---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: train_from_raw_cv12_true_suppress__0020
  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. -->

# train_from_raw_cv12_true_suppress__0020

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: 0.1762
- Train Accuracy: 0.1054
- Train Wermet: 4.0727
- Validation Loss: 0.2885
- Validation Accuracy: 0.0636
- Validation Wermet: 9.9926
- Epoch: 19

## 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': 2e-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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 2.3569     | 0.0439         | 2.6429       | 1.7869          | 0.0339              | 10.1374           | 0     |
| 1.7502     | 0.0561         | 3.2762       | 1.6607          | 0.0360              | 9.6159            | 1     |
| 1.6268     | 0.0595         | 3.0493       | 1.5698          | 0.0374              | 8.6767            | 2     |
| 1.5533     | 0.0614         | 2.3917       | 1.4965          | 0.0387              | 7.2278            | 3     |
| 1.4953     | 0.0631         | 1.8208       | 1.4549          | 0.0397              | 4.4667            | 4     |
| 1.4388     | 0.0647         | 1.7488       | 1.3669          | 0.0411              | 6.2695            | 5     |
| 1.3532     | 0.0670         | 1.6950       | 1.2392          | 0.0438              | 7.1167            | 6     |
| 1.2122     | 0.0710         | 1.6785       | 1.0705          | 0.0471              | 4.7509            | 7     |
| 1.0193     | 0.0768         | 1.8537       | 0.9080          | 0.0502              | 5.7317            | 8     |
| 0.8466     | 0.0823         | 2.3126       | 0.7098          | 0.0543              | 5.7454            | 9     |
| 0.7039     | 0.0870         | 2.3440       | 0.5934          | 0.0567              | 6.9383            | 10    |
| 0.5754     | 0.0914         | 2.3564       | 0.5071          | 0.0586              | 6.6276            | 11    |
| 0.4749     | 0.0949         | 2.6925       | 0.4391          | 0.0601              | 6.8169            | 12    |
| 0.3910     | 0.0978         | 3.0462       | 0.3908          | 0.0612              | 8.1284            | 13    |
| 0.3311     | 0.0999         | 3.3402       | 0.3658          | 0.0617              | 8.6094            | 14    |
| 0.2871     | 0.1015         | 3.4893       | 0.3344          | 0.0624              | 9.6494            | 15    |
| 0.2515     | 0.1027         | 3.6567       | 0.3234          | 0.0627              | 9.4059            | 16    |
| 0.2233     | 0.1037         | 3.8196       | 0.3058          | 0.0631              | 9.6761            | 17    |
| 0.1980     | 0.1046         | 3.9329       | 0.2916          | 0.0634              | 9.8163            | 18    |
| 0.1762     | 0.1054         | 4.0727       | 0.2885          | 0.0636              | 9.9926            | 19    |


### Framework versions

- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3