robbert-2023-dutch-large-upos-upos

This model is a fine-tuned version of izaitova/robbert-2023-dutch-large-upos on the universal_dependencies dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3606
• eval_precision: 0.8288
• eval_recall: 0.7844
• eval_f1: 0.7968
• eval_accuracy: 0.8898
• eval_runtime: 5.7602
• eval_samples_per_second: 121.524
• eval_steps_per_second: 15.277
• step: 0

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1