readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: REBEL-ComSci
    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. -->
  
  # REBEL-ComSci
  
  This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.0770
  
  ## 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: 0.002
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 210  | 5.2197          |
  | No log        | 2.0   | 420  | 5.0887          |
  | 5.8771        | 3.0   | 630  | 5.1124          |
  | 5.8771        | 4.0   | 840  | 5.0977          |
  | 4.5631        | 5.0   | 1050 | 5.0572          |
  | 4.5631        | 6.0   | 1260 | 5.0645          |
  | 4.5631        | 7.0   | 1470 | 5.0819          |
  | 4.5209        | 8.0   | 1680 | 5.0690          |
  | 4.5209        | 9.0   | 1890 | 5.0819          |
  | 4.4896        | 10.0  | 2100 | 5.0770          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.13.1
  