metadata

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

debertav2-lora-swag

This model is a fine-tuned version of 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