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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
base_model: nouman-10/unsupervised-exist
model-index:
  - name: unsupervised-fine-tune-bert-exist-5
    results: []

unsupervised-fine-tune-bert-exist-5

This model is a fine-tuned version of nouman-10/unsupervised-exist on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8920
  • Accuracy: 0.6337
  • F1: 0.6337

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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 194 0.9582 0.6337 0.6337
No log 2.0 388 0.9158 0.6657 0.6657
0.9283 3.0 582 1.0225 0.6453 0.6453
0.9283 4.0 776 1.1757 0.6453 0.6453
0.9283 5.0 970 1.4833 0.6541 0.6541
0.3 6.0 1164 1.5788 0.6424 0.6424
0.3 7.0 1358 1.7086 0.6424 0.6424
0.0837 8.0 1552 1.7899 0.625 0.625
0.0837 9.0 1746 1.8782 0.6366 0.6366
0.0837 10.0 1940 1.8920 0.6337 0.6337

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2