readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: san_2409_1325
    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. -->
  
  # san_2409_1325
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0992
  - F1: 0.7727
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.91  | 5    | 1.9727          | 0.1939 |
  | No log        | 1.91  | 10   | 1.5642          | 0.3535 |
  | No log        | 2.91  | 15   | 1.2698          | 0.6818 |
  | No log        | 3.91  | 20   | 1.3642          | 0.6429 |
  | No log        | 4.91  | 25   | 1.3411          | 0.6818 |
  | No log        | 5.91  | 30   | 1.2627          | 0.6818 |
  | No log        | 6.91  | 35   | 1.1269          | 0.7727 |
  | No log        | 7.91  | 40   | 1.0719          | 0.7727 |
  | No log        | 8.91  | 45   | 1.0567          | 0.7727 |
  | No log        | 9.91  | 50   | 1.1256          | 0.7727 |
  | No log        | 10.91 | 55   | 0.7085          | 0.7727 |
  | No log        | 11.91 | 60   | 0.9290          | 0.7727 |
  | No log        | 12.91 | 65   | 1.0355          | 0.7727 |
  | No log        | 13.91 | 70   | 1.0866          | 0.7727 |
  | No log        | 14.91 | 75   | 1.0992          | 0.7727 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  