workornot

MaggieZhang/workornot

workornot is a machine learning model from MaggieZhang. 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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Hugging Face

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.safetensors2.4 MB · 72%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Feb 21, 2024
Updated: Feb 22, 2024
SHA: 7d20f84b

Base models

Model card

From the Hugging Face model README

workornot

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: 0.3372
Accuracy: 0.856

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-05
train_batch_size: 8
eval_batch_size: 8
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
No log	1.0	125	0.6385	0.787
No log	2.0	250	0.5578	0.808
No log	3.0	375	0.4489	0.818
0.5423	4.0	500	0.3610	0.843
0.5423	5.0	625	0.3374	0.855
0.5423	6.0	750	0.3365	0.854
0.5423	7.0	875	0.3331	0.857
0.3101	8.0	1000	0.3359	0.857
0.3101	9.0	1125	0.3377	0.855
0.3101	10.0	1250	0.3372	0.856

Framework versions

PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Feb 21, 2024
Updated: Feb 22, 2024