imdb-lora-1.0

laodaImissU/imdb-lora-1.0

imdb-lora-1.0 is a machine learning model from laodaImissU. 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: Dec 21, 2025
Updated: Dec 22, 2025
SHA: 8c9fb70d

Base models

Model card

From the Hugging Face model README

imdb-lora-1.0

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

Loss: 0.3094
Accuracy: 0.8727
F1: 0.8727

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-06
train_batch_size: 80
eval_batch_size: 80
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6898	1.0	313	0.6817	0.5751	0.5709
0.6537	2.0	626	0.6356	0.6969	0.6942
0.5451	3.0	939	0.4891	0.7919	0.7919
0.4011	4.0	1252	0.3686	0.8477	0.8477
0.3532	5.0	1565	0.3297	0.8636	0.8636
0.3447	6.0	1878	0.3169	0.8688	0.8688
0.3415	7.0	2191	0.3115	0.8717	0.8717
0.3386	8.0	2504	0.3094	0.8727	0.8727

Framework versions

PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.1

Library: peft
License: apache-2.0
Created: Dec 21, 2025
Updated: Dec 22, 2025