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t5-small_crows_pairs_finetuned_HBRPOI

This model is a fine-tuned version of t5-small on the crows_pairs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3485
  • Accuracy: 0.6490
  • Tp: 0.4934
  • Tn: 0.1556
  • Fp: 0.3411
  • Fn: 0.0099

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: 0.0005
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy Tp Tn Fp Fn
0.4336 1.05 20 0.3559 0.5033 0.5033 0.0 0.4967 0.0
0.3726 2.11 40 0.3608 0.5033 0.5033 0.0 0.4967 0.0
0.317 3.16 60 0.3112 0.5099 0.5033 0.0066 0.4901 0.0
0.259 4.21 80 0.2822 0.5662 0.5 0.0662 0.4305 0.0033
0.2439 5.26 100 0.3249 0.7119 0.4934 0.2185 0.2781 0.0099
0.1824 6.32 120 0.3082 0.6093 0.4934 0.1159 0.3808 0.0099
0.1549 7.37 140 0.3217 0.5960 0.4967 0.0993 0.3974 0.0066
0.1312 8.42 160 0.3365 0.6325 0.4934 0.1391 0.3576 0.0099
0.1158 9.47 180 0.3485 0.6490 0.4934 0.1556 0.3411 0.0099

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train henryscheible/t5-small_crows_pairs_finetuned_HBRPOI

Evaluation results