distilbert-base-uncased-lora-imdb-sentiment

muneeb-ai/distilbert-base-uncased-lora-imdb-sentiment

distilbert-base-uncased-lora-imdb-sentiment is a machine learning model from muneeb-ai. 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: Feb 25, 2024
Updated: Feb 25, 2024
SHA: 29906e8b

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-lora-imdb-sentiment

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

Loss: 0.6932
Accuracy: 0.4968

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6937	1.0	7500	0.6977	0.5032
0.6952	2.0	15000	0.6931	0.5032
0.6933	3.0	22500	0.6933	0.4968
0.6933	4.0	30000	0.6931	0.5032
0.6932	5.0	37500	0.6931	0.5032
0.6933	6.0	45000	0.6932	0.4968
0.6931	7.0	52500	0.6932	0.4968
0.6933	8.0	60000	0.6931	0.5032
0.6931	9.0	67500	0.6932	0.4968
0.6932	10.0	75000	0.6932	0.4968

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.1

Library: peft
License: apache-2.0
Created: Feb 25, 2024
Updated: Feb 25, 2024