readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: try-out-model-amc2
    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. -->
  
  # try-out-model-amc2
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5462
  - F1: 0.8557
  
  ## 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: 12
  - eval_batch_size: 12
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.8475        | 1.0   | 208  | 2.1236          | 0.4655 |
  | 1.6756        | 2.0   | 416  | 1.2293          | 0.7030 |
  | 0.9133        | 3.0   | 624  | 0.8073          | 0.8191 |
  | 0.5178        | 4.0   | 832  | 0.6504          | 0.8341 |
  | 0.2981        | 5.0   | 1040 | 0.5643          | 0.8597 |
  | 0.1673        | 6.0   | 1248 | 0.5340          | 0.8670 |
  | 0.0996        | 7.0   | 1456 | 0.5482          | 0.8574 |
  | 0.0626        | 8.0   | 1664 | 0.5360          | 0.8587 |
  | 0.0433        | 9.0   | 1872 | 0.5536          | 0.8518 |
  | 0.036         | 10.0  | 2080 | 0.5462          | 0.8557 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Tokenizers 0.13.2
  