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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
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Dataset used to train btjiong/robbert-twitter-sentiment

Evaluation results