irony_de_Germany

irony_de_Germany

This model is a fine-tuned version of roberta-base on part of the MultiPICo dataset. It achieves the following results on the evaluation set:

• Loss: 0.0040
• Accuracy: 0.5332
• Precision: 0.3392
• Recall: 0.8
• F1: 0.4764

Model description

The model is trained considering the annotation of annotators from Germany only, on instances in German (all 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 Germany from the MultiPICo dataset. 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

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.1