---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_charsplit_new_0016
  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_charsplit_new_0016

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: 0.0872
- Train Accuracy: 0.0777
- Train Wermet: 12.3196
- Validation Loss: 0.3129
- Validation Accuracy: 0.0759
- Validation Wermet: 10.7707
- Epoch: 15

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 0.8733     | 0.0602         | 13.0686      | 0.6470          | 0.0676              | 11.4066           | 0     |
| 0.5740     | 0.0666         | 12.7778      | 0.5113          | 0.0706              | 11.1022           | 1     |
| 0.4553     | 0.0692         | 12.2404      | 0.4371          | 0.0723              | 10.9105           | 2     |
| 0.3813     | 0.0708         | 11.9157      | 0.3935          | 0.0733              | 9.4615            | 3     |
| 0.3292     | 0.0720         | 11.5732      | 0.3630          | 0.0740              | 9.9885            | 4     |
| 0.2886     | 0.0729         | 11.5171      | 0.3403          | 0.0745              | 9.8042            | 5     |
| 0.2561     | 0.0736         | 11.3173      | 0.3256          | 0.0749              | 9.9431            | 6     |
| 0.2282     | 0.0743         | 11.7308      | 0.3159          | 0.0752              | 9.2086            | 7     |
| 0.2036     | 0.0748         | 11.4503      | 0.3071          | 0.0754              | 9.5236            | 8     |
| 0.1820     | 0.0754         | 11.7175      | 0.3005          | 0.0756              | 10.0755           | 9     |
| 0.1628     | 0.0758         | 11.7056      | 0.2993          | 0.0757              | 9.9497            | 10    |
| 0.1450     | 0.0762         | 11.7637      | 0.2971          | 0.0758              | 10.1481           | 11    |
| 0.1287     | 0.0766         | 11.8509      | 0.3029          | 0.0759              | 10.2042           | 12    |
| 0.1140     | 0.0770         | 12.1100      | 0.3004          | 0.0760              | 10.3873           | 13    |
| 0.0998     | 0.0773         | 11.9502      | 0.3025          | 0.0761              | 10.7066           | 14    |
| 0.0872     | 0.0777         | 12.3196      | 0.3129          | 0.0759              | 10.7707           | 15    |


### Framework versions

- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3