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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: deberta-v3-large__sst2__train-8-3
    results: []

deberta-v3-large__sst2__train-8-3

This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6421
  • Accuracy: 0.6310

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6696 1.0 3 0.7917 0.25
0.6436 2.0 6 0.8107 0.25
0.6923 3.0 9 0.8302 0.25
0.5051 4.0 12 0.9828 0.25
0.3688 5.0 15 0.7402 0.25
0.2671 6.0 18 0.5820 0.75
0.1935 7.0 21 0.8356 0.5
0.0815 8.0 24 1.0431 0.25
0.0591 9.0 27 0.9679 0.75
0.0276 10.0 30 1.0659 0.75
0.0175 11.0 33 0.9689 0.75
0.0152 12.0 36 0.8820 0.75
0.006 13.0 39 0.8337 0.75
0.0041 14.0 42 0.7650 0.75
0.0036 15.0 45 0.6960 0.75
0.0034 16.0 48 0.6548 0.75

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3