The model is trained considering the annotation of annotators from Brazil only, on instances in Portuguese (PT and BZ linguistic varieties). The 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 Brazil from the MultiPICo dataset (instances in Portuguese). 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
0.0043	1.0	71	0.0042	0.5745	0.3448	0.4348	0.3846
0.0043	2.0	142	0.0041	0.5266	0.3562	0.6783	0.4671
0.0039	3.0	213	0.0039	0.5266	0.3562	0.6783	0.4671
0.004	4.0	284	0.0038	0.6170	0.4110	0.5826	0.4820
0.0036	5.0	355	0.0035	0.6516	0.4452	0.5652	0.4981
0.0035	6.0	426	0.0036	0.4973	0.3630	0.8522	0.5091
0.0031	7.0	497	0.0033	0.5904	0.4156	0.8348	0.5549
0.0027	8.0	568	0.0033	0.6543	0.4460	0.5391	0.4882
0.0027	9.0	639	0.0031	0.6144	0.4257	0.7478	0.5426
0.0023	10.0	710	0.0029	0.6303	0.4388	0.7478	0.5531
0.0021	11.0	781	0.0031	0.6383	0.4348	0.6087	0.5072
0.0018	12.0	852	0.0033	0.6463	0.44	0.5739	0.4981

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1

Multilingual-Perspectivist-NLU/irony_pt_Brazil

irony_pt_Brazil

Model description

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Multilingual-Perspectivist-NLU/
irony_pt_Brazil