---
license: apache-2.0
base_model: cross-encoder/nli-roberta-base
tags:
- generated_from_trainer
model-index:
- name: contract_nli_roberta
  results: []
---

<!-- 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. -->

# contract_nli_roberta

This model is a fine-tuned version of [cross-encoder/nli-roberta-base](https://huggingface.co/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