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T5-base fine-tuned on CUAD for Legal Contract Review (via QA)

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

  • Loss: 0.2209

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: 4
  • eval_batch_size: 4
  • 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
0.2809 1.0 2795 0.2331
0.2459 2.0 5590 0.2253
0.2355 3.0 8385 0.2220
0.2212 4.0 11180 0.2203
0.2068 5.0 13975 0.2197
0.2085 6.0 16770 0.2194
0.1968 7.0 19565 0.2199
0.1906 8.0 22360 0.2200
0.1909 9.0 25155 0.2208
0.1788 10.0 27950 0.2209

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train mrm8488/T5-base-finetuned-cuad