readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-2-finetuned-RRamicus
    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. -->
  
  # bert-base-uncased-2-finetuned-RRamicus
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4784
  
  ## 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: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 928
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.0341        | 1.0   | 1113  | 1.7515          |
  | 1.7881        | 2.0   | 2226  | 1.6616          |
  | 1.697         | 3.0   | 3339  | 1.6061          |
  | 1.6328        | 4.0   | 4452  | 1.5662          |
  | 1.5919        | 5.0   | 5565  | 1.5362          |
  | 1.5602        | 6.0   | 6678  | 1.5193          |
  | 1.5221        | 7.0   | 7791  | 1.4984          |
  | 1.5135        | 8.0   | 8904  | 1.4898          |
  | 1.4917        | 9.0   | 10017 | 1.4755          |
  | 1.4859        | 10.0  | 11130 | 1.4671          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  