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deberta-v3-base-goemotions

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7610
  • F1: 0.4468

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss F1
1.5709 1.0 6164 1.5211 0.4039
1.3689 2.0 12328 1.5466 0.4198
1.1819 3.0 18492 1.5670 0.4520
1.0059 4.0 24656 1.6673 0.4479
0.8129 5.0 30820 1.7610 0.4468

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Evaluation results