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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

Training results

Epoch Train loss Subtask 3 f1 Subtask 3 precision Subtask 3 recall Subtask4 accuracy
1 317.0372867549886 0.9007858546168959 0.9070227497527201 0.8946341463414634 0.8673170731707317
2 133.277006254546 0.9203364670954973 0.9337349397590361 0.9073170731707317 0.8741463414634146
3 49.748294037497544 0.9251968503937008 0.9334657398212513 0.9170731707317074 0.8887804878048781
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