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# Bio_ClinicalBERT_fold_10_ternary_v1

This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0706
- F1: 0.7748

## 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 290  | 0.6097          | 0.7290 |
| 0.555         | 2.0   | 580  | 0.6106          | 0.7649 |
| 0.555         | 3.0   | 870  | 0.6608          | 0.7847 |
| 0.2449        | 4.0   | 1160 | 0.8894          | 0.7809 |
| 0.2449        | 5.0   | 1450 | 1.1049          | 0.7760 |
| 0.1055        | 6.0   | 1740 | 1.2951          | 0.7884 |
| 0.0338        | 7.0   | 2030 | 1.4809          | 0.7760 |
| 0.0338        | 8.0   | 2320 | 1.4751          | 0.7698 |
| 0.0225        | 9.0   | 2610 | 1.6648          | 0.7809 |
| 0.0225        | 10.0  | 2900 | 1.7174          | 0.7772 |
| 0.006         | 11.0  | 3190 | 1.7872          | 0.7735 |
| 0.006         | 12.0  | 3480 | 1.7803          | 0.7748 |
| 0.0161        | 13.0  | 3770 | 1.9302          | 0.7735 |
| 0.0005        | 14.0  | 4060 | 1.9853          | 0.7748 |
| 0.0005        | 15.0  | 4350 | 2.0043          | 0.7735 |
| 0.0062        | 16.0  | 4640 | 1.9969          | 0.7760 |
| 0.0062        | 17.0  | 4930 | 2.0173          | 0.7760 |
| 0.0068        | 18.0  | 5220 | 1.9891          | 0.7785 |
| 0.0034        | 19.0  | 5510 | 1.9951          | 0.7797 |
| 0.0034        | 20.0  | 5800 | 2.0283          | 0.7748 |
| 0.0049        | 21.0  | 6090 | 1.9985          | 0.7834 |
| 0.0049        | 22.0  | 6380 | 2.0131          | 0.7760 |
| 0.0011        | 23.0  | 6670 | 2.0526          | 0.7748 |
| 0.0011        | 24.0  | 6960 | 2.0662          | 0.7748 |
| 0.001         | 25.0  | 7250 | 2.0706          | 0.7748 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "Bio_ClinicalBERT_fold_10_ternary_v1", "results": []}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 

Bio\_ClinicalBERT\_fold\_10\_ternary\_v1
========================================


This model is a fine-tuned version of emilyalsentzer/Bio\_ClinicalBERT on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 2.0706
* F1: 0.7748


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: 25


### Training results



### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### 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: 25 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-mit #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: 25 ### Training results ### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-mit #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: 25### Training results### Framework versions


* Transformers 4.21.1
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1