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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_4_with_init_sun_syl_wd_0__0070
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_4_with_init_sun_syl_wd_0__0070
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: 0.2729
- Train Accuracy: 0.0338
- Train Wermet: 0.0595
- Train Wermet Syl: 0.0677
- Validation Loss: 1.1911
- Validation Accuracy: 0.0207
- Validation Wermet: 0.3247
- Validation Wermet Syl: 0.2886
- Epoch: 69
## 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}
- training_precision: float32
### Training results
| Train Loss | Train Accuracy | Train Wermet | Train Wermet Syl | Validation Loss | Validation Accuracy | Validation Wermet | Validation Wermet Syl | Epoch |
|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
| 5.3409 | 0.0111 | 1.3547 | 1.2898 | 3.9789 | 0.0114 | 0.9710 | 0.9563 | 0 |
| 4.7143 | 0.0116 | 0.8622 | 0.8228 | 3.9404 | 0.0113 | 0.9823 | 0.9735 | 1 |
| 4.6752 | 0.0117 | 0.8472 | 0.8057 | 3.9081 | 0.0114 | 0.9579 | 0.9359 | 2 |
| 4.6500 | 0.0117 | 0.8382 | 0.7945 | 3.8820 | 0.0115 | 0.9213 | 0.8856 | 3 |
| 4.6282 | 0.0118 | 0.8286 | 0.7805 | 3.8738 | 0.0114 | 0.9433 | 0.9119 | 4 |
| 4.6095 | 0.0118 | 0.8190 | 0.7696 | 3.8630 | 0.0115 | 0.9117 | 0.8698 | 5 |
| 4.5875 | 0.0119 | 0.7976 | 0.7465 | 3.8341 | 0.0116 | 0.8976 | 0.8552 | 6 |
| 4.5682 | 0.0120 | 0.7753 | 0.7227 | 3.8277 | 0.0116 | 0.9014 | 0.8653 | 7 |
| 4.5376 | 0.0121 | 0.7528 | 0.7005 | 3.7844 | 0.0118 | 0.8332 | 0.7815 | 8 |
| 4.5060 | 0.0122 | 0.7392 | 0.6844 | 3.7537 | 0.0118 | 0.8578 | 0.8152 | 9 |
| 4.4580 | 0.0124 | 0.7221 | 0.6694 | 3.7038 | 0.0120 | 0.8190 | 0.7679 | 10 |
| 4.3989 | 0.0125 | 0.7156 | 0.6636 | 3.6169 | 0.0122 | 0.7979 | 0.7429 | 11 |
| 4.3056 | 0.0128 | 0.7069 | 0.6557 | 3.5098 | 0.0125 | 0.7924 | 0.7396 | 12 |
| 4.1673 | 0.0132 | 0.7054 | 0.6584 | 3.3542 | 0.0128 | 0.7759 | 0.7240 | 13 |
| 3.9762 | 0.0138 | 0.6987 | 0.6559 | 3.1318 | 0.0133 | 0.7644 | 0.7231 | 14 |
| 3.7385 | 0.0145 | 0.6835 | 0.6448 | 2.9144 | 0.0138 | 0.7392 | 0.6955 | 15 |
| 3.5040 | 0.0152 | 0.6644 | 0.6298 | 2.7413 | 0.0142 | 0.7019 | 0.6548 | 16 |
