professorf / distilbert-base-uncased-finetuned-IAM

huggingface.co
Total runs: 21
24-hour runs: 0
7-day runs: 4
30-day runs: 11
Model's Last Updated: September 27 2023
text-classification

Introduction of distilbert-base-uncased-finetuned-IAM

Model Details of distilbert-base-uncased-finetuned-IAM

distilbert-base-uncased-finetuned-IAM

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9814
  • Accuracy: 0.5103
  • F1: 0.4950
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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
1.5871 1.0 15 1.4971 0.3379 0.1821
1.4995 2.0 30 1.4588 0.3379 0.1707
1.464 3.0 45 1.4251 0.3655 0.2870
1.4105 4.0 60 1.4027 0.3793 0.2899
1.4269 5.0 75 1.3798 0.3793 0.2899
1.3835 6.0 90 1.3425 0.3724 0.3087
1.3885 7.0 105 1.3041 0.4069 0.3515
1.3286 8.0 120 1.3004 0.4621 0.4450
1.3572 9.0 135 1.2621 0.4345 0.3903
1.3176 10.0 150 1.2033 0.4552 0.4250
1.2509 11.0 165 1.1942 0.5034 0.4755
1.2781 12.0 180 1.1689 0.4828 0.4651
1.2156 13.0 195 1.1438 0.5034 0.4837
1.1518 14.0 210 1.1187 0.5034 0.4844
1.161 15.0 225 1.1013 0.5034 0.4858
1.1377 16.0 240 1.0882 0.5034 0.4796
1.1634 17.0 255 1.0692 0.5034 0.4860
1.0666 18.0 270 1.0591 0.5034 0.4772
1.1358 19.0 285 1.0455 0.5034 0.4736
1.1118 20.0 300 1.0313 0.5034 0.4872
1.0367 21.0 315 1.0228 0.5034 0.4853
1.0781 22.0 330 1.0106 0.5034 0.4857
1.0346 23.0 345 1.0034 0.5034 0.4935
1.1015 24.0 360 1.0032 0.5034 0.4806
1.0147 25.0 375 0.9911 0.5103 0.4903
1.0144 26.0 390 0.9856 0.5103 0.4972
1.022 27.0 405 0.9835 0.5103 0.4982
1.0218 28.0 420 0.9821 0.5103 0.4955
1.0173 29.0 435 0.9811 0.5103 0.4950
1.0241 30.0 450 0.9814 0.5103 0.4950
Framework versions
  • Transformers 4.24.0
  • Pytorch 2.0.0
  • Datasets 2.10.1
  • Tokenizers 0.11.0

Runs of professorf distilbert-base-uncased-finetuned-IAM on huggingface.co

21
Total runs
0
24-hour runs
3
3-day runs
4
7-day runs
11
30-day runs

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