
<!-- 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_new_split_0005

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: 1.3529
- Train Accuracy: 0.0258
- Train Wermet: 17.4367
- Validation Loss: 1.1712
- Validation Accuracy: 0.0276
- Validation Wermet: 17.7695
- Epoch: 4

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.1027     | 0.0113         | 52.5530      | 4.4267          | 0.0121              | 41.4796           | 0     |
| 4.3285     | 0.0126         | 38.6893      | 3.9835          | 0.0145              | 33.6050           | 1     |
| 3.4573     | 0.0168         | 30.7714      | 2.5568          | 0.0215              | 31.7559           | 2     |
| 2.0878     | 0.0226         | 20.5131      | 1.5738          | 0.0257              | 21.2159           | 3     |
| 1.3529     | 0.0258         | 17.4367      | 1.1712          | 0.0276              | 17.7695           | 4     |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "whisper_new_split_0005", "results": []}]}
transformers tf whisper automatic-speech-recognition generated_from_keras_callback license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #tf #whisper #automatic-speech-recognition #generated_from_keras_callback #license-apache-2.0 #endpoints_compatible #region-us 

whisper\_new\_split\_0005
=========================


This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.3529
* Train Accuracy: 0.0258
* Train Wermet: 17.4367
* Validation Loss: 1.1712
* Validation Accuracy: 0.0276
* Validation Wermet: 17.7695
* Epoch: 4


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



### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2



### 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 ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #whisper #automatic-speech-recognition #generated_from_keras_callback #license-apache-2.0 #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2