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my-clf

Text Classification
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bert
Generated from Trainer
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metadata
license: mit
base_model: avsolatorio/GIST-large-Embedding-v0
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: my-clf
    results: []

my-clf

This model is a fine-tuned version of avsolatorio/GIST-large-Embedding-v0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1824
  • F1: 0.6653

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
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss F1
0.1488 1.0 100 1.1930 0.6355
0.1232 2.0 200 0.9133 0.6473
0.0797 3.0 300 1.0238 0.6603
0.0522 4.0 400 0.9822 0.6713
0.0366 5.0 500 1.0208 0.6664
0.0252 6.0 600 0.9856 0.6755
0.0199 7.0 700 1.0628 0.6665
0.0174 8.0 800 1.0667 0.6651
0.0155 9.0 900 1.0934 0.6664
0.0141 10.0 1000 1.1478 0.6676
0.0131 11.0 1100 1.1644 0.6707
0.0124 12.0 1200 1.1661 0.6638
0.0122 13.0 1300 1.1781 0.6648
0.0118 14.0 1400 1.1810 0.6664
0.0116 15.0 1500 1.1824 0.6653

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2