muhtasham / bert-small-finetuned-eoir_privacy

huggingface.co
Total runs: 39
24-hour runs: 0
7-day runs: 2
30-day runs: 31
Model's Last Updated: August 14 2022
text-classification

Introduction of bert-small-finetuned-eoir_privacy

Model Details of bert-small-finetuned-eoir_privacy

bert_uncased_L-4_H-512_A-8-finetuned-eoir_privacy

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the eoir_privacy dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2159
  • Accuracy: 0.9175
  • F1: 0.8093
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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 63 0.2343 0.9125 0.7953
No log 2.0 126 0.2269 0.9110 0.8006
No log 3.0 189 0.2159 0.9175 0.8093
Framework versions
  • Transformers 4.21.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of muhtasham bert-small-finetuned-eoir_privacy on huggingface.co

39
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
31
30-day runs

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