robbertfinetuned1406

Tommert25/robbertfinetuned1406

robbertfinetuned1406 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 14, 2023
Updated: Jun 14, 2023
SHA: bfecf5c9

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Model card

From the Hugging Face model README

robbertfinetuned1406

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: 1.0350
Precision: 0.6604
Recall: 0.6291
F1: 0.6444
Accuracy: 0.8697

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	1.0577	0.6605	0.6074	0.6328	0.8632
No log	2.0	146	1.1133	0.6470	0.6017	0.6235	0.8606
No log	3.0	219	1.0416	0.6539	0.6310	0.6423	0.8675
No log	4.0	292	1.0350	0.6604	0.6291	0.6444	0.8697

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Jun 14, 2023
Updated: Jun 14, 2023