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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_char_0025
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_char_0025
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: 2.1717
- Train Accuracy: 0.0392
- Train Wermet: 0.0635
- Validation Loss: 1.9791
- Validation Accuracy: 0.0282
- Validation Wermet: 0.0928
- Epoch: 24
## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 3.2071 | 0.0313 | 0.1237 | 2.8546 | 0.0225 | 0.1109 | 0 |
| 3.0365 | 0.0325 | 0.0375 | 2.8115 | 0.0228 | 0.1215 | 1 |
| 3.0162 | 0.0326 | 0.0484 | 2.7884 | 0.0231 | 0.1318 | 2 |
| 3.0042 | 0.0327 | 0.0555 | 2.7853 | 0.0233 | 0.1393 | 3 |
| 2.9934 | 0.0328 | 0.0614 | 2.7657 | 0.0232 | 0.1273 | 4 |
| 2.9858 | 0.0329 | 0.0654 | 2.7542 | 0.0234 | 0.1073 | 5 |
| 2.9735 | 0.0330 | 0.0673 | 2.7367 | 0.0234 | 0.1414 | 6 |
| 2.9574 | 0.0332 | 0.0704 | 2.6961 | 0.0240 | 0.1429 | 7 |
| 2.9320 | 0.0335 | 0.0723 | 2.6652 | 0.0239 | 0.0990 | 8 |
| 2.8976 | 0.0339 | 0.0729 | 2.5997 | 0.0245 | 0.0944 | 9 |
| 2.8460 | 0.0343 | 0.0728 | 2.5378 | 0.0248 | 0.1435 | 10 |
| 2.7781 | 0.0347 | 0.0741 | 2.4355 | 0.0254 | 0.1372 | 11 |
| 2.7083 | 0.0352 | 0.0747 | 2.5163 | 0.0248 | 0.0987 | 12 |
| 2.6445 | 0.0356 | 0.0720 | 2.2997 | 0.0261 | 0.1484 | 13 |
| 2.5838 | 0.0360 | 0.0724 | 2.2386 | 0.0266 | 0.1419 | 14 |
| 2.5294 | 0.0363 | 0.0721 | 2.1855 | 0.0269 | 0.1289 | 15 |
| 2.4760 | 0.0367 | 0.0711 | 2.1682 | 0.0271 | 0.1214 | 16 |
| 2.4339 | 0.0370 | 0.0698 | 2.1018 | 0.0273 | 0.1264 | 17 |
| 2.3867 | 0.0373 | 0.0684 | 2.0647 | 0.0275 | 0.1403 | 18 |
| 2.3528 | 0.0376 | 0.0669 | 2.0705 | 0.0275 | 0.1089 | 19 |
| 2.3145 | 0.0379 | 0.0658 | 2.0179 | 0.0280 | 0.1209 | 20 |
| 2.2765 | 0.0382 | 0.0654 | 2.0182 | 0.0279 | 0.1023 | 21 |
| 2.2415 | 0.0385 | 0.0650 | 1.9558 | 0.0284 | 0.1523 | 22 |
| 2.2102 | 0.0388 | 0.0643 | 1.9395 | 0.0285 | 0.1123 | 23 |
| 2.1717 | 0.0392 | 0.0635 | 1.9791 | 0.0282 | 0.0928 | 24 |
### Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
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