
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad

This model is a fine-tuned version of [dmis-lab/biobert-large-cased-v1.1-squad](https://huggingface.co/dmis-lab/biobert-large-cased-v1.1-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1937
- F1: 0.8352

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 59   | 0.6381          | 0.5429 |
| No log        | 2.0   | 118  | 0.4498          | 0.8350 |
| No log        | 3.0   | 177  | 0.6399          | 0.8247 |
| No log        | 4.0   | 236  | 0.6723          | 0.8444 |
| No log        | 5.0   | 295  | 1.1235          | 0.7901 |
| No log        | 6.0   | 354  | 1.0581          | 0.8298 |
| No log        | 7.0   | 413  | 1.2403          | 0.8    |
| No log        | 8.0   | 472  | 1.1142          | 0.8298 |
| 0.1533        | 9.0   | 531  | 1.1338          | 0.8222 |
| 0.1533        | 10.0  | 590  | 1.1343          | 0.8478 |
| 0.1533        | 11.0  | 649  | 1.1471          | 0.8478 |
| 0.1533        | 12.0  | 708  | 1.1670          | 0.8478 |
| 0.1533        | 13.0  | 767  | 1.1825          | 0.8352 |
| 0.1533        | 14.0  | 826  | 1.1912          | 0.8352 |
| 0.1533        | 15.0  | 885  | 1.1937          | 0.8352 |


### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "ec_classfication_0502_dmis_lab_biobert_large_cased_v1.1_squad", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

ec\_classfication\_0502\_dmis\_lab\_biobert\_large\_cased\_v1.1\_squad
======================================================================


This model is a fine-tuned version of dmis-lab/biobert-large-cased-v1.1-squad on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1937
* F1: 0.8352


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: 15


### Training results



### Framework versions


* Transformers 4.27.3
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.2



### 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: 15 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #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: 15 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.2