The model is trained considering the annotation of annotators from the Netherlands only, on instances in Dutch. The Dutch annotations from these annotators are aggregated using majority voting and then used to train the model.

Training and evaluation data

The model has been trained on the annotation from annotators from the Netherlands from the MultiPICo dataset (instances in Dutch). The data has been randomly split into a train and a validation set.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0045	1.0	46	0.0043	0.7008	0.1562	0.0980	0.1205
0.0041	2.0	92	0.0042	0.7336	0.2083	0.0980	0.1333
0.004	3.0	138	0.0041	0.6393	0.2239	0.2941	0.2542
0.004	4.0	184	0.0039	0.4754	0.2484	0.7451	0.3725
0.0037	5.0	230	0.0037	0.5697	0.2589	0.5686	0.3558
0.0034	6.0	276	0.0036	0.4713	0.2532	0.7843	0.3828
0.0036	7.0	322	0.0036	0.5656	0.2477	0.5294	0.3375
0.0037	8.0	368	0.0036	0.5	0.2482	0.6863	0.3646
0.0031	9.0	414	0.0035	0.5287	0.2612	0.6863	0.3784
0.0034	10.0	460	0.0036	0.5369	0.25	0.6078	0.3543
0.0029	11.0	506	0.0035	0.5410	0.256	0.6275	0.3636
0.003	12.0	552	0.0032	0.5492	0.2677	0.6667	0.3820
0.0028	13.0	598	0.0030	0.5164	0.2752	0.8039	0.41
0.0026	14.0	644	0.0028	0.5574	0.2857	0.7451	0.4130
0.0024	15.0	690	0.0030	0.5820	0.2893	0.6863	0.4070
0.0023	16.0	736	0.0030	0.5738	0.2735	0.6275	0.3810

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1

Multilingual-Perspectivist-NLU/irony_nl_Netherlands

irony_nl_Netherlands

Model description

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Multilingual-Perspectivist-NLU/
irony_nl_Netherlands