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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_vocabulary_task3_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_vocabulary_task3_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: 0.2325 |
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- Qwk: 0.2857 |
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- Mse: 0.2437 |
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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 | 0.6667 | 2 | 3.6484 | 0.0328 | 3.6411 | |
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| No log | 1.3333 | 4 | 1.3150 | 0.0541 | 1.3226 | |
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| No log | 2.0 | 6 | 0.2810 | 0.0 | 0.2941 | |
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| No log | 2.6667 | 8 | 0.2059 | 0.0 | 0.2199 | |
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| No log | 3.3333 | 10 | 0.2435 | 0.0 | 0.2582 | |
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| No log | 4.0 | 12 | 0.2557 | 0.0 | 0.2715 | |
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| No log | 4.6667 | 14 | 0.2138 | 0.0 | 0.2290 | |
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| No log | 5.3333 | 16 | 0.2031 | 0.0 | 0.2168 | |
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| No log | 6.0 | 18 | 0.2284 | 0.0 | 0.2412 | |
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| No log | 6.6667 | 20 | 0.2060 | 0.2857 | 0.2178 | |
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| No log | 7.3333 | 22 | 0.2168 | 0.2857 | 0.2280 | |
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| No log | 8.0 | 24 | 0.2244 | 0.2857 | 0.2354 | |
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| No log | 8.6667 | 26 | 0.2313 | 0.2857 | 0.2422 | |
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| No log | 9.3333 | 28 | 0.2311 | 0.2857 | 0.2422 | |
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| No log | 10.0 | 30 | 0.2325 | 0.2857 | 0.2437 | |
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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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