gte-base-clickbait-task1-20-epoch-post_title

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

  • Loss: 2.1698
  • Accuracy: 0.7125

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: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 200 0.8221 0.67
No log 2.0 400 0.7310 0.7075
0.8027 3.0 600 0.7771 0.6975
0.8027 4.0 800 0.9364 0.6925
0.3367 5.0 1000 1.0995 0.685
0.3367 6.0 1200 1.3589 0.695
0.3367 7.0 1400 1.5960 0.69
0.0659 8.0 1600 1.7658 0.6925
0.0659 9.0 1800 1.8539 0.7075
0.0186 10.0 2000 1.9483 0.705
0.0186 11.0 2200 2.0515 0.69
0.0186 12.0 2400 2.0866 0.6775
0.0073 13.0 2600 2.1074 0.6925
0.0073 14.0 2800 2.1309 0.7075
0.0068 15.0 3000 2.1519 0.72
0.0068 16.0 3200 2.1612 0.7175
0.0068 17.0 3400 2.1304 0.715
0.003 18.0 3600 2.1813 0.71
0.003 19.0 3800 2.1652 0.7125
0.0029 20.0 4000 2.1698 0.7125

Framework versions

  • Transformers 4.44.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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