distilbert-base-uncased-lora-text-classification

jmeneu/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification is a machine learning model from jmeneu. 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 5, 2023
Updated: Dec 5, 2023
SHA: e7cff8e0

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Base models

Datasets

imdb

Model card

From the Hugging Face model README

distilbert-base-uncased-lora-text-classification

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

Loss: 0.4297
Accuracy: {'accuracy': 0.86}

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: 0.01
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: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7852	1.0	5000	0.4518	{'accuracy': 0.8486}
0.6289	2.0	10000	0.4492	{'accuracy': 0.8528}
0.0503	3.0	15000	0.4297	{'accuracy': 0.86}

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Training procedure

Framework versions

PEFT 0.6.2

Library: peft
License: apache-2.0
Created: Dec 5, 2023
Updated: Dec 5, 2023