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Hyperparameters:

  • learning rate: 2e-5
  • weight decay: 0.01
  • per_device_train_batch_size: 8
  • per_device_eval_batch_size: 8
  • gradient_accumulation_steps:1
  • eval steps: 24000
  • max_length: 512
  • num_epochs: 2
  • hidden_dropout_prob: 0.3
  • attention_probs_dropout_prob: 0.25

Dataset version:

  • taskydata/10xp3nirstbbflanse_5xc4

Checkpoint:

  • 48000 steps

Results on Validation set:

Step Training Loss Validation Loss Accuracy Precision Recall F1
24000 0.052000 0.071572 0.988261 0.999752 0.987852 0.993767
48000 0.015100 0.026952 0.995925 0.999564 0.996132 0.997846

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Dataset used to train taskydata/deberta-v3-base_10xp3nirstbbflanse_5xc4