readme: ---
  license: apache-2.0
  tags:
  - 6th
  - generated_from_trainer
  metrics:
  - f1
  - accuracy
  model-index:
  - name: ff_analysis_3
    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_3
  
  This model is a fine-tuned version of [zdreiosis/ff_analysis_2](https://huggingface.co/zdreiosis/ff_analysis_2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0060
  - 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        | 1.02  | 50   | 0.0138          | 1.0    | 1.0     | 1.0      |
  | No log        | 2.04  | 100  | 0.0132          | 0.9966 | 0.9966  | 0.9885   |
  | No log        | 3.06  | 150  | 0.0097          | 1.0    | 1.0     | 1.0      |
  | No log        | 4.08  | 200  | 0.0095          | 0.9966 | 0.9966  | 0.9885   |
  | No log        | 5.1   | 250  | 0.0096          | 1.0    | 1.0     | 1.0      |
  | No log        | 6.12  | 300  | 0.0079          | 1.0    | 1.0     | 1.0      |
  | No log        | 7.14  | 350  | 0.0070          | 1.0    | 1.0     | 1.0      |
  | No log        | 8.16  | 400  | 0.0069          | 1.0    | 1.0     | 1.0      |
  | No log        | 9.18  | 450  | 0.0065          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 10.2  | 500  | 0.0060          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 11.22 | 550  | 0.0060          | 0.9966 | 0.9966  | 0.9885   |
  | 0.012         | 12.24 | 600  | 0.0054          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 13.27 | 650  | 0.0049          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 14.29 | 700  | 0.0048          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 15.31 | 750  | 0.0046          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 16.33 | 800  | 0.0042          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 17.35 | 850  | 0.0042          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 18.37 | 900  | 0.0040          | 1.0    | 1.0     | 1.0      |
  | 0.012         | 19.39 | 950  | 0.0040          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 20.41 | 1000 | 0.0038          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 21.43 | 1050 | 0.0037          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 22.45 | 1100 | 0.0039          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 23.47 | 1150 | 0.0038          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 24.49 | 1200 | 0.0035          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 25.51 | 1250 | 0.0037          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 26.53 | 1300 | 0.0034          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 27.55 | 1350 | 0.0035          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 28.57 | 1400 | 0.0034          | 1.0    | 1.0     | 1.0      |
  | 0.0046        | 29.59 | 1450 | 0.0035          | 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
  