readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: BERiTmodel2
    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. -->
  
  # BERiTmodel2
  
  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: 3.1508
  
  ## 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: cosine
  - lr_scheduler_warmup_steps: 280
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.1924        | 1.0   | 2854  | 3.4329          |
  | 3.0936        | 2.0   | 5708  | 3.5036          |
  | 2.9998        | 3.0   | 8562  | 3.1906          |
  | 2.9064        | 4.0   | 11416 | 3.4867          |
  | 2.8493        | 5.0   | 14270 | 3.2027          |
  | 2.7538        | 6.0   | 17124 | 2.9772          |
  | 2.7273        | 7.0   | 19978 | 2.9950          |
  | 2.7399        | 8.0   | 22832 | 2.9690          |
  | 2.67          | 9.0   | 25686 | 3.0311          |
  | 2.6388        | 10.0  | 28540 | 3.1508          |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  