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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_char_cv12_pad_lob100_low__0075
  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_char_cv12_pad_lob100_low__0075

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: 0.0075
- Train Accuracy: 0.1113
- Train Wermet: 3.5938
- Validation Loss: 0.5416
- Validation Accuracy: 0.0639
- Validation Wermet: 10.3651
- Epoch: 74

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


### Framework versions

- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3