afaji / distilbert-massive-cheat

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: -1
Model's Last Updated: March 04 2024
text-classification

Introduction of distilbert-massive-cheat

Model Details of distilbert-massive-cheat

results

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

  • Loss: 0.0231
  • F1: 0.9734
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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss F1
3.8235 0.5 185 3.7551 0.0022
3.5949 0.99 370 3.1246 0.0454
2.8705 1.49 555 2.4379 0.1543
2.3444 1.99 740 1.7732 0.2967
1.7151 2.49 925 1.2983 0.4403
1.3959 2.98 1110 0.9965 0.5490
0.9919 3.48 1295 0.7098 0.6880
0.9495 3.98 1480 0.5798 0.7014
0.6 4.48 1665 0.4419 0.7408
0.5952 4.97 1850 0.3653 0.7522
0.3715 5.47 2035 0.3077 0.7957
0.3783 5.97 2220 0.2050 0.8453
0.196 6.47 2405 0.1532 0.8386
0.22 6.96 2590 0.0968 0.8871
0.1117 7.46 2775 0.0725 0.9057
0.1065 7.96 2960 0.0458 0.9265
0.0644 8.45 3145 0.0378 0.9336
0.0526 8.95 3330 0.0324 0.9616
0.0521 9.45 3515 0.0251 0.9708
0.0302 9.95 3700 0.0231 0.9734
Framework versions
  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of afaji distilbert-massive-cheat on huggingface.co

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distilbert-massive-cheat huggingface.co Url

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afaji
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