distilbert-base-uncased-textclassification_ptuning

Yeji-Seong/distilbert-base-uncased-textclassification_ptuning

distilbert-base-uncased-textclassification_ptuning is a machine learning model from Yeji-Seong. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

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

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jan 15, 2024
Updated: Jan 22, 2024
SHA: b9c7d239

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-textclassification_ptuning

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2493
Accuracy: 0.8983

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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
0.2545	1.0	1563	0.2501	0.8978
0.2592	2.0	3126	0.2493	0.8983

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.0.0+cu117
Datasets 2.16.1
Tokenizers 0.15.0

Library: peft
License: apache-2.0
Created: Jan 15, 2024
Updated: Jan 22, 2024