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# pretrained-bert-uncased-50

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.6891
- Validation Loss: 13.0813
- Epoch: 49

## 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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 8.9180     | 9.5765          | 0     |
| 7.0631     | 9.6436          | 1     |
| 6.5662     | 10.4855         | 2     |
| 6.1181     | 10.4295         | 3     |
| 6.2069     | 10.4589         | 4     |
| 5.9769     | 11.0551         | 5     |
| 6.1633     | 10.8653         | 6     |
| 5.9430     | 11.3191         | 7     |
| 5.7405     | 10.9468         | 8     |
| 5.8629     | 11.1128         | 9     |
| 5.8546     | 11.6032         | 10    |
| 5.7616     | 12.0396         | 11    |
| 5.7221     | 11.4718         | 12    |
| 5.8037     | 11.6265         | 13    |
| 5.8047     | 11.7407         | 14    |
| 5.6255     | 11.9321         | 15    |
| 5.7123     | 11.9664         | 16    |
| 5.7439     | 12.3851         | 17    |
| 5.6358     | 11.7695         | 18    |
| 5.6334     | 12.1840         | 19    |
| 5.7475     | 12.3386         | 20    |
| 5.6651     | 12.1824         | 21    |
| 5.6864     | 12.1818         | 22    |
| 5.7437     | 12.1632         | 23    |
| 5.5457     | 12.3682         | 24    |
| 5.4805     | 12.2731         | 25    |
| 5.7177     | 12.7105         | 26    |
| 5.6454     | 12.3077         | 27    |
| 5.6164     | 12.4352         | 28    |
| 5.8538     | 12.2957         | 29    |
| 5.6449     | 12.4987         | 30    |
| 5.5644     | 12.6280         | 31    |
| 5.8275     | 12.5619         | 32    |
| 5.5706     | 13.0127         | 33    |
| 5.6039     | 12.4849         | 34    |
| 5.6839     | 12.2682         | 35    |
| 5.6085     | 12.5530         | 36    |
| 5.5826     | 12.4190         | 37    |
| 5.5802     | 12.8276         | 38    |
| 5.6272     | 12.9266         | 39    |
| 5.4752     | 13.0355         | 40    |
| 5.5738     | 12.8739         | 41    |
| 5.6231     | 13.1363         | 42    |
| 5.5497     | 12.6590         | 43    |
| 5.6278     | 13.0785         | 44    |
| 5.4599     | 13.0727         | 45    |
| 5.5782     | 13.2001         | 46    |
| 5.5343     | 13.4125         | 47    |
| 5.4846     | 13.3727         | 48    |
| 5.6891     | 13.0813         | 49    |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "pretrained-bert-uncased-50", "results": []}]}
transformers tf bert pretraining generated_from_keras_callback endpoints_compatible region:us
TAGS
#transformers #tf #bert #pretraining #generated_from_keras_callback #endpoints_compatible #region-us 

pretrained-bert-uncased-50
==========================


This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 5.6891
* Validation Loss: 13.0813
* Epoch: 49


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': 'Adam', 'learning\_rate': 1e-04, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.9.2
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 1e-04, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.9.2
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #bert #pretraining #generated_from_keras_callback #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 1e-04, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.9.2
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #bert #pretraining #generated_from_keras_callback #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 1e-04, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.9.2
* Datasets 2.9.0
* Tokenizers 0.13.2