roberta-base-lora-text-classification

AurrieMartinez/roberta-base-lora-text-classification

roberta-base-lora-text-classification is a machine learning model from AurrieMartinez. 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 mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Jun 5, 2024
Updated: Jun 5, 2024
SHA: 5f33ab40

Base models

Model card

From the Hugging Face model README

roberta-base-lora-text-classification

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

Loss: 0.4099
Accuracy: {'accuracy': 0.934}

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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.2177	{'accuracy': 0.944}
0.3854	2.0	500	0.2950	{'accuracy': 0.934}
0.3854	3.0	750	0.3770	{'accuracy': 0.931}
0.12	4.0	1000	0.4099	{'accuracy': 0.934}

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: mit
Created: Jun 5, 2024
Updated: Jun 5, 2024