SetFit / deberta-v3-large__sst2__train-8-4

huggingface.co
Total runs: 13
24-hour runs: 1
7-day runs: 3
30-day runs: -18
Model's Last Updated: February 10 2022
text-classification

Introduction of deberta-v3-large__sst2__train-8-4

Model Details of deberta-v3-large__sst2__train-8-4

deberta-v3-large__sst2__train-8-4

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: 1.3023
  • Accuracy: 0.7057
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
0.6816 1.0 3 0.8072 0.25
0.6672 2.0 6 0.8740 0.25
0.6667 3.0 9 0.8578 0.25
0.5346 4.0 12 1.0353 0.25
0.4517 5.0 15 1.1030 0.25
0.3095 6.0 18 0.9986 0.25
0.2464 7.0 21 0.9286 0.5
0.1342 8.0 24 0.4063 1.0
0.0851 9.0 27 0.2210 1.0
0.0491 10.0 30 0.2302 1.0
0.0211 11.0 33 0.4020 0.75
0.017 12.0 36 0.2382 1.0
0.0084 13.0 39 0.0852 1.0
0.0051 14.0 42 0.0354 1.0
0.0047 15.0 45 0.0208 1.0
0.0029 16.0 48 0.0155 1.0
0.0022 17.0 51 0.0139 1.0
0.0019 18.0 54 0.0144 1.0
0.0016 19.0 57 0.0168 1.0
0.0013 20.0 60 0.0231 1.0
0.0011 21.0 63 0.0369 1.0
0.0009 22.0 66 0.0528 1.0
0.001 23.0 69 0.0639 1.0
0.0009 24.0 72 0.0670 1.0
0.0009 25.0 75 0.0526 1.0
0.0008 26.0 78 0.0425 1.0
0.0011 27.0 81 0.0135 1.0
0.0007 28.0 84 0.0076 1.0
0.0007 29.0 87 0.0057 1.0
0.0007 30.0 90 0.0049 1.0
0.0008 31.0 93 0.0045 1.0
0.0007 32.0 96 0.0044 1.0
0.0008 33.0 99 0.0043 1.0
0.0005 34.0 102 0.0044 1.0
0.0006 35.0 105 0.0045 1.0
0.0006 36.0 108 0.0046 1.0
0.0007 37.0 111 0.0048 1.0
0.0006 38.0 114 0.0049 1.0
0.0005 39.0 117 0.0050 1.0
0.0005 40.0 120 0.0050 1.0
0.0004 41.0 123 0.0051 1.0
0.0005 42.0 126 0.0051 1.0
0.0004 43.0 129 0.0051 1.0
Framework versions
  • Transformers 4.15.0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3

Runs of SetFit deberta-v3-large__sst2__train-8-4 on huggingface.co

13
Total runs
1
24-hour runs
1
3-day runs
3
7-day runs
-18
30-day runs

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