| 3.2728 | 0.0160 | 0.6408 | 0.6101 | 2.5183 | 0.0149 | 0.6798 | 0.6363 | 17 |
| 3.0657 | 0.0167 | 0.6188 | 0.5912 | 2.3594 | 0.0153 | 0.6528 | 0.6103 | 18 |
| 2.8703 | 0.0174 | 0.5936 | 0.5685 | 2.2644 | 0.0156 | 0.6310 | 0.5925 | 19 |
| 2.6850 | 0.0181 | 0.5680 | 0.5453 | 2.1296 | 0.0160 | 0.6040 | 0.5652 | 20 |
| 2.5227 | 0.0188 | 0.5423 | 0.5215 | 2.0019 | 0.0165 | 0.5793 | 0.5403 | 21 |
| 2.3878 | 0.0194 | 0.5199 | 0.5015 | 1.8996 | 0.0169 | 0.5592 | 0.5229 | 22 |
| 2.2437 | 0.0201 | 0.4959 | 0.4788 | 1.8141 | 0.0172 | 0.5414 | 0.5045 | 23 |
| 2.1205 | 0.0207 | 0.4752 | 0.4607 | 1.7245 | 0.0175 | 0.5208 | 0.4838 | 24 |
| 1.9919 | 0.0213 | 0.4533 | 0.4390 | 1.6673 | 0.0178 | 0.5026 | 0.4659 | 25 |
| 1.9140 | 0.0217 | 0.4355 | 0.4216 | 1.6041 | 0.0181 | 0.4873 | 0.4512 | 26 |
| 1.8225 | 0.0222 | 0.4184 | 0.4052 | 1.6271 | 0.0179 | 0.4852 | 0.4511 | 27 |
| 1.7265 | 0.0227 | 0.4016 | 0.3895 | 1.5219 | 0.0184 | 0.4635 | 0.4275 | 28 |
| 1.6240 | 0.0233 | 0.3833 | 0.3729 | 1.4718 | 0.0186 | 0.4515 | 0.4170 | 29 |
| 1.5610 | 0.0236 | 0.3697 | 0.3588 | 1.4404 | 0.0188 | 0.4407 | 0.4056 | 30 |
| 1.4719 | 0.0242 | 0.3540 | 0.3449 | 1.4125 | 0.0189 | 0.4310 | 0.3961 | 31 |
| 1.4152 | 0.0245 | 0.3421 | 0.3339 | 1.3655 | 0.0191 | 0.4234 | 0.3881 | 32 |
| 1.3546 | 0.0249 | 0.3277 | 0.3195 | 1.3419 | 0.0192 | 0.4156 | 0.3816 | 33 |
| 1.2565 | 0.0256 | 0.3135 | 0.3060 | 1.3172 | 0.0194 | 0.4065 | 0.3722 | 34 |
| 1.2135 | 0.0258 | 0.3026 | 0.2958 | 1.3019 | 0.0194 | 0.4006 | 0.3662 | 35 |
| 1.1739 | 0.0261 | 0.2923 | 0.2861 | 1.3843 | 0.0190 | 0.3951 | 0.3587 | 36 |
| 1.0950 | 0.0267 | 0.2782 | 0.2733 | 1.2665 | 0.0197 | 0.3883 | 0.3541 | 37 |
| 1.0435 | 0.0271 | 0.2673 | 0.2631 | 1.2567 | 0.0197 | 0.3837 | 0.3497 | 38 |
| 0.9922 | 0.0275 | 0.2580 | 0.2542 | 1.2566 | 0.0197 | 0.3801 | 0.3444 | 39 |
| 0.9387 | 0.0279 | 0.2464 | 0.2438 | 1.2441 | 0.0198 | 0.3767 | 0.3423 | 40 |
| 0.9345 | 0.0278 | 0.2393 | 0.2373 | 1.2221 | 0.0199 | 0.3682 | 0.3336 | 41 |
| 0.8574 | 0.0285 | 0.2268 | 0.2255 | 1.2258 | 0.0199 | 0.3680 | 0.3338 | 42 |
| 0.8275 | 0.0287 | 0.2183 | 0.2180 | 1.2044 | 0.0201 | 0.3628 | 0.3290 | 43 |
