robbert-twitter-sentiment

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

• Loss: 0.6818
• Accuracy: 0.749
• F1: 0.7492
• Precision: 0.7494
• Recall: 0.749

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.7485	1.0	188	0.7670	0.692	0.6915	0.6920	0.692
0.5202	2.0	376	0.6818	0.749	0.7492	0.7494	0.749

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0+cpu
• Datasets 2.0.0
• Tokenizers 0.12.0