readme: ---
  license: apache-2.0
  tags:
  - gen_ffa
  - generated_from_trainer
  metrics:
  - f1
  - accuracy
  model-index:
  - name: ff_analysis_5
    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_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
  