distilbert-adapter-finetuned

bradyprice19/distilbert-adapter-finetuned

distilbert-adapter-finetuned is a machine learning model from bradyprice19. 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 transformers. 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 Dec 6, 2024

Repo size

100 MB

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Public

Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Access: Public
Created: Dec 6, 2024
Updated: Dec 6, 2024
SHA: 5082986d

Base models

Model card

From the Hugging Face model README

distilbert-adapter-finetuned

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: 0.2220
Accuracy: 0.9221

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2727	1.0	3750	0.2625	0.9099
0.2411	2.0	7500	0.2362	0.9180
0.2347	3.0	11250	0.2283	0.9205
0.2215	4.0	15000	0.2234	0.9209
0.215	5.0	18750	0.2220	0.9221

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
License: apache-2.0
Created: Dec 6, 2024
Updated: Dec 6, 2024