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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_input_decoder_shift_r_labels_with_force__0055
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_input_decoder_shift_r_labels_with_force__0055
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: 0.0222
- Train Accuracy: 0.0340
- Train Wermet: 9.9266
- Validation Loss: 0.7573
- Validation Accuracy: 0.0209
- Validation Wermet: 7.1746
- Epoch: 54
## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.6249 | 0.0091 | 1.7162 | 4.2965 | 0.0094 | 0.9447 | 0 |
| 4.9223 | 0.0099 | 0.9041 | 4.1562 | 0.0097 | 0.9327 | 1 |
| 4.6814 | 0.0107 | 0.8376 | 3.9245 | 0.0103 | 0.8927 | 2 |
| 4.4407 | 0.0114 | 0.8311 | 3.7252 | 0.0107 | 0.8775 | 3 |
| 4.2445 | 0.0119 | 0.8228 | 3.6283 | 0.0108 | 0.8695 | 4 |
| 4.0889 | 0.0123 | 0.8067 | 3.5310 | 0.0110 | 0.8916 | 5 |
| 3.9575 | 0.0127 | 0.7908 | 3.4478 | 0.0113 | 0.8407 | 6 |
| 3.8547 | 0.0130 | 0.7781 | 3.4227 | 0.0113 | 0.8670 | 7 |
| 3.7599 | 0.0133 | 0.7654 | 3.3519 | 0.0115 | 0.8375 | 8 |
| 3.6763 | 0.0136 | 0.7543 | 3.3183 | 0.0116 | 0.8678 | 9 |
| 3.6006 | 0.0138 | 0.7421 | 3.2581 | 0.0117 | 0.8120 | 10 |
| 3.5300 | 0.0140 | 0.7296 | 3.2415 | 0.0118 | 0.8257 | 11 |
| 3.4554 | 0.0143 | 0.7179 | 3.2163 | 0.0119 | 0.8078 | 12 |
| 3.3930 | 0.0145 | 0.7057 | 3.1612 | 0.0121 | 0.7758 | 13 |
| 3.3218 | 0.0148 | 0.6946 | 3.1357 | 0.0122 | 0.7760 | 14 |
| 3.2424 | 0.0151 | 0.6806 | 3.0812 | 0.0123 | 0.7639 | 15 |
| 3.1577 | 0.0155 | 0.6633 | 3.0193 | 0.0126 | 0.7428 | 16 |
| 3.0655 | 0.0159 | 0.6454 | 2.9643 | 0.0128 | 0.7423 | 17 |
| 2.9579 | 0.0164 | 0.6271 | 2.8510 | 0.0132 | 0.7103 | 18 |
| 2.8149 | 0.0170 | 0.6022 | 2.7020 | 0.0136 | 0.6811 | 19 |
| 2.6475 | 0.0178 | 0.5775 | 2.5406 | 0.0142 | 0.6495 | 20 |
| 2.4340 | 0.0189 | 0.5451 | 2.3364 | 0.0149 | 0.6166 | 21 |
| 2.2002 | 0.0200 | 0.5065 | 2.1300 | 0.0155 | 0.5766 | 22 |
| 1.9511 | 0.0213 | 0.4658 | 1.9335 | 0.0162 | 0.5419 | 23 |
| 1.6777 | 0.0228 | 0.4184 | 1.7327 | 0.0169 | 0.5071 | 24 |
| 1.4282 | 0.0243 | 0.3754 | 1.5461 | 0.0176 | 0.4669 | 25 |
| 1.2219 | 0.0255 | 0.3365 | 1.4027 | 0.0181 | 0.4326 | 26 |
| 1.0535 | 0.0265 | 0.3016 | 1.2979 | 0.0185 | 0.4134 | 27 |
| 0.9205 | 0.0274 | 0.2731 | 1.1891 | 0.0189 | 0.3843 | 28 |
| 0.8079 | 0.0281 | 0.2453 | 1.1135 | 0.0192 | 0.3659 | 29 |
| 0.7140 | 0.0288 | 0.2218 | 1.0532 | 0.0195 | 0.3495 | 30 |
| 0.6318 | 0.0293 | 0.1975 | 0.9976 | 0.0197 | 0.3351 | 31 |
| 0.5623 | 0.0298 | 0.1770 | 0.9571 | 0.0199 | 0.3256 | 32 |
| 0.4990 | 0.0303 | 0.1582 | 0.9184 | 0.0200 | 0.3147 | 33 |
| 0.4444 | 0.0307 | 0.1424 | 0.8865 | 0.0202 | 0.3062 | 34 |
| 0.3949 | 0.0311 | 0.1260 | 0.8532 | 0.0203 | 0.2968 | 35 |
| 0.3505 | 0.0314 | 0.1118 | 0.8333 | 0.0204 | 0.2898 | 36 |
| 0.3104 | 0.0317 | 0.0988 | 0.8245 | 0.0204 | 0.2881 | 37 |
| 0.2743 | 0.0321 | 0.0886 | 0.8014 | 0.0205 | 0.2825 | 38 |
| 0.2428 | 0.0323 | 0.0842 | 0.7944 | 0.0206 | 0.2794 | 39 |
| 0.2120 | 0.0326 | 0.0880 | 0.7742 | 0.0206 | 0.2762 | 40 |
| 0.1863 | 0.0328 | 0.1289 | 0.7744 | 0.0206 | 0.2863 | 41 |
| 0.1621 | 0.0330 | 0.1792 | 0.7683 | 0.0207 | 0.2873 | 42 |
| 0.1390 | 0.0332 | 0.1918 | 0.7664 | 0.0207 | 0.4006 | 43 |
| 0.1194 | 0.0334 | 0.3137 | 0.7596 | 0.0207 | 0.5479 | 44 |
| 0.1022 | 0.0335 | 0.5546 | 0.7607 | 0.0208 | 0.8384 | 45 |
| 0.0880 | 0.0337 | 0.9275 | 0.7595 | 0.0208 | 0.8106 | 46 |
| 0.0740 | 0.0338 | 1.7784 | 0.7555 | 0.0208 | 0.9209 | 47 |
| 0.0622 | 0.0338 | 2.6518 | 0.7572 | 0.0208 | 2.2106 | 48 |
| 0.0528 | 0.0339 | 2.2627 | 0.7565 | 0.0208 | 1.4870 | 49 |
| 0.0453 | 0.0339 | 4.0945 | 0.7590 | 0.0208 | 3.1276 | 50 |
| 0.0407 | 0.0339 | 6.6959 | 0.7542 | 0.0208 | 6.1620 | 51 |
| 0.0327 | 0.0340 | 7.6116 | 0.7558 | 0.0208 | 8.6756 | 52 |
| 0.0264 | 0.0340 | 11.0921 | 0.7526 | 0.0209 | 7.4669 | 53 |
| 0.0222 | 0.0340 | 9.9266 | 0.7573 | 0.0209 | 7.1746 | 54 |
### Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
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