readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: results
    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. -->
  
  # results
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3691
  - Micro f1: 0.3798
  - Macro f1: 0.0172
  
  ## 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: 3e-05
  - train_batch_size: 512
  - eval_batch_size: 8
  - seed: 42
  - 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 | Micro f1 | Macro f1 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
  | No log        | 1.0   | 4    | 0.6471          | 0.0960   | 0.0322   |
  | No log        | 2.0   | 8    | 0.5902          | 0.2933   | 0.0364   |
  | No log        | 3.0   | 12   | 0.5430          | 0.3700   | 0.0345   |
  | No log        | 4.0   | 16   | 0.5061          | 0.3709   | 0.0307   |
  | No log        | 5.0   | 20   | 0.4765          | 0.3756   | 0.0216   |
  | No log        | 6.0   | 24   | 0.4524          | 0.3748   | 0.0179   |
  | No log        | 7.0   | 28   | 0.4326          | 0.3788   | 0.0173   |
  | No log        | 8.0   | 32   | 0.4160          | 0.3803   | 0.0173   |
  | No log        | 9.0   | 36   | 0.4027          | 0.3798   | 0.0172   |
  | No log        | 10.0  | 40   | 0.3920          | 0.3798   | 0.0172   |
  | No log        | 11.0  | 44   | 0.3836          | 0.3798   | 0.0172   |
  | No log        | 12.0  | 48   | 0.3773          | 0.3798   | 0.0172   |
  | No log        | 13.0  | 52   | 0.3728          | 0.3798   | 0.0172   |
  | No log        | 14.0  | 56   | 0.3701          | 0.3798   | 0.0172   |
  | No log        | 15.0  | 60   | 0.3691          | 0.3798   | 0.0172   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  