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