predict_department_v2

evangeliazve/predict_department_v2

predict_department_v2 is a text classification model from evangeliazve. 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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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 21, 2022
Updated: Dec 23, 2022
SHA: 0cffc777

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Model card

From the Hugging Face model README

predict_department_v2

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

Loss: 0.3698
F1: 0.9045

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3916	1.0	11724	0.3966	0.8752
0.3037	2.0	23448	0.3324	0.8948
0.2323	3.0	35172	0.3351	0.9023
0.1675	4.0	46896	0.3698	0.9045

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 21, 2022
Updated: Dec 23, 2022