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door_inner_with_SA-bert-base-uncased

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1513

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: 2e-05
  • train_batch_size: 6
  • eval_batch_size: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss
2.5492 1.0 96 2.3831
2.4031 2.0 192 2.2963
2.3391 3.0 288 2.2000
2.2951 4.0 384 2.2505
2.2151 5.0 480 2.1691
2.2237 6.0 576 2.1855
2.1984 7.0 672 2.2558
2.1749 8.0 768 2.2019
2.1475 9.0 864 2.1310
2.1446 10.0 960 2.1334
2.1374 11.0 1056 2.1909
2.1117 12.0 1152 2.2028

Framework versions

  • Transformers 4.19.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.1
  • Tokenizers 0.12.1
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