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# Bio_ClinicalBERT_fold_3_binary_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: 1.8860
- F1: 0.8051

## 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   | 289  | 0.4493          | 0.7916 |
| 0.3975        | 2.0   | 578  | 0.4608          | 0.7909 |
| 0.3975        | 3.0   | 867  | 0.8364          | 0.7726 |
| 0.1885        | 4.0   | 1156 | 1.0380          | 0.7902 |
| 0.1885        | 5.0   | 1445 | 1.1612          | 0.7921 |
| 0.0692        | 6.0   | 1734 | 1.3894          | 0.7761 |
| 0.0295        | 7.0   | 2023 | 1.3730          | 0.7864 |
| 0.0295        | 8.0   | 2312 | 1.4131          | 0.7939 |
| 0.0161        | 9.0   | 2601 | 1.5538          | 0.7929 |
| 0.0161        | 10.0  | 2890 | 1.6417          | 0.7931 |
| 0.006         | 11.0  | 3179 | 1.5745          | 0.7974 |
| 0.006         | 12.0  | 3468 | 1.7212          | 0.7908 |
| 0.0132        | 13.0  | 3757 | 1.7349          | 0.7945 |
| 0.0062        | 14.0  | 4046 | 1.7593          | 0.7908 |
| 0.0062        | 15.0  | 4335 | 1.7420          | 0.8035 |
| 0.0073        | 16.0  | 4624 | 1.7620          | 0.8007 |
| 0.0073        | 17.0  | 4913 | 1.8286          | 0.7908 |
| 0.0033        | 18.0  | 5202 | 1.7863          | 0.7977 |
| 0.0033        | 19.0  | 5491 | 1.9275          | 0.7919 |
| 0.0035        | 20.0  | 5780 | 1.8481          | 0.8042 |
| 0.0035        | 21.0  | 6069 | 1.9465          | 0.8012 |
| 0.0035        | 22.0  | 6358 | 1.8177          | 0.8044 |
| 0.005         | 23.0  | 6647 | 1.8615          | 0.8030 |
| 0.005         | 24.0  | 6936 | 1.8427          | 0.8054 |
| 0.0011        | 25.0  | 7225 | 1.8860          | 0.8051 |


### Framework versions

- Transformers 4.21.0
- 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_3_binary_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\_3\_binary\_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: 1.8860
* F1: 0.8051


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 4.21.0
* 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 4.21.0
* 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 4.21.0
* 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 4.21.0
* Pytorch 1.12.0+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1