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swrao/
contract_nli_roberta

Name: contract_nli_roberta
Availability: InStock

tensorboard

safetensors

roberta

generated_from_trainer

cross-encoder/nli-roberta-base

finetune

apache-2.0

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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

swrao/contract_nli_roberta

contract_nli_roberta

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

swrao/
contract_nli_roberta