---
license: apache-2.0
base_model: cross-encoder/nli-deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer
  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. -->

# test_trainer

This model is a fine-tuned version of [cross-encoder/nli-deberta-v3-base](https://huggingface.co./cross-encoder/nli-deberta-v3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8729
- Accuracy: 0.6835

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.9980 | 245  | 1.2681          | 0.5688   |
| No log        | 2.0    | 491  | 1.0121          | 0.6651   |
| 1.1214        | 2.9939 | 735  | 0.8729          | 0.6835   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1