fine-tuned-bert-base-uncased-swag-peft

amritpuhan/fine-tuned-bert-base-uncased-swag-peft

fine-tuned-bert-base-uncased-swag-peft is a machine learning model from amritpuhan. 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: Jun 13, 2024
Updated: Jun 14, 2024
SHA: f63090ea

Base models

Datasets

swag

Model card

From the Hugging Face model README

fine-tuned-bert-base-uncased-swag-peft

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

Loss: 0.6557
Accuracy: 0.7483

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: 1.5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0316	1.0	1150	0.8202	0.6860
0.9261	2.0	2300	0.7423	0.7144
0.8862	3.0	3450	0.7114	0.7268
0.8612	4.0	4600	0.6924	0.7347
0.8637	5.0	5750	0.6819	0.7393
0.8541	6.0	6900	0.6691	0.7441
0.8369	7.0	8050	0.6635	0.7464
0.8349	8.0	9200	0.6591	0.7475
0.8302	9.0	10350	0.6572	0.7483
0.8333	10.0	11500	0.6557	0.7483

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jun 13, 2024
Updated: Jun 14, 2024