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# bert-base-uncased-finetuned-cola-new-model

This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6345
- Matthews Correlation: 0.1616

## 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:
- learning_rate: 1.470498073954888e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6336        | 1.0   | 535  | 0.6297          | 0.0                  |
| 0.6148        | 2.0   | 1070 | 0.6265          | 0.0137               |
| 0.6037        | 3.0   | 1605 | 0.6326          | 0.0297               |
| 0.5608        | 4.0   | 2140 | 0.6345          | 0.1616               |
| 0.5362        | 5.0   | 2675 | 0.6488          | 0.0712               |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["matthews_correlation"], "model-index": [{"name": "bert-base-uncased-finetuned-cola-new-model", "results": []}]}
pytorch tensorboard generated_from_trainer dataset:glue region:us
TAGS
#pytorch #tensorboard #generated_from_trainer #dataset-glue #region-us 

bert-base-uncased-finetuned-cola-new-model
==========================================


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


* Loss: 0.6345
* Matthews Correlation: 0.1616


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:


* learning\_rate: 1.470498073954888e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1.470498073954888e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#pytorch #tensorboard #generated_from_trainer #dataset-glue #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1.470498073954888e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3