readme: ---
  license: apache-2.0
  tags:
  - text-classification
  - generated_from_trainer
  model-index:
  - name: SPECTER-frozen-with-biblio-context-finetuned-review_classifier
    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. -->
  
  # SPECTER-frozen-with-biblio-context-finetuned-review_classifier
  
  This model is a fine-tuned version of [allenai/specter](https://huggingface.co/allenai/specter) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.2606
  - eval_accuracy: 0.91
  - eval_f1: 0.0925
  - eval_recall: 0.0490
  - eval_precision: 0.8379
  - eval_runtime: 1030.2818
  - eval_samples_per_second: 77.649
  - eval_steps_per_second: 6.471
  - epoch: 1.0
  - step: 6667
  
  ## 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: 4.5e-05
  - train_batch_size: 12
  - eval_batch_size: 12
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  