| 0.8201 | 0.0288 | 0.2114 | 0.2108 | 1.2056 | 0.0201 | 0.3601 | 0.3270 | 44 |
| 0.7684 | 0.0292 | 0.2020 | 0.2029 | 1.1879 | 0.0202 | 0.3553 | 0.3215 | 45 |
| 0.7262 | 0.0295 | 0.1938 | 0.1947 | 1.2263 | 0.0200 | 0.3537 | 0.3177 | 46 |
| 0.7286 | 0.0295 | 0.1876 | 0.1898 | 1.1772 | 0.0203 | 0.3485 | 0.3135 | 47 |
| 0.6807 | 0.0300 | 0.1775 | 0.1797 | 1.1761 | 0.0203 | 0.3490 | 0.3155 | 48 |
| 0.6609 | 0.0301 | 0.1713 | 0.1742 | 1.1853 | 0.0203 | 0.3484 | 0.3153 | 49 |
| 0.6062 | 0.0306 | 0.1615 | 0.1653 | 1.1660 | 0.0204 | 0.3432 | 0.3090 | 50 |
| 0.5755 | 0.0309 | 0.1547 | 0.1584 | 1.1698 | 0.0204 | 0.3428 | 0.3089 | 51 |
| 0.5600 | 0.0310 | 0.1482 | 0.1524 | 1.1667 | 0.0204 | 0.3398 | 0.3058 | 52 |
| 0.5715 | 0.0308 | 0.1449 | 0.1496 | 1.1614 | 0.0205 | 0.3381 | 0.3036 | 53 |
| 0.5247 | 0.0313 | 0.1358 | 0.1411 | 1.1639 | 0.0205 | 0.3359 | 0.3025 | 54 |
| 0.5085 | 0.0315 | 0.1301 | 0.1358 | 1.2420 | 0.0202 | 0.3412 | 0.3064 | 55 |
| 0.4827 | 0.0317 | 0.1239 | 0.1295 | 1.1677 | 0.0205 | 0.3349 | 0.3009 | 56 |
| 0.4848 | 0.0317 | 0.1207 | 0.1280 | 1.1653 | 0.0205 | 0.3326 | 0.2991 | 57 |
| 0.4323 | 0.0322 | 0.1109 | 0.1185 | 1.1602 | 0.0206 | 0.3299 | 0.2953 | 58 |
| 0.4183 | 0.0323 | 0.1057 | 0.1133 | 1.1622 | 0.0206 | 0.3307 | 0.2962 | 59 |
| 0.4329 | 0.0322 | 0.1028 | 0.1100 | 1.1714 | 0.0206 | 0.3300 | 0.2950 | 60 |
| 0.3962 | 0.0326 | 0.0964 | 0.1045 | 1.1726 | 0.0206 | 0.3311 | 0.2967 | 61 |
| 0.3642 | 0.0329 | 0.0898 | 0.0973 | 1.1699 | 0.0206 | 0.3289 | 0.2936 | 62 |
| 0.3786 | 0.0327 | 0.0884 | 0.0963 | 1.1734 | 0.0206 | 0.3279 | 0.2929 | 63 |
| 0.3698 | 0.0328 | 0.0842 | 0.0925 | 1.1728 | 0.0207 | 0.3282 | 0.2932 | 64 |
| 0.3219 | 0.0333 | 0.0765 | 0.0850 | 1.1830 | 0.0207 | 0.3258 | 0.2907 | 65 |
| 0.3035 | 0.0335 | 0.0725 | 0.0811 | 1.1840 | 0.0207 | 0.3261 | 0.2904 | 66 |
| 0.3522 | 0.0330 | 0.0745 | 0.0826 | 1.2107 | 0.0206 | 0.3299 | 0.2955 | 67 |
| 0.3001 | 0.0335 | 0.0663 | 0.0749 | 1.1810 | 0.0207 | 0.3264 | 0.2909 | 68 |
| 0.2729 | 0.0338 | 0.0595 | 0.0677 | 1.1911 | 0.0207 | 0.3247 | 0.2886 | 69 |
### Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
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