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# AgitationTextV2

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: 0.6268
- Accuracy: 0.73
- Precision: 0.8036
- Recall: 0.7377
- F1: 0.7692

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.6535        | 1.0   | 50   | 0.6682          | 0.66     | 0.7547    | 0.6557 | 0.7018 |
| 0.5874        | 2.0   | 100  | 0.6695          | 0.66     | 0.7455    | 0.6721 | 0.7069 |
| 0.5373        | 3.0   | 150  | 0.6141          | 0.6      | 0.7838    | 0.4754 | 0.5918 |
| 0.4671        | 4.0   | 200  | 0.6017          | 0.71     | 0.7667    | 0.7541 | 0.7603 |
| 0.4111        | 5.0   | 250  | 0.5507          | 0.75     | 0.8333    | 0.7377 | 0.7826 |
| 0.3828        | 6.0   | 300  | 0.6090          | 0.7      | 0.7541    | 0.7541 | 0.7541 |
| 0.3034        | 7.0   | 350  | 0.6073          | 0.71     | 0.8333    | 0.6557 | 0.7339 |
| 0.2702        | 8.0   | 400  | 0.5790          | 0.71     | 0.8077    | 0.6885 | 0.7434 |
| 0.246         | 9.0   | 450  | 0.7061          | 0.71     | 0.7424    | 0.8033 | 0.7717 |
| 0.2229        | 10.0  | 500  | 0.6268          | 0.73     | 0.8036    | 0.7377 | 0.7692 |


### 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": "AgitationTextV2", "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 

AgitationTextV2
===============


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: 0.6268
* Accuracy: 0.73
* Precision: 0.8036
* Recall: 0.7377
* F1: 0.7692


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