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robbert-2023-dutch-large-upos-upos
izaitova/robbert-2023-dutch-large-upos-upos
robbert-2023-dutch-large-upos-upos is a machine learning model from izaitova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024
- SHA
- cb405424
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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 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
- Type
- roberta
- License
- mit
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024