 3.2622 | 0.3125 | 0.0636 | 9.1506 | 16 | |
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| 0.0889 | 0.1086 | 3.3368 | 0.3184 | 0.0636 | 8.9635 | 17 | |
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| 0.0803 | 0.1089 | 3.2742 | 0.3204 | 0.0637 | 9.3550 | 18 | |
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| 0.0720 | 0.1092 | 3.4052 | 0.3258 | 0.0637 | 10.1082 | 19 | |
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| 0.0637 | 0.1096 | 3.4287 | 0.3342 | 0.0637 | 10.3977 | 20 | |
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| 0.0566 | 0.1098 | 3.4708 | 0.3411 | 0.0636 | 10.6479 | 21 | |
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| 0.0498 | 0.1101 | 3.4462 | 0.3463 | 0.0637 | 10.1602 | 22 | |
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| 0.0429 | 0.1104 | 3.4056 | 0.3588 | 0.0636 | 9.7172 | 23 | |
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| 0.0374 | 0.1106 | 3.4477 | 0.3656 | 0.0636 | 9.4476 | 24 | |
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| 0.0325 | 0.1108 | 3.4474 | 0.3712 | 0.0637 | 9.6926 | 25 | |
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| 0.0279 | 0.1109 | 3.4263 | 0.3836 | 0.0636 | 10.0768 | 26 | |
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| 0.0233 | 0.1111 | 3.4779 | 0.3873 | 0.0637 | 9.8123 | 27 | |
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| 0.0196 | 0.1112 | 3.5329 | 0.4015 | 0.0636 | 10.0477 | 28 | |
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| 0.0160 | 0.1113 | 3.5049 | 0.4097 | 0.0636 | 10.4027 | 29 | |
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| 0.0139 | 0.1114 | 3.6185 | 0.4201 | 0.0636 | 10.9904 | 30 | |
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| 0.0112 | 0.1114 | 3.5812 | 0.4300 | 0.0636 | 10.4501 | 31 | |
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| 0.0096 | 0.1115 | 3.7493 | 0.4409 | 0.0636 | 10.3964 | 32 | |
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| 0.0089 | 0.1115 | 3.6912 | 0.4499 | 0.0636 | 10.8345 | 33 | |
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| 0.0082 | 0.1115 | 3.7577 | 0.4583 | 0.0636 | 10.2883 | 34 | |
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| 0.0090 | 0.1114 | 3.8468 | 0.4755 | 0.0635 | 11.8086 | 35 | |
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| 0.0168 | 0.1111 | 3.6340 | 0.4592 | 0.0636 | 10.6373 | 36 | |
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| 0.0072 | 0.1115 | 3.8163 | 0.4644 | 0.0637 | 10.2448 | 37 | |
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| 0.0040 | 0.1115 | 3.8376 | 0.4728 | 0.0637 | 10.9074 | 38 | |
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| 0.0029 | 0.1115 | 3.8274 | 0.4814 | 0.0637 | 10.5440 | 39 | |
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| 0.0025 | 0.1115 | 3.8022 | 0.4891 | 0.0637 | 10.8606 | 40 | |
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| 0.0021 | 0.1115 | 3.8940 | 0.4937 | 0.0637 | 10.9388 | 41 | |
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| 0.0018 | 0.1115 | 3.8026 | 0.5030 | 0.0637 | 10.6511 | 42 | |
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| 0.0014 | 0.1115 | 3.8260 | 0.5092 | 0.0637 | 10.5743 | 43 | |
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| 0.0173 | 0.1110 | 3.6223 | 0.5066 | 0.0635 | 9.9370 | 44 | |
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| 0.0073 | 0.1114 | 3.6868 | 0.4972 | 0.0637 | 10.6775 | 45 | |
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| 0.0027 | 0.1115 | 3.6742 | 0.5025 | 0.0638 | 10.3476 | 46 | |
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| 0.0016 | 0.1115 | 3.7677 | 0.5078 | 0.0638 | 10.2277 | 47 | |
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| 0.0013 | 0.1115 | 3.7721 | 0.5131 | 0.0638 | 10.4473 | 48 | |
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| 0.0011 | 0.1115 | 3.8394 | 0.5189 | 0.0638 | 10.4344 | 49 | |
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| 0.0009 | 0.1116 | 3.8666 | 0.5245 | 0.0638 | 10.4933 | 50 | |
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| 0.0008 | 0.1116 | 3.8432 | 0.5307 | 0.0638 | 10.5118 | 51 | |
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| 0.0008 | 0.1115 | 3.8808 | 0.5391 | 0.0637 | 10.7086 | 52 | |
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| 0.0207 | 0.1108 | 3.8324 | 0.5204 | 0.0636 | 9.3724 | 53 | |
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| 0.0074 | 0.1113 | 3.4605 | 0.5254 | 0.0637 | 10.1335 | 54 | |
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| 0.0023 | 0.1115 | 3.6304 | 0.5164 | 0.0639 | 10.2554 | 55 | |
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| 0.0012 | 0.1115 | 3.7309 | 0.5202 | 0.0639 | 10.3892 | 56 | |
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| 0.0009 | 0.1115 | 3.6945 | 0.5260 | 0.0639 | 10.0808 | 57 | |
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| 0.0007 | 0.1116 | 3.6804 | 0.5308 | 0.0639 | 10.2385 | 58 | |
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| 0.0006 | 0.1116 | 3.6696 | 0.5350 | 0.0639 | 10.1248 | 59 | |
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| 0.0005 | 0.1116 | 3.7425 | 0.5394 | 0.0639 | 10.1711 | 60 | |
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| 0.0005 | 0.1116 | 3.7317 | 0.5442 | 0.0639 | 10.1407 | 61 | |
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| 0.0004 | 0.1116 | 3.7010 | 0.5490 | 0.0639 | 10.0544 | 62 | |
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| 0.0004 | 0.1116 | 3.6921 | 0.5546 | 0.0639 | 10.1746 | 63 | |
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| 0.0003 | 0.1116 | 3.7494 | 0.5598 | 0.0639 | 10.0562 | 64 | |
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| 0.0025 | 0.1115 | 3.6924 | 0.6395 | 0.0628 | 8.8622 | 65 | |
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| 0.0189 | 0.1109 | 3.7101 | 0.5363 | 0.0638 | 11.1245 | 66 | |
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| 0.0035 | 0.1115 | 3.6989 | 0.5347 | 0.0639 | 11.3329 | 67 | |
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| 0.0012 | 0.1115 | 3.6723 | 0.5407 | 0.0639 | 11.2559 | 68 | |
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| 0.0007 | 0.1115 | 3.6834 | 0.5429 | 0.0639 | 11.0248 | 69 | |
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| 0.0006 | 0.1115 | 3.6848 | 0.5459 | 0.0639 | 10.8372 | 70 | |
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| 0.0005 | 0.1115 | 3.6407 | 0.5501 | 0.0639 | 10.9252 | 71 | |
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| 0.0005 | 0.1115 | 3.7172 | 0.5565 | 0.0639 | 10.6965 | 72 | |
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| 0.0123 | 0.1112 | 3.5604 | 0.5734 | 0.0635 | 10.3309 | 73 | |
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| 0.0075 | 0.1113 | 3.5938 | 0.5416 | 0.0639 | 10.3651 | 74 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- TensorFlow 2.13.0 |
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- Tokenizers 0.13.3 |
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