Alassea_glue_sst_classifier-finetuned-lora-ag_news

TransferGraph/Alassea_glue_sst_classifier-finetuned-lora-ag_news

Alassea_glue_sst_classifier-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 28, 2024
Updated: Feb 28, 2024
SHA: 61346659

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Base models

Alassea/glue_sst_classifier

Datasets

ag_news

Model card

From the Hugging Face model README

Alassea_glue_sst_classifier-finetuned-lora-ag_news

This model is a fine-tuned version of Alassea/glue_sst_classifier on the ag_news dataset. It achieves the following results on the evaluation set:

accuracy: 0.9333

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
0.2512	None	0
0.9183	0.3041	0
0.9253	0.2273	1
0.9322	0.2071	2
0.9333	0.1967	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 28, 2024
Updated: Feb 28, 2024