---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: openai/whisper-tiny
model-index:
- name: whisper3_0020
  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_0020

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: 0.1844
- Train Accuracy: 0.0334
- Validation Loss: 0.5619
- Validation Accuracy: 0.0313
- Epoch: 19

## 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     |
| 2.2581     | 0.0220         | 1.7622          | 0.0252              | 5     |
| 1.4671     | 0.0259         | 1.2711          | 0.0276              | 6     |
| 1.0779     | 0.0278         | 1.0220          | 0.0288              | 7     |
| 0.8591     | 0.0290         | 0.8836          | 0.0295              | 8     |
| 0.7159     | 0.0297         | 0.7918          | 0.0300              | 9     |
| 0.6105     | 0.0304         | 0.7276          | 0.0303              | 10    |
| 0.5287     | 0.0309         | 0.6850          | 0.0306              | 11    |
| 0.4614     | 0.0313         | 0.6472          | 0.0308              | 12    |
| 0.4049     | 0.0317         | 0.6199          | 0.0310              | 13    |
| 0.3562     | 0.0320         | 0.6019          | 0.0311              | 14    |
| 0.3139     | 0.0324         | 0.5868          | 0.0311              | 15    |
| 0.2766     | 0.0326         | 0.5751          | 0.0312              | 16    |
| 0.2438     | 0.0329         | 0.5701          | 0.0312              | 17    |
| 0.2116     | 0.0332         | 0.5686          | 0.0313              | 18    |
| 0.1844     | 0.0334         | 0.5619          | 0.0313              | 19    |


### Framework versions

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