SetFit_distilbert-base-uncasedsst2train-16-0-finetuned-lora-ag_news

TransferGraph/SetFit_distilbert-base-uncased__sst2__train-16-0-finetuned-lora-ag_news

SetFit_distilbert-base-uncased__sst2__train-16-0-finetuned-lora-ag_news is a text classification model from TransferGraph. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: peft
License: apache-2.0
Access: Public
Created: Feb 27, 2024
Updated: Feb 28, 2024
SHA: 54850c44

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Base models

SetFit/distilbert-base-uncased__sst2__train-16-0

Datasets

ag_news

Model card

From the Hugging Face model README

SetFit_distilbert-base-uncasedsst2train-16-0-finetuned-lora-ag_news

This model is a fine-tuned version of SetFit/distilbert-base-uncased__sst2__train-16-0 on the ag_news dataset. It achieves the following results on the evaluation set:

accuracy: 0.9441

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: 0.0004
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

accuracy	train_loss	epoch
0.2513	None	0
0.9267	0.2476	0
0.9349	0.1913	1
0.9389	0.1691	2
0.9441	0.1534	3

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2

Task: Text Classification
Library: peft
License: apache-2.0
Created: Feb 27, 2024
Updated: Feb 28, 2024