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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robbert-2023-dutch-large-upos-upos
This model is a fine-tuned version of [izaitova/robbert-2023-dutch-large-upos](https://huggingface.co/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
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