BERT_B08

LazzeKappa/BERT_B08

BERT_B08 is a token classification model from LazzeKappa. 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: distilbert
Access: Public
Created: Nov 6, 2023
Updated: Nov 6, 2023
SHA: 70733f68

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Base models

Model card

From the Hugging Face model README

BERT_B08

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3054
Precision: 0.6335
Recall: 0.6849
F1: 0.6582
Accuracy: 0.9094

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: 4e-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
0.3792	1.0	92	0.3446	0.6004	0.5913	0.5958	0.8982
0.2782	2.0	184	0.2911	0.6485	0.6664	0.6573	0.9110
0.1736	3.0	276	0.2886	0.6570	0.6730	0.6649	0.9123
0.1434	4.0	368	0.2974	0.6481	0.6763	0.6619	0.9109
0.1422	5.0	460	0.3054	0.6335	0.6849	0.6582	0.9094

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 6, 2023
Updated: Nov 6, 2023