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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_end22
  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_end22

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: 0.1061
- Train Accuracy: 0.0341
- Validation Loss: 0.5635
- Validation Accuracy: 0.0314
- Epoch: 22

## 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 | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 5.0856     | 0.0116         | 4.4440          | 0.0123              | 0     |
| 4.3149     | 0.0131         | 4.0521          | 0.0142              | 1     |
| 3.9260     | 0.0146         | 3.7264          | 0.0153              | 2     |
| 3.5418     | 0.0160         | 3.3026          | 0.0174              | 3     |
| 2.7510     | 0.0198         | 2.0157          | 0.0241              | 4     |
| 1.6782     | 0.0250         | 1.3567          | 0.0273              | 5     |
| 1.1705     | 0.0274         | 1.0678          | 0.0286              | 6     |
| 0.9126     | 0.0287         | 0.9152          | 0.0294              | 7     |
| 0.7514     | 0.0296         | 0.8057          | 0.0299              | 8     |
| 0.6371     | 0.0302         | 0.7409          | 0.0302              | 9     |
| 0.5498     | 0.0307         | 0.6854          | 0.0306              | 10    |
| 0.4804     | 0.0312         | 0.6518          | 0.0307              | 11    |
| 0.4214     | 0.0316         | 0.6200          | 0.0310              | 12    |
| 0.3713     | 0.0319         | 0.5947          | 0.0311              | 13    |
| 0.3281     | 0.0322         | 0.5841          | 0.0311              | 14    |
| 0.2891     | 0.0325         | 0.5700          | 0.0313              | 15    |
| 0.2550     | 0.0328         | 0.5614          | 0.0313              | 16    |
| 0.2237     | 0.0331         | 0.5572          | 0.0313              | 17    |
| 0.1959     | 0.0333         | 0.5563          | 0.0314              | 18    |
| 0.1698     | 0.0335         | 0.5530          | 0.0314              | 19    |
| 0.1455     | 0.0337         | 0.5590          | 0.0314              | 20    |
| 0.1242     | 0.0339         | 0.5743          | 0.0313              | 21    |
| 0.1061     | 0.0341         | 0.5635          | 0.0314              | 22    |


### Framework versions

- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Tokenizers 0.13.2