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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_input_decoder_equal_labels_no_force__0060
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_equal_labels_no_force__0060
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: 0.0000
- Train Accuracy: 0.0362
- Train Wermet: 0.0000
- Validation Loss: 0.0003
- Validation Accuracy: 0.0266
- Validation Wermet: 0.0001
- Epoch: 59
## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 0.7688 | 0.0332 | 32.0424 | 0.0164 | 0.0265 | 57.8712 | 0 |
| 0.0114 | 0.0362 | 31.1067 | 0.0062 | 0.0266 | 54.8371 | 1 |
| 0.0048 | 0.0362 | 27.0610 | 0.0030 | 0.0266 | 50.1428 | 2 |
| 0.0027 | 0.0362 | 24.9672 | 0.0018 | 0.0266 | 48.0741 | 3 |
| 0.0018 | 0.0362 | 23.1500 | 0.0013 | 0.0266 | 44.9304 | 4 |
| 0.0013 | 0.0362 | 21.5445 | 0.0010 | 0.0266 | 42.3508 | 5 |
| 0.0009 | 0.0362 | 20.2775 | 0.0008 | 0.0266 | 40.4061 | 6 |
| 0.0007 | 0.0362 | 19.5082 | 0.0006 | 0.0266 | 38.2329 | 7 |
| 0.0005 | 0.0362 | 17.9967 | 0.0005 | 0.0266 | 35.9761 | 8 |
| 0.0004 | 0.0362 | 16.8461 | 0.0004 | 0.0266 | 34.1220 | 9 |
| 0.0003 | 0.0362 | 15.8373 | 0.0004 | 0.0266 | 32.0054 | 10 |
| 0.0003 | 0.0362 | 14.7685 | 0.0004 | 0.0266 | 29.6994 | 11 |
| 0.0002 | 0.0362 | 13.4142 | 0.0003 | 0.0266 | 27.1796 | 12 |
| 0.0002 | 0.0362 | 12.4809 | 0.0003 | 0.0266 | 25.3421 | 13 |
| 0.0002 | 0.0362 | 11.2286 | 0.0003 | 0.0266 | 23.1619 | 14 |
| 0.0001 | 0.0362 | 10.2408 | 0.0003 | 0.0266 | 21.3348 | 15 |
| 0.0001 | 0.0362 | 9.5439 | 0.0002 | 0.0266 | 20.1758 | 16 |
| 0.0001 | 0.0362 | 8.7578 | 0.0002 | 0.0266 | 18.3977 | 17 |
| 0.0001 | 0.0362 | 7.8698 | 0.0002 | 0.0266 | 16.2156 | 18 |
| 0.0001 | 0.0362 | 7.0007 | 0.0002 | 0.0266 | 14.7919 | 19 |
| 0.0001 | 0.0362 | 6.2610 | 0.0002 | 0.0266 | 13.0212 | 20 |
| 0.0001 | 0.0362 | 5.5103 | 0.0002 | 0.0266 | 11.5619 | 21 |
| 0.0000 | 0.0362 | 4.9163 | 0.0002 | 0.0266 | 10.4626 | 22 |
| 0.0000 | 0.0362 | 4.3166 | 0.0002 | 0.0266 | 9.2446 | 23 |
| 0.0000 | 0.0362 | 3.7524 | 0.0002 | 0.0266 | 7.7431 | 24 |
| 0.0000 | 0.0362 | 3.2129 | 0.0002 | 0.0266 | 6.6332 | 25 |
| 0.0000 | 0.0362 | 2.7739 | 0.0002 | 0.0266 | 5.7615 | 26 |
| 0.0000 | 0.0362 | 2.3764 | 0.0002 | 0.0266 | 4.9058 | 27 |
| 0.0000 | 0.0362 | 1.9780 | 0.0002 | 0.0266 | 4.0666 | 28 |
| 0.0000 | 0.0362 | 1.6255 | 0.0002 | 0.0266 | 3.3591 | 29 |
| 0.0000 | 0.0362 | 1.3291 | 0.0002 | 0.0266 | 2.7223 | 30 |
| 0.0000 | 0.0362 | 1.1012 | 0.0002 | 0.0266 | 2.1768 | 31 |
| 0.0000 | 0.0362 | 0.9017 | 0.0002 | 0.0266 | 1.7957 | 32 |
| 0.0000 | 0.0362 | 0.7347 | 0.0002 | 0.0266 | 1.3240 | 33 |
| 0.0000 | 0.0362 | 0.5807 | 0.0002 | 0.0266 | 0.9770 | 34 |
| 0.0000 | 0.0362 | 0.4562 | 0.0002 | 0.0266 | 0.7842 | 35 |
| 0.0000 | 0.0362 | 0.3738 | 0.0002 | 0.0266 | 0.6098 | 36 |
| 0.0000 | 0.0362 | 0.2925 | 0.0002 | 0.0266 | 0.4481 | 37 |
| 0.0000 | 0.0362 | 0.2142 | 0.0002 | 0.0266 | 0.3331 | 38 |
| 0.0000 | 0.0362 | 0.1491 | 0.0002 | 0.0266 | 0.2229 | 39 |
| 0.0000 | 0.0362 | 0.0935 | 0.0002 | 0.0266 | 0.1604 | 40 |
| 0.0000 | 0.0362 | 0.0588 | 0.0002 | 0.0266 | 0.1018 | 41 |
| 0.0000 | 0.0362 | 0.0421 | 0.0002 | 0.0266 | 0.0653 | 42 |
| 0.0000 | 0.0362 | 0.0284 | 0.0002 | 0.0266 | 0.0364 | 43 |
| 0.0000 | 0.0362 | 0.0172 | 0.0002 | 0.0266 | 0.0210 | 44 |
| 0.0000 | 0.0362 | 0.0048 | 0.0002 | 0.0266 | 0.0105 | 45 |
| 0.0000 | 0.0362 | 0.0006 | 0.0002 | 0.0266 | 0.0031 | 46 |
| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0004 | 47 |
| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 48 |
| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 49 |
| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 50 |
| 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 51 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 52 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 53 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 54 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 55 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 56 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 57 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 58 |
| 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 59 |
### Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
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