readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: distilroberta-base-etc
    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. -->
  
  # distilroberta-base-etc
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3382
  - Accuracy: 0.919
  - F1: 0.9190
  
  ## 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: 4.969790133269121e-05
  - train_batch_size: 400
  - eval_batch_size: 400
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | No log        | 1.0   | 84   | 0.2372          | 0.907    | 0.9070 |
  | No log        | 2.0   | 168  | 0.2358          | 0.9083   | 0.9083 |
  | No log        | 3.0   | 252  | 0.2430          | 0.9137   | 0.9137 |
  | No log        | 4.0   | 336  | 0.2449          | 0.919    | 0.9190 |
  | No log        | 5.0   | 420  | 0.2884          | 0.9193   | 0.9193 |
  | No log        | 6.0   | 504  | 0.3179          | 0.9167   | 0.9167 |
  | No log        | 7.0   | 588  | 0.3382          | 0.919    | 0.9190 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  