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# bert_Pfinal_2e-5_16_10

This model is a fine-tuned version of [fredymad/bert_Pfinal_2e-5_16_2](https://huggingface.co/fredymad/bert_Pfinal_2e-5_16_2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6295
- F1: 0.7355

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.101         | 1.0   | 669  | 0.3000          | 0.7169 |
| 0.1282        | 2.0   | 1338 | 0.2993          | 0.7361 |
| 0.0548        | 3.0   | 2007 | 0.3924          | 0.7308 |
| 0.0278        | 4.0   | 2676 | 0.4989          | 0.7221 |
| 0.0229        | 5.0   | 3345 | 0.6089          | 0.6940 |
| 0.0168        | 6.0   | 4014 | 0.5561          | 0.7361 |
| 0.0082        | 7.0   | 4683 | 0.6112          | 0.7297 |
| 0.008         | 8.0   | 5352 | 0.6101          | 0.7343 |
| 0.0052        | 9.0   | 6021 | 0.6253          | 0.7400 |
| 0.003         | 10.0  | 6690 | 0.6295          | 0.7355 |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "bert_Pfinal_2e-5_16_10", "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 

bert\_Pfinal\_2e-5\_16\_10
==========================


This model is a fine-tuned version of fredymad/bert\_Pfinal\_2e-5\_16\_2 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.6295
* F1: 0.7355


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: 10


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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: 10 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3
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: 10 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3