TehranNLP-org / bert-large-mnli

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 1
Model's Last Updated: January 20 2023
text-classification

Introduction of bert-large-mnli

Model Details of bert-large-mnli

42

This model is a fine-tuned version of bert-large-uncased on the MNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8447
  • Accuracy: 0.8634
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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • distributed_type: not_parallel
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.4274 1.0 12272 0.3892 0.8524
0.2844 2.0 24544 0.4079 0.8565
0.1589 3.0 36816 0.5033 0.8527
0.0877 4.0 49088 0.6624 0.8576
0.0426 5.0 61360 0.8447 0.8634
Framework versions
  • Transformers 4.17.0
  • Pytorch 1.10.0+cu113
  • Datasets 2.7.1
  • Tokenizers 0.11.6

Runs of TehranNLP-org bert-large-mnli on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
1
30-day runs

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