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# Bio_ClinicalBERT_fold_7_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: 1.9612
- F1: 0.7939

## 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   | 291  | 0.5762          | 0.7593 |
| 0.5434        | 2.0   | 582  | 0.5577          | 0.7939 |
| 0.5434        | 3.0   | 873  | 0.6501          | 0.7951 |
| 0.2198        | 4.0   | 1164 | 0.8661          | 0.7939 |
| 0.2198        | 5.0   | 1455 | 1.1493          | 0.7900 |
| 0.0953        | 6.0   | 1746 | 1.1999          | 0.7977 |
| 0.0375        | 7.0   | 2037 | 1.4623          | 0.7759 |
| 0.0375        | 8.0   | 2328 | 1.4526          | 0.7900 |
| 0.0246        | 9.0   | 2619 | 1.6915          | 0.7734 |
| 0.0246        | 10.0  | 2910 | 1.6097          | 0.7913 |
| 0.0113        | 11.0  | 3201 | 1.7091          | 0.8015 |
| 0.0113        | 12.0  | 3492 | 1.7252          | 0.7990 |
| 0.0103        | 13.0  | 3783 | 1.7305          | 0.8015 |
| 0.0079        | 14.0  | 4074 | 1.7932          | 0.8003 |
| 0.0079        | 15.0  | 4365 | 1.7800          | 0.8028 |
| 0.0071        | 16.0  | 4656 | 1.7000          | 0.7977 |
| 0.0071        | 17.0  | 4947 | 1.8342          | 0.8003 |
| 0.0077        | 18.0  | 5238 | 1.8517          | 0.7990 |
| 0.0044        | 19.0  | 5529 | 1.8633          | 0.7964 |
| 0.0044        | 20.0  | 5820 | 1.8813          | 0.7926 |
| 0.0028        | 21.0  | 6111 | 1.8914          | 0.7964 |
| 0.0028        | 22.0  | 6402 | 1.9412          | 0.7926 |
| 0.0043        | 23.0  | 6693 | 1.9760          | 0.7939 |
| 0.0043        | 24.0  | 6984 | 1.9509          | 0.7977 |
| 0.0002        | 25.0  | 7275 | 1.9612          | 0.7939 |


### 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_7_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\_7\_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: 1.9612
* F1: 0.7939


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