---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_4_with_init_sun_syl_wd_0_lr_en2_0015
  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_syl_wd_0_lr_en2_0015

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: 4.8581
- Train Accuracy: 0.0113
- Train Wermet: 1.0010
- Train Wermet Syl: 1.0020
- Validation Loss: 4.1140
- Validation Accuracy: 0.0113
- Validation Wermet: 0.9851
- Validation Wermet Syl: 0.9843
- Epoch: 14

## 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': 0.01, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Train Wermet | Train Wermet Syl | Validation Loss | Validation Accuracy | Validation Wermet | Validation Wermet Syl | Epoch |
|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
| 39.6121    | 0.0057         | 33.2649      | 25.5768          | 4.5339          | 0.0113              | 0.9851            | 0.9843                | 0     |
| 5.3698     | 0.0107         | 12.0116      | 9.0545           | 4.3408          | 0.0112              | 0.9919            | 0.9915                | 1     |
| 5.1979     | 0.0109         | 9.4008       | 7.1909           | 4.2108          | 0.0113              | 0.9851            | 0.9843                | 2     |
| 5.0669     | 0.0110         | 7.0382       | 5.3339           | 4.1662          | 0.0113              | 0.9851            | 0.9843                | 3     |
| 4.9546     | 0.0111         | 4.8506       | 3.7351           | 4.3022          | 0.0112              | 0.9870            | 0.9854                | 4     |
| 4.9453     | 0.0111         | 3.9228       | 3.1750           | 4.1194          | 0.0113              | 0.9851            | 0.9843                | 5     |
| 4.9123     | 0.0112         | 2.2402       | 1.9643           | 4.1865          | 0.0112              | 1.0000            | 1.0000                | 6     |
| 4.8957     | 0.0112         | 1.7673       | 1.5892           | 4.1150          | 0.0112              | 1.0000            | 0.9999                | 7     |
| 4.8959     | 0.0112         | 2.2166       | 1.9601           | 4.1185          | 0.0113              | 0.9851            | 0.9843                | 8     |
| 4.8685     | 0.0113         | 0.9890       | 0.9897           | 4.1857          | 0.0113              | 0.9851            | 0.9843                | 9     |
| 4.8677     | 0.0113         | 1.2238       | 1.2355           | 4.1211          | 0.0113              | 0.9851            | 0.9843                | 10    |
| 4.8585     | 0.0113         | 1.0074       | 1.0059           | 4.1065          | 0.0113              | 0.9851            | 0.9843                | 11    |
| 4.8609     | 0.0113         | 1.1844       | 1.1144           | 4.1053          | 0.0113              | 0.9851            | 0.9843                | 12    |
| 4.8588     | 0.0113         | 1.2374       | 1.1658           | 4.1377          | 0.0113              | 0.9851            | 0.9843                | 13    |
| 4.8581     | 0.0113         | 1.0010       | 1.0020           | 4.1140          | 0.0113              | 0.9851            | 0.9843                | 14    |


### Framework versions

- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3