readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-reclorft-oripaper
    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-reclorft-oripaper
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9383
  - Accuracy: 0.5300
  
  ## 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: 1e-05
  - train_batch_size: 24
  - eval_batch_size: 24
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 194  | 1.3854          | 0.3160   |
  | No log        | 2.0   | 388  | 1.2143          | 0.4460   |
  | 1.3074        | 3.0   | 582  | 1.1651          | 0.4860   |
  | 1.3074        | 4.0   | 776  | 1.1864          | 0.5240   |
  | 1.3074        | 5.0   | 970  | 1.3784          | 0.5120   |
  | 0.8079        | 6.0   | 1164 | 1.5516          | 0.5160   |
  | 0.8079        | 7.0   | 1358 | 1.7630          | 0.5360   |
  | 0.3332        | 8.0   | 1552 | 1.8812          | 0.5300   |
  | 0.3332        | 9.0   | 1746 | 1.8399          | 0.5300   |
  | 0.3332        | 10.0  | 1940 | 1.9383          | 0.5300   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  