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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_development_task5_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_development_task5_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: 1.0419 |
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- Qwk: 0.5183 |
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- Mse: 1.0419 |
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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 | 1.6380 | 0.0929 | 1.6380 | |
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| No log | 0.6667 | 4 | 1.5106 | 0.0 | 1.5106 | |
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| No log | 1.0 | 6 | 1.3471 | 0.0 | 1.3471 | |
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| No log | 1.3333 | 8 | 1.2335 | 0.0 | 1.2335 | |
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| No log | 1.6667 | 10 | 1.2261 | 0.1576 | 1.2261 | |
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| No log | 2.0 | 12 | 1.2476 | 0.2560 | 1.2476 | |
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| No log | 2.3333 | 14 | 1.2739 | 0.2628 | 1.2739 | |
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| No log | 2.6667 | 16 | 1.2494 | 0.2628 | 1.2494 | |
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| No log | 3.0 | 18 | 1.1857 | 0.4062 | 1.1857 | |
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| No log | 3.3333 | 20 | 1.1005 | 0.3598 | 1.1005 | |
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| No log | 3.6667 | 22 | 1.1228 | 0.3976 | 1.1228 | |
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| No log | 4.0 | 24 | 1.0985 | 0.3976 | 1.0985 | |
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| No log | 4.3333 | 26 | 1.0341 | 0.375 | 1.0341 | |
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| No log | 4.6667 | 28 | 0.9989 | 0.5789 | 0.9989 | |
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| No log | 5.0 | 30 | 0.9963 | 0.5789 | 0.9963 | |
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| No log | 5.3333 | 32 | 0.9852 | 0.5361 | 0.9852 | |
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| No log | 5.6667 | 34 | 0.9961 | 0.5991 | 0.9961 | |
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| No log | 6.0 | 36 | 1.0348 | 0.4725 | 1.0348 | |
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| No log | 6.3333 | 38 | 1.0147 | 0.5238 | 1.0147 | |
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| No log | 6.6667 | 40 | 1.0123 | 0.5238 | 1.0123 | |
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| No log | 7.0 | 42 | 0.9900 | 0.5833 | 0.9900 | |
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| No log | 7.3333 | 44 | 0.9764 | 0.4872 | 0.9764 | |
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| No log | 7.6667 | 46 | 0.9850 | 0.4872 | 0.9850 | |
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| No log | 8.0 | 48 | 0.9775 | 0.5327 | 0.9775 | |
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| No log | 8.3333 | 50 | 0.9860 | 0.5047 | 0.9860 | |
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| No log | 8.6667 | 52 | 0.9983 | 0.5183 | 0.9983 | |
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| No log | 9.0 | 54 | 1.0128 | 0.5183 | 1.0128 | |
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| No log | 9.3333 | 56 | 1.0321 | 0.5183 | 1.0321 | |
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| No log | 9.6667 | 58 | 1.0407 | 0.5183 | 1.0407 | |
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| No log | 10.0 | 60 | 1.0419 | 0.5183 | 1.0419 | |
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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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