SMM-classifier-1

Kuaaangwen/SMM-classifier-1

SMM-classifier-1 is a text classification model from Kuaaangwen. 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: Dec 9, 2022
Updated: Dec 9, 2022
SHA: 83acfaf6

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Model card

From the Hugging Face model README

SMM-classifier-1

This model is a fine-tuned version of Kuaaangwen/bert-base-cased-finetuned-chemistry on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5506
Accuracy: 0.8333

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	7	0.2044	0.8333
No log	2.0	14	0.3574	0.8333
No log	3.0	21	0.1551	0.8333
No log	4.0	28	0.9122	0.8333
No log	5.0	35	0.9043	0.8333
No log	6.0	42	0.7262	0.8333
No log	7.0	49	0.5977	0.8333
No log	8.0	56	0.5567	0.8333
No log	9.0	63	0.5484	0.8333
No log	10.0	70	0.5506	0.8333

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 9, 2022
Updated: Dec 9, 2022