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# CancerTextV2

This model is a fine-tuned version of [bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5913
- Accuracy: 0.8692
- Precision: 0.8666
- Recall: 0.8738
- F1: 0.8701

## 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: 1e-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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4717        | 1.0   | 600  | 0.3318          | 0.8617   | 0.8562    | 0.8704 | 0.8633 |
| 0.3248        | 2.0   | 1200 | 0.3144          | 0.8658   | 0.8821    | 0.8455 | 0.8634 |
| 0.2653        | 3.0   | 1800 | 0.3519          | 0.8625   | 0.8507    | 0.8804 | 0.8653 |
| 0.2164        | 4.0   | 2400 | 0.4090          | 0.8658   | 0.9002    | 0.8239 | 0.8604 |
| 0.1884        | 5.0   | 3000 | 0.4413          | 0.8667   | 0.8850    | 0.8439 | 0.8639 |
| 0.1582        | 6.0   | 3600 | 0.4415          | 0.865    | 0.8971    | 0.8256 | 0.8599 |
| 0.1377        | 7.0   | 4200 | 0.5165          | 0.8708   | 0.8694    | 0.8738 | 0.8716 |
| 0.1192        | 8.0   | 4800 | 0.5699          | 0.8675   | 0.8826    | 0.8488 | 0.8654 |
| 0.1081        | 9.0   | 5400 | 0.5837          | 0.8692   | 0.8666    | 0.8738 | 0.8701 |
| 0.1018        | 10.0  | 6000 | 0.5913          | 0.8692   | 0.8666    | 0.8738 | 0.8701 |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"license": "cc0-1.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "model-index": [{"name": "CancerTextV2", "results": []}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer license:cc0-1.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-cc0-1.0 #autotrain_compatible #endpoints_compatible #region-us 

CancerTextV2
============


This model is a fine-tuned version of bionlp/bluebert\_pubmed\_uncased\_L-12\_H-768\_A-12 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5913
* Accuracy: 0.8692
* Precision: 0.8666
* Recall: 0.8738
* F1: 0.8701


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: 1e-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: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-cc0-1.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-cc0-1.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1