<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

electra-large

This model is a fine-tuned version of google/electra-large-discriminator on the cuad dataset for the question-answering task.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Contract Understanding Atticus Dataset (CUAD) is an extractive question-answering dataset on legal contracts proposed by the Atticus Project, a non-profit organization of legal experts, designed with the help of many experts in the legal field.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 8
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6.0

Training results

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu117
• Datasets 2.11.0
• Tokenizers 0.13.2