---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_new_split_ch_08__0005
  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_new_split_ch_08__0005

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: 4.1588
- Train Accuracy: 0.0111
- Train Wermet: 6.9059
- Epoch: 4

## 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 | Epoch |
|:----------:|:--------------:|:------------:|:-----:|
| 7.0502     | 0.0020         | 5.6150       | 0     |
| 5.6527     | 0.0046         | 11.3162      | 1     |
| 4.8654     | 0.0085         | 4.8190       | 2     |
| 4.4295     | 0.0107         | 5.4574       | 3     |
| 4.1588     | 0.0111         | 6.9059       | 4     |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.13.0
- Tokenizers 0.13.3