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arabert_baseline_mechanics_task1_fold1

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  1. README.md +35 -35
README.md CHANGED
@@ -3,20 +3,20 @@ 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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@@ -47,36 +47,36 @@ The following hyperparameters were used during training:
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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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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: arabert_baseline_mechanics_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_mechanics_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: 0.5507
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+ - Qwk: 0.4324
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+ - Mse: 0.5505
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  ## Model description
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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 | 4.9042 | 0.0 | 4.9234 |
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+ | No log | 0.6667 | 4 | 2.0020 | -0.0299 | 2.0282 |
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+ | No log | 1.0 | 6 | 1.2914 | 0.0769 | 1.3136 |
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+ | No log | 1.3333 | 8 | 1.0020 | 0.0500 | 1.0184 |
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+ | No log | 1.6667 | 10 | 0.7738 | 0.125 | 0.7839 |
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+ | No log | 2.0 | 12 | 0.8249 | 0.2105 | 0.8327 |
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+ | No log | 2.3333 | 14 | 1.0118 | 0.0851 | 1.0228 |
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+ | No log | 2.6667 | 16 | 0.7586 | 0.1905 | 0.7651 |
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+ | No log | 3.0 | 18 | 0.4977 | 0.375 | 0.5025 |
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+ | No log | 3.3333 | 20 | 0.5065 | 0.3429 | 0.5107 |
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+ | No log | 3.6667 | 22 | 0.5186 | 0.4118 | 0.5205 |
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+ | No log | 4.0 | 24 | 0.7202 | 0.2564 | 0.7199 |
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+ | No log | 4.3333 | 26 | 0.6120 | 0.3889 | 0.6080 |
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+ | No log | 4.6667 | 28 | 0.5684 | 0.3784 | 0.5637 |
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+ | No log | 5.0 | 30 | 0.5531 | 0.3889 | 0.5482 |
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+ | No log | 5.3333 | 32 | 0.6399 | 0.3784 | 0.6320 |
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+ | No log | 5.6667 | 34 | 0.8218 | 0.2632 | 0.8129 |
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+ | No log | 6.0 | 36 | 0.8057 | 0.2632 | 0.7976 |
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+ | No log | 6.3333 | 38 | 0.6262 | 0.3784 | 0.6183 |
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+ | No log | 6.6667 | 40 | 0.6028 | 0.3889 | 0.5950 |
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+ | No log | 7.0 | 42 | 0.6011 | 0.3889 | 0.5943 |
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+ | No log | 7.3333 | 44 | 0.6488 | 0.3158 | 0.6438 |
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+ | No log | 7.6667 | 46 | 0.5939 | 0.3158 | 0.5907 |
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+ | No log | 8.0 | 48 | 0.5456 | 0.4324 | 0.5440 |
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+ | No log | 8.3333 | 50 | 0.5191 | 0.4324 | 0.5183 |
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+ | No log | 8.6667 | 52 | 0.4890 | 0.4324 | 0.4889 |
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+ | No log | 9.0 | 54 | 0.4994 | 0.4324 | 0.4996 |
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+ | No log | 9.3333 | 56 | 0.5265 | 0.4324 | 0.5267 |
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+ | No log | 9.6667 | 58 | 0.5469 | 0.4324 | 0.5468 |
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+ | No log | 10.0 | 60 | 0.5507 | 0.4324 | 0.5505 |
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  ### Framework versions