distilbert-base-uncased-lora-text-classification

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

distilbert-base-uncased-lora-text-classification is a machine learning model from Kelum. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

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Public

Updated Sep 20, 2023

Repo size

2.5 MB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Sep 20, 2023
Updated: Sep 20, 2023
SHA: b9c46f37

Base models

Datasets

glue

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 glue dataset. It achieves the following results on the evaluation set:

Loss: 0.6525
Accuracy: 0.7580

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
0.5409	1.0	16838	0.6491	0.7569
0.6219	2.0	33676	0.6801	0.7557
0.5441	3.0	50514	0.6795	0.7259
0.5468	4.0	67352	0.6557	0.7305
0.6058	5.0	84190	0.6806	0.7156
0.5519	6.0	101028	0.6796	0.7225
0.5084	7.0	117866	0.7562	0.7259
0.5687	8.0	134704	0.6804	0.7317
0.4703	9.0	151542	0.6986	0.7282
0.5249	10.0	168380	0.6525	0.7580

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

License: apache-2.0
Created: Sep 20, 2023
Updated: Sep 20, 2023