---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_input_decoder_shift_r_labels_with_force__0025
  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_with_force__0025

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: 1.6777
- Train Accuracy: 0.0228
- Train Wermet: 0.4184
- Validation Loss: 1.7327
- Validation Accuracy: 0.0169
- Validation Wermet: 0.5071
- Epoch: 24

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.6249     | 0.0091         | 1.7162       | 4.2965          | 0.0094              | 0.9447            | 0     |
| 4.9223     | 0.0099         | 0.9041       | 4.1562          | 0.0097              | 0.9327            | 1     |
| 4.6814     | 0.0107         | 0.8376       | 3.9245          | 0.0103              | 0.8927            | 2     |
| 4.4407     | 0.0114         | 0.8311       | 3.7252          | 0.0107              | 0.8775            | 3     |
| 4.2445     | 0.0119         | 0.8228       | 3.6283          | 0.0108              | 0.8695            | 4     |
| 4.0889     | 0.0123         | 0.8067       | 3.5310          | 0.0110              | 0.8916            | 5     |
| 3.9575     | 0.0127         | 0.7908       | 3.4478          | 0.0113              | 0.8407            | 6     |
| 3.8547     | 0.0130         | 0.7781       | 3.4227          | 0.0113              | 0.8670            | 7     |
| 3.7599     | 0.0133         | 0.7654       | 3.3519          | 0.0115              | 0.8375            | 8     |
| 3.6763     | 0.0136         | 0.7543       | 3.3183          | 0.0116              | 0.8678            | 9     |
| 3.6006     | 0.0138         | 0.7421       | 3.2581          | 0.0117              | 0.8120            | 10    |
| 3.5300     | 0.0140         | 0.7296       | 3.2415          | 0.0118              | 0.8257            | 11    |
| 3.4554     | 0.0143         | 0.7179       | 3.2163          | 0.0119              | 0.8078            | 12    |
| 3.3930     | 0.0145         | 0.7057       | 3.1612          | 0.0121              | 0.7758            | 13    |
| 3.3218     | 0.0148         | 0.6946       | 3.1357          | 0.0122              | 0.7760            | 14    |
| 3.2424     | 0.0151         | 0.6806       | 3.0812          | 0.0123              | 0.7639            | 15    |
| 3.1577     | 0.0155         | 0.6633       | 3.0193          | 0.0126              | 0.7428            | 16    |
| 3.0655     | 0.0159         | 0.6454       | 2.9643          | 0.0128              | 0.7423            | 17    |
| 2.9579     | 0.0164         | 0.6271       | 2.8510          | 0.0132              | 0.7103            | 18    |
| 2.8149     | 0.0170         | 0.6022       | 2.7020          | 0.0136              | 0.6811            | 19    |
| 2.6475     | 0.0178         | 0.5775       | 2.5406          | 0.0142              | 0.6495            | 20    |
| 2.4340     | 0.0189         | 0.5451       | 2.3364          | 0.0149              | 0.6166            | 21    |
| 2.2002     | 0.0200         | 0.5065       | 2.1300          | 0.0155              | 0.5766            | 22    |
| 1.9511     | 0.0213         | 0.4658       | 1.9335          | 0.0162              | 0.5419            | 23    |
| 1.6777     | 0.0228         | 0.4184       | 1.7327          | 0.0169              | 0.5071            | 24    |


### Framework versions

- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3