---
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_3en4_0010
  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_3en4_0010

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: 1.2715
- Train Accuracy: 0.0246
- Train Wermet: 0.5866
- Train Wermet Syl: 0.8432
- Validation Loss: 1.2543
- Validation Accuracy: 0.0196
- Validation Wermet: 0.4646
- Validation Wermet Syl: 0.5397
- Epoch: 9

## 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': 0.0003, '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 |
|:----------:|:--------------:|:------------:|:----------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:-----:|
| 4.9621     | 0.0111         | 1.3737       | 1.2531           | 3.9542          | 0.0114              | 0.9773            | 0.9699                | 0     |
| 4.6813     | 0.0116         | 0.9321       | 0.9542           | 3.9070          | 0.0114              | 0.9669            | 0.9552                | 1     |
| 4.6267     | 0.0117         | 0.9053       | 0.9424           | 3.9109          | 0.0114              | 0.9465            | 0.9128                | 2     |
| 4.5866     | 0.0118         | 0.8961       | 0.9453           | 3.8787          | 0.0115              | 0.9210            | 0.8988                | 3     |
| 4.5246     | 0.0119         | 0.9086       | 1.0238           | 3.8947          | 0.0113              | 0.9346            | 0.8618                | 4     |
| 4.0723     | 0.0131         | 0.9445       | 1.1479           | 2.8783          | 0.0135              | 0.8293            | 0.9656                | 5     |
| 2.9304     | 0.0167         | 1.1693       | 1.7199           | 1.7990          | 0.0168              | 0.5867            | 0.6425                | 6     |
| 2.0844     | 0.0201         | 0.8414       | 1.1849           | 1.5133          | 0.0180              | 0.5178            | 0.5473                | 7     |
| 1.6228     | 0.0225         | 0.7801       | 1.0964           | 1.3701          | 0.0189              | 0.4690            | 0.5092                | 8     |
| 1.2715     | 0.0246         | 0.5866       | 0.8432           | 1.2543          | 0.0196              | 0.4646            | 0.5397                | 9     |


### Framework versions

- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3