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End of training

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  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: pdelobelle/robbert-v2-dutch-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - recall
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+ - accuracy
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+ model-index:
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+ - name: robbert0410_lrate7.5b4
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # robbert0410_lrate7.5b4
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+
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+ This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4079
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+ - Precisions: 0.7671
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+ - Recall: 0.7305
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+ - F-measure: 0.7455
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+ - Accuracy: 0.8904
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 7.5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
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+ | 0.7027 | 1.0 | 942 | 0.4843 | 0.8628 | 0.6861 | 0.6969 | 0.8785 |
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+ | 0.3645 | 2.0 | 1884 | 0.4079 | 0.7671 | 0.7305 | 0.7455 | 0.8904 |
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+ | 0.238 | 3.0 | 2826 | 0.5338 | 0.7981 | 0.7422 | 0.7486 | 0.8957 |
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+ | 0.1894 | 4.0 | 3768 | 0.6026 | 0.8327 | 0.7495 | 0.7668 | 0.9049 |
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+ | 0.0825 | 5.0 | 4710 | 0.5781 | 0.7825 | 0.7859 | 0.7833 | 0.9055 |
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+ | 0.0523 | 6.0 | 5652 | 0.6107 | 0.8084 | 0.7591 | 0.7712 | 0.9124 |
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+ | 0.0388 | 7.0 | 6594 | 0.6455 | 0.8090 | 0.7802 | 0.7894 | 0.9107 |
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+ | 0.0253 | 8.0 | 7536 | 0.6711 | 0.8168 | 0.7825 | 0.7937 | 0.9135 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.0
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