metadata

license: mit
base_model: izaitova/robbert-2023-dutch-large-upos
tags:
  - generated_from_trainer
datasets:
  - universal_dependencies
model-index:
  - name: robbert-2023-dutch-large-upos-upos
    results: []

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