---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_train_on_validated_cv_model__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_train_on_validated_cv_model__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: 0.1998
- Train Accuracy: 0.0775
- Train Wermet: 2.6219
- Validation Loss: 0.3848
- Validation Accuracy: 0.0707
- Validation Wermet: 3.0529
- 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': 2e-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 | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 2.2992     | 0.0331         | 6.3187       | 1.9677          | 0.0372              | 7.2782            | 0     |
| 1.7447     | 0.0431         | 5.6345       | 1.7865          | 0.0408              | 6.3969            | 1     |
| 1.5036     | 0.0480         | 5.6512       | 1.4821          | 0.0468              | 5.1810            | 2     |
| 1.0955     | 0.0567         | 4.4606       | 1.0492          | 0.0557              | 3.7886            | 3     |
| 0.7076     | 0.0654         | 4.9157       | 0.7312          | 0.0627              | 4.2416            | 4     |
| 0.4703     | 0.0710         | 4.9749       | 0.5668          | 0.0664              | 4.8883            | 5     |
| 0.3552     | 0.0737         | 5.1823       | 0.4725          | 0.0685              | 4.8141            | 6     |
| 0.2865     | 0.0754         | 4.1024       | 0.4358          | 0.0694              | 3.8550            | 7     |
| 0.2380     | 0.0765         | 3.3689       | 0.3947          | 0.0704              | 2.2953            | 8     |
| 0.1998     | 0.0775         | 2.6219       | 0.3848          | 0.0707              | 3.0529            | 9     |


### Framework versions

- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3