bert-incl

Bainbridge/bert-incl

bert-incl is a text classification model from Bainbridge. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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: mit
Model type: bert
Access: Public
Created: Apr 29, 2023
Updated: Apr 29, 2023
SHA: 9d34a24f

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Model card

From the Hugging Face model README

bert-incl

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

Loss: 0.0004
Acc: 1.0
F1 Macro: 1.0
F1 Weight: 1.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Acc	F1 Macro	F1 Weight
0.684	0.67	20	0.6378	0.5588	0.3585	0.4007
0.4681	1.33	40	0.1762	0.9559	0.9547	0.9556
0.0989	2.0	60	0.0058	1.0	1.0	1.0
0.0032	2.67	80	0.0009	1.0	1.0	1.0
0.0011	3.33	100	0.0005	1.0	1.0	1.0
0.0007	4.0	120	0.0004	1.0	1.0	1.0
0.0007	4.67	140	0.0004	1.0	1.0	1.0

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Apr 29, 2023
Updated: Apr 29, 2023