bert-small-finetuned-cuad-full-longer

This model is a fine-tuned version of muhtasham/bert-small-finetuned-cuad-full on the cuad dataset. It achieves the following results on the evaluation set:

• Loss: 0.0295

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.0306	1.0	23785	0.0263
0.025	2.0	47570	0.0275
0.022	3.0	71355	0.0295

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1