LKD_Experience

joshnielsen876/LKD_Experience

LKD_Experience is a text classification model from joshnielsen876. Use it when you need a label for a piece of text. 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 14, 2023
Updated: Mar 20, 2023
SHA: a6104072

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Model card

From the Hugging Face model README

LKD_Experience

This model is a fine-tuned version of distilbert-base-uncased on an dataset of Reddit comments and posts related to Living Kidney Donation (LKD). This model identifies documents as either describing a personal experience with LKD, or simply sharing news like headlines and noise/nonsense. The first token/word in each document is the name of the subreddit where the post was written. It achieves the following results on the evaluation set:

Loss: 0.1651
Accuracy: 0.9574

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: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	63	0.3311	0.8723
No log	2.0	126	0.1708	0.9574
No log	3.0	189	0.1651	0.9574

Framework versions

Transformers 4.27.0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 14, 2023
Updated: Mar 20, 2023