readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: resultsc
    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. -->
  
  # resultsc
  
  This model is a fine-tuned version of [bhumikak/resultsb](https://huggingface.co/bhumikak/resultsb) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.0809
  - Rouge2 Precision: 0.0198
  - Rouge2 Recall: 0.1471
  - Rouge2 Fmeasure: 0.035
  
  ## 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: 0.0005
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adafactor
  - lr_scheduler_type: linear
  - num_epochs: 50
  - label_smoothing_factor: 0.1
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  