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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_syl_cv12_pad_lob100__0035
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_syl_cv12_pad_lob100__0035
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: 0.0122
- Train Accuracy: 0.0362
- Train Wermet: 3.4515
- Validation Loss: 0.6043
- Validation Accuracy: 0.0236
- Validation Wermet: 3.8210
- Epoch: 34
## 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': 2e-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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.0233 | 0.0115 | 1.6383 | 3.8616 | 0.0117 | 0.9516 | 0 |
| 4.4412 | 0.0127 | 0.8560 | 3.5410 | 0.0125 | 0.8971 | 1 |
| 4.0719 | 0.0138 | 0.8366 | 3.2944 | 0.0132 | 0.8706 | 2 |
| 3.8091 | 0.0146 | 0.8133 | 3.1691 | 0.0134 | 0.8487 | 3 |
| 3.6239 | 0.0152 | 0.7866 | 3.0647 | 0.0136 | 0.8282 | 4 |
| 3.4749 | 0.0156 | 0.7589 | 2.9835 | 0.0139 | 0.8049 | 5 |
| 3.3444 | 0.0161 | 0.7359 | 2.9351 | 0.0140 | 0.7979 | 6 |
| 3.2215 | 0.0165 | 0.7138 | 2.8468 | 0.0145 | 0.7589 | 7 |
| 3.0754 | 0.0172 | 0.6873 | 2.7530 | 0.0148 | 0.7413 | 8 |
| 2.8713 | 0.0181 | 0.6484 | 2.5226 | 0.0157 | 0.7017 | 9 |
| 2.5469 | 0.0197 | 0.5934 | 2.1931 | 0.0168 | 0.6285 | 10 |
| 2.0233 | 0.0225 | 0.4997 | 1.6411 | 0.0189 | 0.5215 | 11 |
| 1.3808 | 0.0264 | 0.3852 | 1.2401 | 0.0205 | 0.4238 | 12 |
| 0.9722 | 0.0290 | 0.3123 | 1.0195 | 0.0215 | 0.3682 | 13 |
| 0.7388 | 0.0305 | 0.2828 | 0.8773 | 0.0221 | 0.3322 | 14 |
| 0.5787 | 0.0317 | 0.2751 | 0.7970 | 0.0225 | 0.3083 | 15 |
| 0.4642 | 0.0325 | 0.2878 | 0.7315 | 0.0227 | 0.2964 | 16 |
| 0.3752 | 0.0332 | 0.4217 | 0.6897 | 0.0229 | 0.3297 | 17 |
| 0.3042 | 0.0338 | 0.7294 | 0.6572 | 0.0231 | 0.4453 | 18 |
| 0.2444 | 0.0343 | 1.1298 | 0.6369 | 0.0232 | 0.6637 | 19 |
| 0.1949 | 0.0348 | 1.6370 | 0.6180 | 0.0233 | 1.6119 | 20 |
| 0.1544 | 0.0352 | 1.6151 | 0.6149 | 0.0233 | 1.6843 | 21 |
| 0.1212 | 0.0355 | 1.3832 | 0.6066 | 0.0233 | 0.8721 | 22 |
| 0.0931 | 0.0357 | 1.2799 | 0.6034 | 0.0234 | 0.5109 | 23 |
| 0.0725 | 0.0359 | 1.0940 | 0.6102 | 0.0234 | 1.0111 | 24 |
| 0.0551 | 0.0361 | 1.2865 | 0.6000 | 0.0234 | 1.1393 | 25 |
| 0.0411 | 0.0361 | 1.8511 | 0.6037 | 0.0235 | 2.0574 | 26 |
| 0.0311 | 0.0362 | 1.7179 | 0.6018 | 0.0235 | 1.4847 | 27 |
| 0.0253 | 0.0362 | 0.9801 | 0.6010 | 0.0235 | 0.4457 | 28 |
| 0.0231 | 0.0362 | 0.9376 | 0.6046 | 0.0235 | 0.9247 | 29 |
| 0.0196 | 0.0362 | 0.6466 | 0.6078 | 0.0235 | 0.5271 | 30 |
| 0.0177 | 0.0362 | 0.4041 | 0.6155 | 0.0235 | 0.4352 | 31 |
| 0.0139 | 0.0362 | 0.4202 | 0.6037 | 0.0236 | 0.5585 | 32 |
| 0.0137 | 0.0362 | 0.8151 | 0.6015 | 0.0236 | 1.8476 | 33 |
| 0.0122 | 0.0362 | 3.4515 | 0.6043 | 0.0236 | 3.8210 | 34 |
### Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
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