---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_nosp_0010
  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_nosp_0010

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: 0.7431
- Train Accuracy: 0.0199
- Validation Loss: 0.9603
- Validation Accuracy: 0.0196
- Epoch: 9

## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 7.5559     | 0.0010         | 6.3853          | 0.0013              | 0     |
| 6.3227     | 0.0021         | 5.7023          | 0.0038              | 1     |
| 4.9825     | 0.0063         | 3.6302          | 0.0109              | 2     |
| 2.9413     | 0.0126         | 2.1959          | 0.0154              | 3     |
| 1.9349     | 0.0157         | 1.6630          | 0.0172              | 4     |
| 1.4741     | 0.0171         | 1.3813          | 0.0181              | 5     |
| 1.1975     | 0.0181         | 1.2161          | 0.0186              | 6     |
| 1.0048     | 0.0188         | 1.0990          | 0.0191              | 7     |
| 0.8598     | 0.0194         | 1.0165          | 0.0194              | 8     |
| 0.7431     | 0.0199         | 0.9603          | 0.0196              | 9     |


### Framework versions

- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2