
<!-- 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_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: 0.0327
- Train Accuracy: 0.0334
- Train Wermet: 27.5594
- Validation Loss: 0.4718
- Validation Accuracy: 0.0313
- Validation Wermet: 31.5623
- 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.1027     | 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     |
| 0.9953     | 0.0275         | 18.7308      | 0.9389          | 0.0287              | 20.5259           | 5     |
| 0.7852     | 0.0286         | 18.5731      | 0.8074          | 0.0294              | 17.6576           | 6     |
| 0.6428     | 0.0293         | 18.2945      | 0.7219          | 0.0298              | 19.9850           | 7     |
| 0.5384     | 0.0299         | 18.9258      | 0.6610          | 0.0301              | 18.9327           | 8     |
| 0.4565     | 0.0304         | 19.0749      | 0.6117          | 0.0304              | 21.9796           | 9     |
| 0.3901     | 0.0308         | 19.2099      | 0.5693          | 0.0306              | 18.0965           | 10    |
| 0.3348     | 0.0312         | 20.4777      | 0.5449          | 0.0307              | 19.9518           | 11    |
| 0.2877     | 0.0315         | 20.3181      | 0.5232          | 0.0309              | 20.4017           | 12    |
| 0.2471     | 0.0318         | 19.2073      | 0.5057          | 0.0310              | 18.7612           | 13    |
| 0.2120     | 0.0320         | 19.0961      | 0.4925          | 0.0311              | 22.3187           | 14    |
| 0.1809     | 0.0323         | 20.7944      | 0.4849          | 0.0311              | 27.2314           | 15    |
| 0.1539     | 0.0325         | 22.0951      | 0.4787          | 0.0312              | 25.2171           | 16    |
| 0.1299     | 0.0327         | 22.7652      | 0.4733          | 0.0312              | 22.7492           | 17    |
| 0.1087     | 0.0329         | 25.2223      | 0.4701          | 0.0312              | 28.9044           | 18    |
| 0.0899     | 0.0330         | 24.8354      | 0.4715          | 0.0313              | 21.1618           | 19    |
| 0.0739     | 0.0332         | 25.4987      | 0.4680          | 0.0313              | 29.6304           | 20    |
| 0.0604     | 0.0333         | 27.6465      | 0.4693          | 0.0313              | 27.6937           | 21    |
| 0.0498     | 0.0333         | 27.7045      | 0.4711          | 0.0313              | 27.5013           | 22    |
| 0.0414     | 0.0334         | 28.0547      | 0.4689          | 0.0313              | 29.1776           | 23    |
| 0.0327     | 0.0334         | 27.5594      | 0.4718          | 0.0313              | 31.5623           | 24    |


### 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_0025", "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\_0025
=========================


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: 0.0327
* Train Accuracy: 0.0334
* Train Wermet: 27.5594
* Validation Loss: 0.4718
* Validation Accuracy: 0.0313
* Validation Wermet: 31.5623
* 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



### 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
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