bert-base-cased

doodlevelyn/bert-base-cased

bert-base-cased is a token classification model from doodlevelyn. Use it when you need labels on individual words, such as names. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Oct 26, 2022
Updated: Oct 26, 2022
SHA: c7a2e89c

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Model card

From the Hugging Face model README

bert-base-cased

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4145
Precision: 0.4029
Recall: 0.2740
F1: 0.3262
Accuracy: 0.9602

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0002	1.0	7365	0.3903	0.4151	0.2241	0.2911	0.9574
0.0003	2.0	14730	0.4288	0.3681	0.2006	0.2597	0.9580
0.0	3.0	22095	0.4145	0.4029	0.2740	0.3262	0.9602

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Token Classification
Library: transformers
Type: bert
Created: Oct 26, 2022
Updated: Oct 26, 2022