gokulsrinivasagan / bert_tiny_lda_20_mrpc

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 5
30-day runs: 12
Model's Last Updated: November 22 2024
text-classification

Introduction of bert_tiny_lda_20_mrpc

Model Details of bert_tiny_lda_20_mrpc

bert_tiny_lda_20_mrpc

This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_20 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6247
  • Accuracy: 0.6838
  • F1: 0.8122
  • Combined Score: 0.7480
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: 0.001
  • 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: 30
Training results
Training Loss Epoch Step Accuracy Combined Score F1 Validation Loss
0.6805 1.0 39 0.6838 0.7480 0.8122 0.6292
0.6386 2.0 78 0.6838 0.7480 0.8122 0.6304
0.6329 3.0 117 0.6838 0.7480 0.8122 0.6240
0.6373 4.0 156 0.6838 0.7480 0.8122 0.6240
0.6361 5.0 195 0.6254 0.6838 0.8122 0.7480
0.6372 6.0 234 0.6244 0.6838 0.8122 0.7480
0.6324 7.0 273 0.6249 0.6838 0.8122 0.7480
0.6344 8.0 312 0.6241 0.6838 0.8122 0.7480
0.631 9.0 351 0.6279 0.6838 0.8122 0.7480
Framework versions
  • Transformers 4.46.3
  • Pytorch 2.2.1+cu118
  • Datasets 2.17.0
  • Tokenizers 0.20.3

Runs of gokulsrinivasagan bert_tiny_lda_20_mrpc on huggingface.co

20
Total runs
0
24-hour runs
0
3-day runs
5
7-day runs
12
30-day runs

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