multibertfinetuned2906

Tommert25/multibertfinetuned2906

multibertfinetuned2906 is a token classification model from Tommert25. 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: Jun 29, 2023
Updated: Jun 30, 2023
SHA: dcec1d02

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Model card

From the Hugging Face model README

multibertfinetuned2906

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

Loss: 0.3736
Precision: 0.7185
Recall: 0.7180
F1: 0.7182
Accuracy: 0.9254

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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	145	0.3877	0.7219	0.6767	0.6986	0.9218
No log	2.0	290	0.4076	0.72	0.6892	0.7043	0.9137
No log	3.0	435	0.3736	0.7185	0.7180	0.7182	0.9254
0.0637	4.0	580	0.4199	0.7240	0.7128	0.7184	0.9216
0.0637	5.0	725	0.4591	0.7206	0.7121	0.7163	0.9209

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 29, 2023
Updated: Jun 30, 2023