readme: ---
  license: apache-2.0
  tags:
  - gen_ffa
  - generated_from_trainer
  metrics:
  - f1
  - accuracy
  model-index:
  - name: ff_analysis_4
    results: []
  ---
  
  <!-- 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. -->
  
  # ff_analysis_4
  
  This model is a fine-tuned version of [zdreiosis/ff_analysis_4](https://huggingface.co/zdreiosis/ff_analysis_4) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0022
  - F1: 1.0
  - Roc Auc: 1.0
  - Accuracy: 1.0
  
  ## 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1  | Roc Auc | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
  | No log        | 1.47  | 50   | 0.0055          | 1.0 | 1.0     | 1.0      |
  | No log        | 2.94  | 100  | 0.0052          | 1.0 | 1.0     | 1.0      |
  | No log        | 4.41  | 150  | 0.0044          | 1.0 | 1.0     | 1.0      |
  | No log        | 5.88  | 200  | 0.0037          | 1.0 | 1.0     | 1.0      |
  | No log        | 7.35  | 250  | 0.0030          | 1.0 | 1.0     | 1.0      |
  | No log        | 8.82  | 300  | 0.0030          | 1.0 | 1.0     | 1.0      |
  | No log        | 10.29 | 350  | 0.0028          | 1.0 | 1.0     | 1.0      |
  | No log        | 11.76 | 400  | 0.0027          | 1.0 | 1.0     | 1.0      |
  | No log        | 13.24 | 450  | 0.0025          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 14.71 | 500  | 0.0022          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 16.18 | 550  | 0.0025          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 17.65 | 600  | 0.0023          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 19.12 | 650  | 0.0022          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 20.59 | 700  | 0.0022          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 22.06 | 750  | 0.0021          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 23.53 | 800  | 0.0020          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 25.0  | 850  | 0.0020          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 26.47 | 900  | 0.0019          | 1.0 | 1.0     | 1.0      |
  | 0.0078        | 27.94 | 950  | 0.0019          | 1.0 | 1.0     | 1.0      |
  | 0.0025        | 29.41 | 1000 | 0.0019          | 1.0 | 1.0     | 1.0      |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.10.3
  