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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_relevance_task8_fold1 |
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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_relevance_task8_fold1 |
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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: 0.2901 |
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- Qwk: 0.4096 |
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- Mse: 0.2901 |
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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 | 0.5 | 2 | 0.6071 | -0.1667 | 0.6071 | |
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| No log | 1.0 | 4 | 0.6292 | -0.0548 | 0.6292 | |
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| No log | 1.5 | 6 | 0.5112 | 0.3467 | 0.5112 | |
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| No log | 2.0 | 8 | 0.2941 | 0.2000 | 0.2941 | |
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| No log | 2.5 | 10 | 0.2595 | 0.3171 | 0.2595 | |
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| No log | 3.0 | 12 | 0.3011 | 0.3171 | 0.3011 | |
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| No log | 3.5 | 14 | 0.2934 | 0.3171 | 0.2934 | |
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| No log | 4.0 | 16 | 0.2489 | 0.3171 | 0.2489 | |
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| No log | 4.5 | 18 | 0.2716 | 0.4096 | 0.2716 | |
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| No log | 5.0 | 20 | 0.3200 | 0.3099 | 0.3200 | |
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| No log | 5.5 | 22 | 0.3416 | 0.2000 | 0.3416 | |
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| No log | 6.0 | 24 | 0.3237 | 0.4096 | 0.3237 | |
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| No log | 6.5 | 26 | 0.2949 | 0.4096 | 0.2949 | |
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| No log | 7.0 | 28 | 0.2821 | 0.4096 | 0.2821 | |
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| No log | 7.5 | 30 | 0.2766 | 0.4096 | 0.2766 | |
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| No log | 8.0 | 32 | 0.2780 | 0.4096 | 0.2780 | |
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| No log | 8.5 | 34 | 0.2807 | 0.4096 | 0.2807 | |
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| No log | 9.0 | 36 | 0.2841 | 0.4096 | 0.2841 | |
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| No log | 9.5 | 38 | 0.2889 | 0.4096 | 0.2889 | |
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| No log | 10.0 | 40 | 0.2901 | 0.4096 | 0.2901 | |
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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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