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Pretrained checkpoint: facebook/bart-large-mnli

Traning hyperparameters:

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 24
  • eval_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • prompt_format: sentence aspect - sentiment

Training results

Epoch Train loss Subtask 3 f1 Subtask 3 precision Subtask 3 recall Subtask4 accuracy
1 320.1579748761724 0.90401218892839 0.9427966101694916 0.8682926829268293 0.8575609756097561
2 143.87716180080315 0.9102822580645161 0.9416058394160584 0.8809756097560976 0.8721951219512195
3 55.62059011901874 0.9185989146521955 0.9291417165668663 0.9082926829268293 0.8878048780487805
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