readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: BERiT_2000
    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. -->
  
  # BERiT_2000
  
  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: 6.7293
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.9294        | 0.19  | 500  | 6.8136          |
  | 6.7692        | 0.39  | 1000 | 6.8006          |
  | 6.7567        | 0.58  | 1500 | 6.7770          |
  | 6.746         | 0.77  | 2000 | 6.7414          |
  | 6.7577        | 0.97  | 2500 | 6.7333          |
  | 6.7295        | 1.16  | 3000 | 6.7405          |
  | 6.7635        | 1.36  | 3500 | 6.7272          |
  | 6.7715        | 1.55  | 4000 | 6.7114          |
  | 6.7348        | 1.74  | 4500 | 6.7275          |
  | 6.719         | 1.94  | 5000 | 6.7322          |
  | 6.7427        | 2.13  | 5500 | 6.7242          |
  | 6.7136        | 2.32  | 6000 | 6.6852          |
  | 6.719         | 2.52  | 6500 | 6.7430          |
  | 6.7229        | 2.71  | 7000 | 6.7331          |
  | 6.7166        | 2.9   | 7500 | 6.7293          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  