contract_nli_roberta

This model is a fine-tuned version of cross-encoder/nli-roberta-base on the Contract-NLI dataset. It achieves the following results on the evaluation set:

• Loss: 0.4536

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.6326	1.0	853	0.4608
0.7528	2.0	1706	0.5740
0.5855	3.0	2559	0.4536
0.239	4.0	3412	0.5224
0.2611	5.0	4265	0.5332

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1