---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper3_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. -->

# whisper3_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: 3.1592
- Train Accuracy: 0.0175
- Validation Loss: 2.8062
- Validation Accuracy: 0.0199
- 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 | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 5.0832     | 0.0116         | 4.4298          | 0.0124              | 0     |
| 4.3130     | 0.0131         | 4.0733          | 0.0141              | 1     |
| 3.9211     | 0.0146         | 3.6762          | 0.0157              | 2     |
| 3.5505     | 0.0159         | 3.3453          | 0.0171              | 3     |
| 3.1592     | 0.0175         | 2.8062          | 0.0199              | 4     |


### Framework versions

- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2