---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/deberta-v2-xlarge
datasets:
- swag
model-index:
- name: debertav2-lora-swag
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# debertav2-lora-swag

This model is a fine-tuned version of [microsoft/deberta-v2-xlarge](https://huggingface.co/microsoft/deberta-v2-xlarge) on the swag dataset.

## 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
- num_epochs: 3

### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1