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# ff_analysis_5

This model is a fine-tuned version of [zdreiosis/ff_analysis_5](https://huggingface.co/zdreiosis/ff_analysis_5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0824
- F1: 0.9306
- Roc Auc: 0.9483
- Accuracy: 0.8137

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 0.27  | 50   | 0.0846          | 0.9305 | 0.9476  | 0.8075   |
| No log        | 0.55  | 100  | 0.1000          | 0.9070 | 0.9320  | 0.7484   |
| No log        | 0.82  | 150  | 0.0945          | 0.9126 | 0.9349  | 0.7640   |
| No log        | 1.1   | 200  | 0.0973          | 0.9119 | 0.9353  | 0.7764   |
| No log        | 1.37  | 250  | 0.0880          | 0.9336 | 0.9504  | 0.8261   |
| No log        | 1.65  | 300  | 0.0857          | 0.9246 | 0.9434  | 0.8043   |
| No log        | 1.92  | 350  | 0.0844          | 0.9324 | 0.9488  | 0.8199   |
| No log        | 2.2   | 400  | 0.0881          | 0.9232 | 0.9450  | 0.7888   |
| No log        | 2.47  | 450  | 0.0875          | 0.9277 | 0.9462  | 0.8012   |
| 0.1226        | 2.75  | 500  | 0.0824          | 0.9306 | 0.9483  | 0.8137   |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.10.3

{"license": "apache-2.0", "tags": ["gen_ffa", "generated_from_trainer"], "metrics": ["f1", "accuracy"], "model-index": [{"name": "ff_analysis_5", "results": []}]}
transformers pytorch tensorboard bert text-classification gen_ffa generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #gen_ffa #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

ff\_analysis\_5
===============


This model is a fine-tuned version of zdreiosis/ff\_analysis\_5 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0824
* F1: 0.9306
* Roc Auc: 0.9483
* Accuracy: 0.8137


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: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3


### Training results



### Framework versions


* Transformers 4.15.0
* Pytorch 1.11.0+cu113
* Datasets 2.3.2
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.15.0
* Pytorch 1.11.0+cu113
* Datasets 2.3.2
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #gen_ffa #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.15.0
* Pytorch 1.11.0+cu113
* Datasets 2.3.2
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #bert #text-classification #gen_ffa #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3### Training results### Framework versions


* Transformers 4.15.0
* Pytorch 1.11.0+cu113
* Datasets 2.3.2
* Tokenizers 0.10.3