laptop_sentence_classfication

TirkNork/laptop_sentence_classfication

laptop_sentence_classfication is a text classification model from TirkNork. 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: bert
Access: Public
Created: May 25, 2023
Updated: May 25, 2023
SHA: 95382e1a

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Model card

From the Hugging Face model README

laptop_sentence_classfication

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6946
Accuracy: 0.8

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: 16
eval_batch_size: 16
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	33	0.7876	0.6231
No log	2.0	66	0.6364	0.7308
No log	3.0	99	0.5647	0.7308
No log	4.0	132	0.5991	0.7846
No log	5.0	165	0.5773	0.7769
No log	6.0	198	0.5898	0.8
No log	7.0	231	0.7182	0.7769
No log	8.0	264	0.7451	0.7846
No log	9.0	297	0.7192	0.7923
No log	10.0	330	0.6946	0.8

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 25, 2023
Updated: May 25, 2023