bert-base-multilingual-cased-finetuned-ijelid

fathan/bert-base-multilingual-cased-finetuned-ijelid

bert-base-multilingual-cased-finetuned-ijelid is a token classification model from fathan. 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: Jan 21, 2023
Updated: Feb 14, 2023
SHA: 5b046770

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Model card

From the Hugging Face model README

bert-base-multilingual-cased-finetuned-ijelid

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

Loss: 0.5701
Precision: 0.9255
Recall: 0.9206
F1: 0.9229
Accuracy: 0.9449

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: 3e-05
train_batch_size: 256
eval_batch_size: 128
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	25	0.5654	0.9300	0.9143	0.9219	0.9443
No log	2.0	50	0.5853	0.9272	0.9162	0.9214	0.9437
No log	3.0	75	0.5760	0.9275	0.9199	0.9235	0.9445
No log	4.0	100	0.5733	0.9254	0.9209	0.9230	0.9445
No log	5.0	125	0.5701	0.9255	0.9206	0.9229	0.9449

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu102
Datasets 2.5.1
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
Created: Jan 21, 2023
Updated: Feb 14, 2023