multibertfinetuned1107

Tommert25/multibertfinetuned1107

multibertfinetuned1107 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: Jul 11, 2023
Updated: Jul 26, 2023
SHA: a1229d11

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Base models

Model card

From the Hugging Face model README

multibertfinetuned1107

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: 0.5977
Precision: 0.6463
Recall: 0.6078
F1: 0.6264
Accuracy: 0.8835

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	0.6113	0.6550	0.5854	0.6182	0.8735
No log	2.0	290	0.6457	0.6270	0.5659	0.5949	0.8705
No log	3.0	435	0.5977	0.6463	0.6078	0.6264	0.8835
0.1409	4.0	580	0.6095	0.6752	0.6449	0.6597	0.8865
0.1409	5.0	725	0.6566	0.6680	0.6380	0.6527	0.8851

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 11, 2023
Updated: Jul 26, 2023