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# ber3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0476
- F1: 0.0
- Roc Auc: 0.5
- Accuracy: 0.0
- F1-macro: 0.0
- Precision-micro: 0.0
- Precision-macro: 0.0
- Recall-micro: 0.0
- Recall-macro: 0.0

## 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: 2e-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 | F1     | Roc Auc | Accuracy | F1-macro | Precision-micro | Precision-macro | Recall-micro | Recall-macro |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
| No log        | 1.0   | 121  | 0.2031          | 0.0046 | 0.5116  | 0.0      | 0.0006   | 0.0023          | 0.0003          | 0.1458       | 0.0611       |
| No log        | 2.0   | 242  | 0.0893          | 0.0    | 0.5     | 0.0      | 0.0      | 0.0             | 0.0             | 0.0          | 0.0          |
| No log        | 3.0   | 363  | 0.0609          | 0.0    | 0.5     | 0.0      | 0.0      | 0.0             | 0.0             | 0.0          | 0.0          |
| No log        | 4.0   | 484  | 0.0505          | 0.0    | 0.5     | 0.0      | 0.0      | 0.0             | 0.0             | 0.0          | 0.0          |
| 0.1695        | 5.0   | 605  | 0.0476          | 0.0    | 0.5     | 0.0      | 0.0      | 0.0             | 0.0             | 0.0          | 0.0          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "model-index": [{"name": "ber3", "results": []}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

ber3
====


This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0476
* F1: 0.0
* Roc Auc: 0.5
* Accuracy: 0.0
* F1-macro: 0.0
* Precision-micro: 0.0
* Precision-macro: 0.0
* Recall-micro: 0.0
* Recall-macro: 0.0


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: 2e-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 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2