---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_wermet_nosup_0015
  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_0015

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: 0.2198
- Train Accuracy: 0.0320
- Train Wermet: 3.8215
- Validation Loss: 0.4835
- Validation Accuracy: 0.0311
- Validation Wermet: 4.4217
- Epoch: 14

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.0729     | 0.0113         | 42.1824      | 4.4421          | 0.0120              | 27.3059           | 0     |
| 4.3249     | 0.0126         | 23.9224      | 4.0443          | 0.0141              | 18.2054           | 1     |
| 3.8845     | 0.0144         | 12.7780      | 3.4577          | 0.0169              | 10.3356           | 2     |
| 2.7411     | 0.0198         | 15.0018      | 1.8774          | 0.0244              | 14.5666           | 3     |
| 1.5621     | 0.0250         | 9.7248       | 1.2443          | 0.0273              | 5.4731            | 4     |
| 1.0745     | 0.0272         | 7.1512       | 0.9802          | 0.0285              | 4.4745            | 5     |
| 0.8261     | 0.0284         | 6.2358       | 0.8209          | 0.0293              | 5.6600            | 6     |
| 0.6673     | 0.0292         | 5.8338       | 0.7182          | 0.0298              | 4.0874            | 7     |
| 0.5548     | 0.0298         | 5.0555       | 0.6489          | 0.0301              | 4.4537            | 8     |
| 0.4694     | 0.0303         | 4.3895       | 0.6038          | 0.0304              | 2.8294            | 9     |
| 0.4011     | 0.0307         | 4.4178       | 0.5673          | 0.0306              | 3.5806            | 10    |
| 0.3446     | 0.0311         | 4.1189       | 0.5329          | 0.0308              | 4.7372            | 11    |
| 0.2968     | 0.0314         | 3.9189       | 0.5138          | 0.0309              | 2.2499            | 12    |
| 0.2553     | 0.0317         | 3.7758       | 0.4990          | 0.0310              | 3.3427            | 13    |
| 0.2198     | 0.0320         | 3.8215       | 0.4835          | 0.0311              | 4.4217            | 14    |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Datasets 2.10.0
- Tokenizers 0.13.2