gokulsrinivasagan / bert_base_train_stsb

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: January 28 2025
text-classification

Introduction of bert_base_train_stsb

Model Details of bert_base_train_stsb

bert_base_train_stsb

This model is a fine-tuned version of gokulsrinivasagan/bert_base_train on the GLUE STSB dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6937
  • Pearson: 0.5266
  • Spearmanr: 0.5187
  • Combined Score: 0.5227
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: 256
  • eval_batch_size: 256
  • seed: 10
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 50
Training results
Training Loss Epoch Step Validation Loss Pearson Spearmanr Combined Score
2.739 1.0 23 2.3879 0.1468 0.1339 0.1403
1.8273 2.0 46 1.9865 0.3760 0.3603 0.3682
1.2961 3.0 69 2.1709 0.4475 0.4434 0.4454
0.8117 4.0 92 1.9440 0.5121 0.5227 0.5174
0.5628 5.0 115 1.8854 0.5095 0.5080 0.5087
0.3981 6.0 138 1.7934 0.5146 0.5105 0.5125
0.3363 7.0 161 1.7618 0.5151 0.5137 0.5144
0.253 8.0 184 1.6937 0.5266 0.5187 0.5227
0.2142 9.0 207 1.7798 0.5084 0.5013 0.5049
0.1875 10.0 230 1.7994 0.5143 0.5050 0.5097
0.1705 11.0 253 1.8182 0.5105 0.5071 0.5088
0.1594 12.0 276 1.8199 0.5258 0.5222 0.5240
0.1279 13.0 299 1.7347 0.5264 0.5237 0.5250
Framework versions
  • Transformers 4.46.3
  • Pytorch 2.2.1+cu118
  • Datasets 2.17.0
  • Tokenizers 0.20.3

Runs of gokulsrinivasagan bert_base_train_stsb on huggingface.co

3
Total runs
0
24-hour runs
-1
3-day runs
0
7-day runs
0
30-day runs

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