readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-finetuned-sdg
    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. -->
  
  # roberta-base-finetuned-sdg
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4993
  - Acc: 0.9024
  
  ## 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: 0.0001
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.4679        | 1.0   | 254  | 0.3660          | 0.8963 |
  | 0.3578        | 2.0   | 508  | 0.3689          | 0.9019 |
  | 0.2739        | 3.0   | 762  | 0.3284          | 0.9035 |
  | 0.1841        | 4.0   | 1016 | 0.3763          | 0.9019 |
  | 0.1127        | 5.0   | 1270 | 0.4174          | 0.9024 |
  | 0.0822        | 6.0   | 1524 | 0.4523          | 0.9013 |
  | 0.0329        | 7.0   | 1778 | 0.4829          | 0.9030 |
  | 0.0157        | 8.0   | 2032 | 0.4993          | 0.9024 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0a0+8a1a93a
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  