deberta_v3_finetune_hellaswag

Peppizza/deberta_v3_finetune_hellaswag

deberta_v3_finetune_hellaswag is a multiple choice model from Peppizza. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: multiple choice
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Jun 4, 2024
Updated: Jun 4, 2024
SHA: e4cbebe1

Base models

microsoft/deberta-v3-base

Model card

From the Hugging Face model README

deberta_v3_finetune_hellaswag

This model is a fine-tuned version of microsoft/deberta-v3-base on an the hellaswag dataset. It achieves the following results on the evaluation set:

Loss: 0.3999
Accuracy: 0.8765

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5083	0.9996	1247	0.3641	0.8622
0.193	1.9992	2494	0.3999	0.8765

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1

Task: multiple choice
Library: transformers
Type: deberta-v2
License: mit
Created: Jun 4, 2024
Updated: Jun 4, 2024