---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_input_decoder_shift_r_labels_no_force__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_input_decoder_shift_r_labels_no_force__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: 3.3069
- Train Accuracy: 0.0148
- Train Wermet: 0.6961
- Validation Loss: 3.1102
- Validation Accuracy: 0.0124
- Validation Wermet: 0.7609
- 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.6348     | 0.0091         | 1.5865       | 4.2935          | 0.0093              | 0.9579            | 0     |
| 4.9212     | 0.0099         | 0.9054       | 4.1262          | 0.0097              | 0.9390            | 1     |
| 4.6819     | 0.0107         | 0.8319       | 3.9071          | 0.0103              | 0.8966            | 2     |
| 4.4443     | 0.0114         | 0.8310       | 3.7367          | 0.0106              | 0.8939            | 3     |
| 4.2479     | 0.0119         | 0.8226       | 3.6101          | 0.0109              | 0.8696            | 4     |
| 4.0911     | 0.0124         | 0.8103       | 3.5364          | 0.0110              | 0.8946            | 5     |
| 3.9590     | 0.0127         | 0.7913       | 3.4556          | 0.0113              | 0.8388            | 6     |
| 3.8513     | 0.0130         | 0.7794       | 3.4106          | 0.0114              | 0.8515            | 7     |
| 3.7607     | 0.0133         | 0.7657       | 3.3507          | 0.0115              | 0.8261            | 8     |
| 3.6757     | 0.0136         | 0.7548       | 3.3141          | 0.0116              | 0.8400            | 9     |
| 3.6023     | 0.0138         | 0.7454       | 3.2711          | 0.0117              | 0.8006            | 10    |
| 3.5261     | 0.0140         | 0.7348       | 3.2391          | 0.0119              | 0.8101            | 11    |
| 3.4534     | 0.0143         | 0.7212       | 3.2070          | 0.0120              | 0.7870            | 12    |
| 3.3814     | 0.0146         | 0.7080       | 3.1505          | 0.0122              | 0.7826            | 13    |
| 3.3069     | 0.0148         | 0.6961       | 3.1102          | 0.0124              | 0.7609            | 14    |


### Framework versions

- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3