bert-base-cased-textCLS-PETROCHEMICAL

jonas-luehrs/bert-base-cased-textCLS-PETROCHEMICAL

bert-base-cased-textCLS-PETROCHEMICAL is a text classification model from jonas-luehrs. 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: Sep 21, 2023
Updated: Sep 22, 2023
SHA: 49dca7e7

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Base models

Model card

From the Hugging Face model README

bert-base-cased-textCLS-PETROCHEMICAL

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

Loss: 0.6099
F1: 0.7682
Precision: 0.7589
Recall: 0.7838
Accuracy: 0.7838

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall	Accuracy
1.3916	1.0	125	0.9085	0.7074	0.7068	0.7297	0.7297
0.7423	2.0	250	0.6693	0.7730	0.7632	0.7883	0.7883
0.5292	3.0	375	0.6099	0.7682	0.7589	0.7838	0.7838

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 21, 2023
Updated: Sep 22, 2023