robbertfinetuned1506

Tommert25/robbertfinetuned1506

robbertfinetuned1506 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 mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jun 15, 2023
Updated: Jun 15, 2023
SHA: e15b96cc

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Model card

From the Hugging Face model README

robbertfinetuned1506

This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4020
Precision: 0.6588
Recall: 0.5806
F1: 0.6172
Accuracy: 0.8828

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	73	0.5045	0.5902	0.4871	0.5337	0.86
No log	2.0	146	0.4124	0.6161	0.5612	0.5873	0.8772
No log	3.0	219	0.3974	0.6502	0.5683	0.6065	0.8839
No log	4.0	292	0.4020	0.6588	0.5806	0.6172	0.8828

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Jun 15, 2023
Updated: Jun 15, 2023