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# whisper_werbest_new_split

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: 0.0590
- Train Accuracy: 0.0333
- Train Wermet: 13.3826
- Validation Loss: 0.4672
- Validation Accuracy: 0.0313
- Validation Wermet: 16.2097
- Epoch: 21

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.0901     | 0.0113         | 53.3790      | 4.4090          | 0.0122              | 42.3548           | 0     |
| 4.3135     | 0.0127         | 42.3551      | 3.9430          | 0.0149              | 37.1045           | 1     |
| 3.3458     | 0.0173         | 31.6069      | 2.3945          | 0.0222              | 25.5461           | 2     |
| 1.9669     | 0.0232         | 13.7935      | 1.4966          | 0.0261              | 6.9562            | 3     |
| 1.2830     | 0.0262         | 10.0196      | 1.1100          | 0.0279              | 9.5683            | 4     |
| 0.9517     | 0.0278         | 8.1513       | 0.9065          | 0.0289              | 7.8180            | 5     |
| 0.7555     | 0.0287         | 7.5457       | 0.7892          | 0.0295              | 5.1479            | 6     |
| 0.6204     | 0.0295         | 7.0748       | 0.7025          | 0.0299              | 6.9938            | 7     |
| 0.5202     | 0.0300         | 7.2085       | 0.6409          | 0.0303              | 7.6979            | 8     |
| 0.4418     | 0.0305         | 6.6665       | 0.5963          | 0.0305              | 4.9877            | 9     |
| 0.3773     | 0.0309         | 6.3833       | 0.5633          | 0.0307              | 5.6072            | 10    |
| 0.3239     | 0.0313         | 6.3658       | 0.5361          | 0.0308              | 9.7748            | 11    |
| 0.2784     | 0.0316         | 7.6413       | 0.5146          | 0.0310              | 8.5224            | 12    |
| 0.2390     | 0.0319         | 8.3862       | 0.5053          | 0.0310              | 8.1694            | 13    |
| 0.2049     | 0.0321         | 8.4188       | 0.4899          | 0.0311              | 9.4708            | 14    |
| 0.1749     | 0.0323         | 8.7733       | 0.4805          | 0.0312              | 8.5083            | 15    |
| 0.1480     | 0.0326         | 8.1859       | 0.4735          | 0.0312              | 16.2408           | 16    |
| 0.1242     | 0.0328         | 10.7089      | 0.4745          | 0.0312              | 6.8974            | 17    |
| 0.1042     | 0.0329         | 10.2003      | 0.4675          | 0.0313              | 9.7003            | 18    |
| 0.0862     | 0.0331         | 10.7710      | 0.4677          | 0.0313              | 6.6251            | 19    |
| 0.0708     | 0.0332         | 9.1255       | 0.4698          | 0.0313              | 13.2089           | 20    |
| 0.0590     | 0.0333         | 13.3826      | 0.4672          | 0.0313              | 16.2097           | 21    |


### 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_werbest_new_split", "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\_werbest\_new\_split
============================


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: 0.0590
* Train Accuracy: 0.0333
* Train Wermet: 13.3826
* Validation Loss: 0.4672
* Validation Accuracy: 0.0313
* Validation Wermet: 16.2097
* Epoch: 21


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