---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: train_from_raw_cv12__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__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: nan
- Train Accuracy: 0.0032
- Train Wermet: 8.3902
- Validation Loss: nan
- Validation Accuracy: 0.0032
- Validation Wermet: 8.3902
- 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| nan        | 0.0032         | 8.3778       | nan             | 0.0032              | 8.3902            | 0     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 1     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 2     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 3     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 4     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 5     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 6     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 7     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 8     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 9     |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 10    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 11    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 12    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 13    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 14    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 15    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 16    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 17    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 18    |
| nan        | 0.0032         | 8.3902       | nan             | 0.0032              | 8.3902            | 19    |


### Framework versions

- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3