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Pretrained checkpoint: bert-base-uncased

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: 5
  • prompt_format: sentence aspect - sentiment

Training results

Epoch Train loss Subtask 3 f1 Subtask 3 precision Subtask 3 recall Subtask4 accuracy
1 305.5731324516237 0.8653648509763618 0.9142236699239956 0.8214634146341463 0.7921951219512195
2 160.19575848057866 0.8591029023746701 0.9356321839080459 0.7941463414634147 0.8009756097560976
3 101.52328581456095 0.8882175226586102 0.9177939646201873 0.8604878048780488 0.8321951219512195
4 63.44610589882359 0.8818737270875764 0.9222577209797657 0.8448780487804878 0.8282926829268292
5 43.48708916385658 0.8917835671342685 0.9165808444902163 0.8682926829268293 0.8214634146341463
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