SetFit / distilbert-base-uncased__sst2__train-8-5

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 0
30-day runs: 59
Model's Last Updated: February 10 2022
text-classification

Introduction of distilbert-base-uncased__sst2__train-8-5

Model Details of distilbert-base-uncased__sst2__train-8-5

distilbert-base-uncased__sst2__train-8-5

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8419
  • Accuracy: 0.6172
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
0.7057 1.0 3 0.6848 0.75
0.6681 2.0 6 0.6875 0.5
0.6591 3.0 9 0.6868 0.25
0.6052 4.0 12 0.6943 0.25
0.557 5.0 15 0.7078 0.25
0.4954 6.0 18 0.7168 0.25
0.4593 7.0 21 0.7185 0.25
0.3936 8.0 24 0.7212 0.25
0.3699 9.0 27 0.6971 0.5
0.2916 10.0 30 0.6827 0.5
0.2511 11.0 33 0.6464 0.5
0.2109 12.0 36 0.6344 0.75
0.1655 13.0 39 0.6377 0.75
0.1412 14.0 42 0.6398 0.75
0.1157 15.0 45 0.6315 0.75
0.0895 16.0 48 0.6210 0.75
0.0783 17.0 51 0.5918 0.75
0.0606 18.0 54 0.5543 0.75
0.0486 19.0 57 0.5167 0.75
0.0405 20.0 60 0.4862 0.75
0.0376 21.0 63 0.4644 0.75
0.0294 22.0 66 0.4497 0.75
0.0261 23.0 69 0.4428 0.75
0.0238 24.0 72 0.4408 0.75
0.0217 25.0 75 0.4392 0.75
0.0187 26.0 78 0.4373 0.75
0.0177 27.0 81 0.4360 0.75
0.0136 28.0 84 0.4372 0.75
0.0144 29.0 87 0.4368 0.75
0.014 30.0 90 0.4380 0.75
0.0137 31.0 93 0.4383 0.75
0.0133 32.0 96 0.4409 0.75
0.013 33.0 99 0.4380 0.75
0.0096 34.0 102 0.4358 0.75
0.012 35.0 105 0.4339 0.75
0.0122 36.0 108 0.4305 0.75
0.0109 37.0 111 0.4267 0.75
0.0121 38.0 114 0.4231 0.75
0.0093 39.0 117 0.4209 0.75
0.0099 40.0 120 0.4199 0.75
0.0091 41.0 123 0.4184 0.75
0.0116 42.0 126 0.4173 0.75
0.01 43.0 129 0.4163 0.75
0.0098 44.0 132 0.4153 0.75
0.0101 45.0 135 0.4155 0.75
0.0088 46.0 138 0.4149 0.75
0.0087 47.0 141 0.4150 0.75
0.0093 48.0 144 0.4147 0.75
0.0081 49.0 147 0.4147 0.75
0.009 50.0 150 0.4150 0.75
Framework versions
  • Transformers 4.15.0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3

Runs of SetFit distilbert-base-uncased__sst2__train-8-5 on huggingface.co

12
Total runs
0
24-hour runs
-2
3-day runs
0
7-day runs
59
30-day runs

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