---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_new_split_ch_08__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_new_split_ch_08__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: 2.5617
- Train Accuracy: 0.0410
- Train Wermet: 1.7919
- Validation Loss: 2.6068
- Validation Accuracy: 0.0395
- Validation Wermet: 2.0386
- 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.1494     | 0.0196         | 3.7403       | 4.3409          | 0.0256              | 0.7553            | 0     |
| 4.0236     | 0.0274         | 0.6316       | 3.6960          | 0.0302              | 0.1658            | 1     |
| 3.5216     | 0.0312         | 0.1467       | 3.3497          | 0.0311              | 0.0012            | 2     |
| 3.2259     | 0.0330         | 0.0850       | 3.1532          | 0.0337              | 0.0023            | 3     |
| 3.0948     | 0.0343         | 0.0859       | 3.0780          | 0.0341              | 0.0021            | 4     |
| 3.0263     | 0.0346         | 0.0848       | 3.0221          | 0.0343              | 0.0019            | 5     |
| 2.9743     | 0.0354         | 0.0865       | 2.9779          | 0.0347              | 0.0045            | 6     |
| 2.9255     | 0.0361         | 0.0990       | 2.9337          | 0.0352              | 0.0174            | 7     |
| 2.8788     | 0.0367         | 0.1068       | 2.8909          | 0.0365              | 0.0365            | 8     |
| 2.8290     | 0.0380         | 0.1529       | 2.8448          | 0.0369              | 0.0515            | 9     |
| 2.7773     | 0.0385         | 0.2255       | 2.7985          | 0.0380              | 0.1572            | 10    |
| 2.7243     | 0.0393         | 0.4532       | 2.7524          | 0.0384              | 0.6297            | 11    |
| 2.6716     | 0.0398         | 0.8369       | 2.7011          | 0.0384              | 1.0735            | 12    |
| 2.6154     | 0.0403         | 1.3705       | 2.6551          | 0.0389              | 1.9171            | 13    |
| 2.5617     | 0.0410         | 1.7919       | 2.6068          | 0.0395              | 2.0386            | 14    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.13.0
- Tokenizers 0.13.3