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nosql-identifier-bert

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
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metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: nosql-identifier-bert
    results: []

nosql-identifier-bert

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: 0.1785
  • Accuracy: 0.975

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
  • 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 40 0.5065 0.9
No log 2.0 80 0.1797 0.975
No log 3.0 120 0.3728 0.8
No log 4.0 160 0.1881 0.925
No log 5.0 200 0.1524 0.95
No log 6.0 240 0.1662 0.9
No log 7.0 280 0.2983 0.9
No log 8.0 320 0.1435 0.975
No log 9.0 360 0.1648 0.975
No log 10.0 400 0.1821 0.975
No log 11.0 440 0.3313 0.95
No log 12.0 480 0.2157 0.95
0.2728 13.0 520 0.3267 0.95
0.2728 14.0 560 0.1715 0.975
0.2728 15.0 600 0.1850 0.975
0.2728 16.0 640 0.2443 0.95
0.2728 17.0 680 0.1755 0.975
0.2728 18.0 720 0.1747 0.975
0.2728 19.0 760 0.1763 0.975
0.2728 20.0 800 0.1785 0.975

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.11.0