readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bigbird-dialogue-score
    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. -->
  
  # bigbird-dialogue-score
  
  This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.2129
  - eval_f1: 0.9290
  - eval_precision: 0.9173
  - eval_recall: 0.9410
  - eval_runtime: 311.0516
  - eval_samples_per_second: 49.304
  - eval_steps_per_second: 6.163
  - epoch: 1.0
  - step: 5432
  
  ## 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-06
  - train_batch_size: 2
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 6
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  