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Pretrained checkpoint: microsoft/deberta-large

Traning hyperparameters:

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • prompt_format: sentence aspect - sentiment

Training results

Epoch Train loss Subtask 3 f1 Subtask 3 precision Subtask 3 recall Subtask4 accuracy
1 355.13336368463933 0.8388829215896885 0.9330943847072879 0.7619512195121951 0.8360975609756097
2 171.31726237665862 0.9082615306639635 0.9451476793248945 0.8741463414634146 0.8809756097560976
3 96.62600621895399 0.9191321499013807 0.9292123629112662 0.9092682926829269 0.8985365853658537
4 46.02018972591031 0.920743639921722 0.9234543670264965 0.9180487804878049 0.8848780487804878
5 18.8767371326976 0.9239130434782609 0.9359359359359359 0.9121951219512195 0.9014634146341464
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