readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: distilroberta-base-mic
    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-mic
  
  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: 0.3435
  - Accuracy: 0.9104
  - F1: 0.9103
  
  ## 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: 8.748413056668156e-05
  - train_batch_size: 200
  - eval_batch_size: 200
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | No log        | 1.0   | 120  | 0.2830          | 0.8804   | 0.8797 |
  | No log        | 2.0   | 240  | 0.2398          | 0.9046   | 0.9046 |
  | No log        | 3.0   | 360  | 0.3474          | 0.8959   | 0.8954 |
  | No log        | 4.0   | 480  | 0.3435          | 0.9104   | 0.9103 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  