---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_wermet_nosup_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_wermet_nosup_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: 0.5307
- Train Accuracy: 0.0308
- Train Wermet: 6.4113
- Validation Loss: 0.6640
- Validation Accuracy: 0.0306
- Validation Wermet: 5.7589
- 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': 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 | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.0860     | 0.0116         | 45.4352      | 4.4455          | 0.0124              | 36.1611           | 0     |
| 4.3098     | 0.0131         | 29.4890      | 4.0321          | 0.0144              | 24.9514           | 1     |
| 3.6711     | 0.0160         | 25.7380      | 2.7995          | 0.0205              | 32.2126           | 2     |
| 2.2582     | 0.0224         | 31.5946      | 1.6772          | 0.0257              | 23.9282           | 3     |
| 1.4268     | 0.0262         | 23.3380      | 1.2097          | 0.0279              | 18.7331           | 4     |
| 1.0613     | 0.0279         | 13.6764      | 0.9972          | 0.0289              | 10.7707           | 5     |
| 0.8545     | 0.0290         | 9.2746       | 0.8605          | 0.0296              | 6.5566            | 6     |
| 0.7144     | 0.0297         | 7.4723       | 0.7768          | 0.0300              | 5.4825            | 7     |
| 0.6116     | 0.0303         | 6.9092       | 0.7125          | 0.0304              | 6.5220            | 8     |
| 0.5307     | 0.0308         | 6.4113       | 0.6640          | 0.0306              | 5.7589            | 9     |


### Framework versions

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