BERT-peft_LoRA

stonedsmv/BERT-peft_LoRA

BERT-peft_LoRA is a machine learning model from stonedsmv. 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: Aug 15, 2024
Updated: Aug 21, 2024
SHA: b3eb0745

Base models

google-bert/bert-base-cased

Model card

From the Hugging Face model README

BERT-peft_LoRA

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

Loss: 1.8855
Accuracy: 0.25

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	22	1.9866	0.1078
No log	2.0	44	1.9385	0.1078
No log	3.0	66	1.9122	0.1912
No log	4.0	88	1.8992	0.2549
No log	5.0	110	1.8919	0.25
No log	6.0	132	1.8881	0.25
No log	7.0	154	1.8862	0.25
No log	8.0	176	1.8855	0.25

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Aug 15, 2024
Updated: Aug 21, 2024