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# Bio_ClinicalBERT_fold_8_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: 1.8248
- F1: 0.8010

## 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  | 0.5418          | 0.7899 |
| 0.5486        | 2.0   | 578  | 0.6456          | 0.7727 |
| 0.5486        | 3.0   | 867  | 0.6705          | 0.8010 |
| 0.223         | 4.0   | 1156 | 0.8590          | 0.7998 |
| 0.223         | 5.0   | 1445 | 1.1503          | 0.7973 |
| 0.0936        | 6.0   | 1734 | 1.2678          | 0.7985 |
| 0.035         | 7.0   | 2023 | 1.3791          | 0.7973 |
| 0.035         | 8.0   | 2312 | 1.4720          | 0.7899 |
| 0.0249        | 9.0   | 2601 | 1.4755          | 0.7973 |
| 0.0249        | 10.0  | 2890 | 1.5383          | 0.7936 |
| 0.0177        | 11.0  | 3179 | 1.5926          | 0.8022 |
| 0.0177        | 12.0  | 3468 | 1.6685          | 0.8010 |
| 0.0124        | 13.0  | 3757 | 1.7205          | 0.7912 |
| 0.0047        | 14.0  | 4046 | 1.6311          | 0.7973 |
| 0.0047        | 15.0  | 4335 | 1.8000          | 0.7924 |
| 0.0051        | 16.0  | 4624 | 1.7546          | 0.7924 |
| 0.0051        | 17.0  | 4913 | 1.7800          | 0.7998 |
| 0.0018        | 18.0  | 5202 | 1.8507          | 0.7948 |
| 0.0018        | 19.0  | 5491 | 1.8112          | 0.7912 |
| 0.0052        | 20.0  | 5780 | 1.8149          | 0.7985 |
| 0.0026        | 21.0  | 6069 | 1.7938          | 0.7973 |
| 0.0026        | 22.0  | 6358 | 1.8643          | 0.8034 |
| 0.0013        | 23.0  | 6647 | 1.8311          | 0.7936 |
| 0.0013        | 24.0  | 6936 | 1.8298          | 0.7961 |
| 0.0031        | 25.0  | 7225 | 1.8248          | 0.8010 |


### 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_8_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\_8\_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: 1.8248
* F1: 0.8010


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
passage: 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