---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: train_from_raw_cv12_true__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. -->

# train_from_raw_cv12_true__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: 0.2922
- Train Accuracy: 0.1013
- Train Wermet: 3.5614
- Validation Loss: 0.3391
- Validation Accuracy: 0.0623
- Validation Wermet: 9.6152
- 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': 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 2.3396     | 0.0444         | 2.7124       | 1.8124          | 0.0331              | 9.4418            | 0     |
| 1.7496     | 0.0562         | 3.2708       | 1.6529          | 0.0359              | 9.7805            | 1     |
| 1.6254     | 0.0594         | 3.1714       | 1.5874          | 0.0371              | 10.4139           | 2     |
| 1.5490     | 0.0615         | 3.0208       | 1.5102          | 0.0382              | 8.2054            | 3     |
| 1.4910     | 0.0631         | 2.8298       | 1.4213          | 0.0402              | 8.9930            | 4     |
| 1.4233     | 0.0650         | 2.7100       | 1.3319          | 0.0421              | 8.8483            | 5     |
| 1.3203     | 0.0679         | 2.5125       | 1.1806          | 0.0450              | 7.0373            | 6     |
| 1.1453     | 0.0730         | 2.5001       | 1.0029          | 0.0484              | 5.7328            | 7     |
| 0.9537     | 0.0789         | 2.6295       | 0.7799          | 0.0529              | 6.7373            | 8     |
| 0.7822     | 0.0844         | 2.7501       | 0.6499          | 0.0556              | 8.5538            | 9     |
| 0.6317     | 0.0895         | 2.9507       | 0.5467          | 0.0578              | 8.4990            | 10    |
| 0.5010     | 0.0940         | 3.1604       | 0.4597          | 0.0597              | 9.4002            | 11    |
| 0.4026     | 0.0975         | 3.2910       | 0.3984          | 0.0610              | 9.8173            | 12    |
| 0.3372     | 0.0998         | 3.5302       | 0.3571          | 0.0619              | 9.6433            | 13    |
| 0.2922     | 0.1013         | 3.5614       | 0.3391          | 0.0623              | 9.6152            | 14    |


### Framework versions

- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3