bert-base-cased-tokenCLS-BATTERY

jonas-luehrs/bert-base-cased-tokenCLS-BATTERY

bert-base-cased-tokenCLS-BATTERY is a token classification model from jonas-luehrs. Use it when you need labels on individual words, such as names. 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: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Sep 20, 2023
Updated: Sep 22, 2023
SHA: 670e9f8b

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Base models

Model card

From the Hugging Face model README

bert-base-cased-tokenCLS-BATTERY

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: 0.0721
Precision: 0.7139
Recall: 0.8344
F1: 0.7694
Accuracy: 0.9771

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
No log	1.0	338	0.0863	0.6986	0.7607	0.7283	0.9722
0.1495	2.0	676	0.0692	0.6966	0.8098	0.7489	0.9763
0.0533	3.0	1014	0.0721	0.7139	0.8344	0.7694	0.9771

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 20, 2023
Updated: Sep 22, 2023