---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_syl_noforce__0025
  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_syl_noforce__0025

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: 1.5286
- Train Accuracy: 0.0253
- Train Wermet: 0.4182
- Validation Loss: 1.5139
- Validation Accuracy: 0.0194
- Validation Wermet: 0.4919
- Epoch: 24

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.2961     | 0.0113         | 1.9043       | 3.9402          | 0.0116              | 0.9526            | 0     |
| 4.6207     | 0.0121         | 0.8740       | 3.7957          | 0.0120              | 0.9397            | 1     |
| 4.4142     | 0.0128         | 0.8473       | 3.6045          | 0.0124              | 0.8988            | 2     |
| 4.1915     | 0.0135         | 0.8361       | 3.4445          | 0.0128              | 0.9019            | 3     |
| 4.0072     | 0.0140         | 0.8260       | 3.3268          | 0.0131              | 0.8816            | 4     |
| 3.8559     | 0.0145         | 0.8084       | 3.2440          | 0.0133              | 0.8592            | 5     |
| 3.7359     | 0.0149         | 0.7986       | 3.1751          | 0.0135              | 0.8598            | 6     |
| 3.6368     | 0.0152         | 0.7891       | 3.1298          | 0.0136              | 0.8398            | 7     |
| 3.5465     | 0.0154         | 0.7775       | 3.0736          | 0.0138              | 0.8606            | 8     |
| 3.4710     | 0.0157         | 0.7681       | 3.0318          | 0.0138              | 0.8455            | 9     |
| 3.3988     | 0.0159         | 0.7603       | 3.0159          | 0.0139              | 0.8770            | 10    |
| 3.3279     | 0.0162         | 0.7504       | 2.9672          | 0.0141              | 0.8241            | 11    |
| 3.2611     | 0.0164         | 0.7397       | 2.9541          | 0.0141              | 0.8676            | 12    |
| 3.1996     | 0.0167         | 0.7284       | 2.8913          | 0.0144              | 0.7990            | 13    |
| 3.1311     | 0.0169         | 0.7162       | 2.8671          | 0.0145              | 0.7934            | 14    |
| 3.0590     | 0.0172         | 0.7044       | 2.8241          | 0.0146              | 0.7907            | 15    |
| 2.9692     | 0.0177         | 0.6843       | 2.7517          | 0.0149              | 0.7645            | 16    |
| 2.8783     | 0.0181         | 0.6630       | 2.6682          | 0.0152              | 0.7263            | 17    |
| 2.7622     | 0.0187         | 0.6417       | 2.5586          | 0.0156              | 0.7220            | 18    |
| 2.6164     | 0.0194         | 0.6138       | 2.4121          | 0.0161              | 0.6909            | 19    |
| 2.4405     | 0.0203         | 0.5838       | 2.2417          | 0.0167              | 0.6527            | 20    |
| 2.2404     | 0.0213         | 0.5486       | 2.1401          | 0.0170              | 0.6662            | 21    |
| 2.0196     | 0.0225         | 0.5086       | 1.8907          | 0.0180              | 0.5774            | 22    |
| 1.7917     | 0.0237         | 0.4665       | 1.7073          | 0.0186              | 0.5446            | 23    |
| 1.5286     | 0.0253         | 0.4182       | 1.5139          | 0.0194              | 0.4919            | 24    |


### Framework versions

- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3