afaji / summerschool-bert-massive

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Total runs: 6
24-hour runs: 2
7-day runs: 0
30-day runs: 0
Model's Last Updated: June 15 2024
text-classification

Introduction of summerschool-bert-massive

Model Details of summerschool-bert-massive

summerschool-bert-massive

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

  • Loss: 0.8479
  • Accuracy: 0.8283
  • F1: 0.8139
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
3.8604 0.1389 100 3.3964 0.2720 0.2091
3.046 0.2778 200 2.5353 0.4870 0.3971
2.3977 0.4167 300 2.0141 0.6193 0.5592
1.9293 0.5556 400 1.6738 0.6803 0.6328
1.6997 0.6944 500 1.4307 0.7334 0.6937
1.505 0.8333 600 1.2759 0.7772 0.7469
1.3531 0.9722 700 1.1656 0.7757 0.7445
1.1651 1.1111 800 1.0720 0.7914 0.7707
1.0441 1.25 900 0.9979 0.8032 0.7838
1.0021 1.3889 1000 0.9496 0.8146 0.7977
0.9732 1.5278 1100 0.8996 0.8278 0.8116
0.9025 1.6667 1200 0.8816 0.8214 0.8053
0.8952 1.8056 1300 0.8612 0.8273 0.8128
0.8435 1.9444 1400 0.8479 0.8283 0.8139
Framework versions
  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of afaji summerschool-bert-massive on huggingface.co

6
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2
24-hour runs
1
3-day runs
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7-day runs
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