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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: robbertfinetuned0906 |
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results: [] |
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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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# robbertfinetuned0906 |
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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: 0.5859 |
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- Precision: 0.7151 |
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- Recall: 0.7079 |
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- F1: 0.7115 |
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- Accuracy: 0.9186 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.046 | 1.0 | 580 | 0.5770 | 0.6912 | 0.6633 | 0.6769 | 0.9102 | |
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| 0.0405 | 2.0 | 1160 | 0.5704 | 0.6996 | 0.6835 | 0.6914 | 0.9133 | |
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| 0.0346 | 3.0 | 1740 | 0.5786 | 0.6951 | 0.7201 | 0.7074 | 0.9130 | |
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| 0.0242 | 4.0 | 2320 | 0.5453 | 0.7098 | 0.7216 | 0.7157 | 0.9186 | |
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| 0.0184 | 5.0 | 2900 | 0.6058 | 0.7118 | 0.7036 | 0.7077 | 0.9189 | |
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| 0.0087 | 6.0 | 3480 | 0.5859 | 0.7151 | 0.7079 | 0.7115 | 0.9186 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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