abdulmanaam / deberta-base-clickbait-task1-20-epoch-post_title

huggingface.co
Total runs: 3
24-hour runs: -1
7-day runs: -1
30-day runs: -2
Model's Last Updated: August 03 2024

Introduction of deberta-base-clickbait-task1-20-epoch-post_title

Model Details of deberta-base-clickbait-task1-20-epoch-post_title

deberta-base-clickbait-task1-20-epoch-post_title

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

  • Loss: 2.5412
  • Accuracy: 0.7025
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 0.7414 0.7075
No log 2.0 400 0.6972 0.73
0.7437 3.0 600 0.7188 0.73
0.7437 4.0 800 0.9260 0.7225
0.3148 5.0 1000 1.0694 0.715
0.3148 6.0 1200 1.3980 0.735
0.3148 7.0 1400 1.6897 0.7125
0.103 8.0 1600 1.8628 0.7275
0.103 9.0 1800 2.0991 0.7125
0.0456 10.0 2000 2.0466 0.7225
0.0456 11.0 2200 2.2220 0.7225
0.0456 12.0 2400 2.3278 0.6975
0.0222 13.0 2600 2.4275 0.7025
0.0222 14.0 2800 2.4249 0.695
0.0092 15.0 3000 2.4740 0.7275
0.0092 16.0 3200 2.4897 0.7125
0.0092 17.0 3400 2.5280 0.705
0.0058 18.0 3600 2.5360 0.705
0.0058 19.0 3800 2.5075 0.715
0.0039 20.0 4000 2.5412 0.7025
Framework versions
  • Transformers 4.44.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of abdulmanaam deberta-base-clickbait-task1-20-epoch-post_title on huggingface.co

3
Total runs
-1
24-hour runs
-1
3-day runs
-1
7-day runs
-2
30-day runs

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