KRB1975 / bert-mrpc-equi-I

huggingface.co
Total runs: 82
24-hour runs: 0
7-day runs: 0
30-day runs: -3
Model's Last Updated: June 25 2025
sentence-similarity

Introduction of bert-mrpc-equi-I

Model Details of bert-mrpc-equi-I

bert-mrpc-equi-I

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: 0.7809
  • Accuracy: 0.8382
  • F1: 0.8870
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: Use OptimizerNames.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: 3.0
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 459 0.5148 0.7770 0.8580
0.5043 2.0 918 0.5140 0.8456 0.8927
0.2697 3.0 1377 0.7809 0.8382 0.8870
Framework versions
  • Transformers 4.52.4
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Runs of KRB1975 bert-mrpc-equi-I on huggingface.co

82
Total runs
0
24-hour runs
-14
3-day runs
0
7-day runs
-3
30-day runs

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bert-mrpc-equi-I huggingface.co

bert-mrpc-equi-I huggingface.co is an AI model on huggingface.co that provides bert-mrpc-equi-I's model effect (), which can be used instantly with this KRB1975 bert-mrpc-equi-I model. huggingface.co supports a free trial of the bert-mrpc-equi-I model, and also provides paid use of the bert-mrpc-equi-I. Support call bert-mrpc-equi-I model through api, including Node.js, Python, http.

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bert-mrpc-equi-I install

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