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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_organization_task1_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_organization_task1_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: 0.6156 |
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- Qwk: 0.7263 |
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- Mse: 0.5866 |
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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 | 4.0016 | -0.0094 | 4.0420 | |
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| No log | 0.6667 | 4 | 1.5678 | 0.0597 | 1.6106 | |
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| No log | 1.0 | 6 | 1.1107 | 0.125 | 1.1443 | |
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| No log | 1.3333 | 8 | 0.6987 | 0.2286 | 0.7156 | |
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| No log | 1.6667 | 10 | 0.6381 | 0.4661 | 0.6469 | |
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| No log | 2.0 | 12 | 0.5798 | 0.3984 | 0.5877 | |
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| No log | 2.3333 | 14 | 0.4646 | 0.552 | 0.4642 | |
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| No log | 2.6667 | 16 | 0.4683 | 0.6379 | 0.4526 | |
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| No log | 3.0 | 18 | 0.4347 | 0.7154 | 0.4182 | |
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| No log | 3.3333 | 20 | 0.4464 | 0.5977 | 0.4400 | |
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| No log | 3.6667 | 22 | 0.4523 | 0.6957 | 0.4373 | |
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| No log | 4.0 | 24 | 0.6917 | 0.7616 | 0.6664 | |
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| No log | 4.3333 | 26 | 0.8197 | 0.7485 | 0.7888 | |
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| No log | 4.6667 | 28 | 0.7131 | 0.7701 | 0.6829 | |
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| No log | 5.0 | 30 | 0.7249 | 0.7154 | 0.6941 | |
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| No log | 5.3333 | 32 | 0.8136 | 0.7572 | 0.7780 | |
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| No log | 5.6667 | 34 | 0.9048 | 0.7347 | 0.8646 | |
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| No log | 6.0 | 36 | 0.8073 | 0.7347 | 0.7664 | |
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| No log | 6.3333 | 38 | 0.7257 | 0.7840 | 0.6853 | |
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| No log | 6.6667 | 40 | 0.7345 | 0.7840 | 0.6936 | |
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| No log | 7.0 | 42 | 0.7184 | 0.7263 | 0.6797 | |
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| No log | 7.3333 | 44 | 0.6757 | 0.7263 | 0.6409 | |
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| No log | 7.6667 | 46 | 0.7056 | 0.7042 | 0.6701 | |
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| No log | 8.0 | 48 | 0.7177 | 0.7515 | 0.6822 | |
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| No log | 8.3333 | 50 | 0.7076 | 0.7515 | 0.6730 | |
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| No log | 8.6667 | 52 | 0.7003 | 0.7515 | 0.6663 | |
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| No log | 9.0 | 54 | 0.6732 | 0.7515 | 0.6407 | |
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| No log | 9.3333 | 56 | 0.6412 | 0.7042 | 0.6104 | |
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| No log | 9.6667 | 58 | 0.6207 | 0.7263 | 0.5913 | |
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| No log | 10.0 | 60 | 0.6156 | 0.7263 | 0.5866 | |
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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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