bert-sst2-sentiment-lora

asm3515/bert-sst2-sentiment-lora

bert-sst2-sentiment-lora is a machine learning model from asm3515. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Sep 23, 2024
Updated: Sep 23, 2024
SHA: 93949ec8

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

bert-sst2-sentiment-lora

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

Loss: 0.2664
Accuracy: 0.9094
F1: 0.9123
Precision: 0.8993
Recall: 0.9257

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3043	1.0	4210	0.2483	0.9128	0.9148	0.9107	0.9189
0.2494	2.0	8420	0.2577	0.9083	0.9109	0.9009	0.9212
0.1861	3.0	12630	0.2664	0.9094	0.9123	0.8993	0.9257

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Sep 23, 2024
Updated: Sep 23, 2024