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--- |
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base_model: aubmindlab/bert-base-arabertv02 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: arabert_baseline_mechanics_task1_fold0 |
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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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# arabert_baseline_mechanics_task1_fold0 |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co./aubmindlab/bert-base-arabertv02) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6765 |
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- Qwk: 0.4590 |
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- Mse: 0.6922 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:------:| |
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| No log | 0.3333 | 2 | 4.5225 | -0.0658 | 4.5651 | |
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| No log | 0.6667 | 4 | 1.8523 | 0.1370 | 1.8774 | |
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| No log | 1.0 | 6 | 0.9383 | 0.2326 | 0.9611 | |
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| No log | 1.3333 | 8 | 0.8679 | 0.3119 | 0.8947 | |
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| No log | 1.6667 | 10 | 0.8994 | 0.4015 | 0.9273 | |
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| No log | 2.0 | 12 | 1.2109 | 0.0582 | 1.2468 | |
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| No log | 2.3333 | 14 | 1.0652 | 0.0783 | 1.0979 | |
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| No log | 2.6667 | 16 | 0.8918 | 0.4726 | 0.9192 | |
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| No log | 3.0 | 18 | 0.9069 | 0.3931 | 0.9346 | |
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| No log | 3.3333 | 20 | 0.8533 | 0.3636 | 0.8812 | |
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| No log | 3.6667 | 22 | 0.7332 | 0.4582 | 0.7567 | |
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| No log | 4.0 | 24 | 0.7505 | 0.5333 | 0.7733 | |
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| No log | 4.3333 | 26 | 0.7390 | 0.475 | 0.7612 | |
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| No log | 4.6667 | 28 | 0.7760 | 0.3824 | 0.8000 | |
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| No log | 5.0 | 30 | 0.8078 | 0.3913 | 0.8335 | |
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| No log | 5.3333 | 32 | 0.7440 | 0.4450 | 0.7671 | |
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| No log | 5.6667 | 34 | 0.7175 | 0.4906 | 0.7395 | |
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| No log | 6.0 | 36 | 0.7050 | 0.5254 | 0.7261 | |
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| No log | 6.3333 | 38 | 0.7088 | 0.4450 | 0.7299 | |
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| No log | 6.6667 | 40 | 0.6952 | 0.4727 | 0.7141 | |
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| No log | 7.0 | 42 | 0.6847 | 0.4770 | 0.7014 | |
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| No log | 7.3333 | 44 | 0.6839 | 0.5054 | 0.7003 | |
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| No log | 7.6667 | 46 | 0.6830 | 0.4822 | 0.6983 | |
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| No log | 8.0 | 48 | 0.6803 | 0.4822 | 0.6954 | |
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| No log | 8.3333 | 50 | 0.6819 | 0.4279 | 0.6979 | |
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| No log | 8.6667 | 52 | 0.6851 | 0.4360 | 0.7017 | |
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| No log | 9.0 | 54 | 0.6844 | 0.4360 | 0.7010 | |
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| No log | 9.3333 | 56 | 0.6804 | 0.4360 | 0.6965 | |
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| No log | 9.6667 | 58 | 0.6769 | 0.4590 | 0.6926 | |
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| No log | 10.0 | 60 | 0.6765 | 0.4590 | 0.6922 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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