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arabert_baseline_mechanics_task1_fold0

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  1. README.md +37 -37
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_style_task7_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_style_task7_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: 0.3701
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- - Qwk: 0.7283
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- - Mse: 0.3603
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  ## Model description
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@@ -45,38 +45,38 @@ The following hyperparameters were used during training:
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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 | 0.7720 | 0.3388 | 0.7758 |
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- | No log | 0.6667 | 4 | 0.5488 | 0.6361 | 0.5756 |
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- | No log | 1.0 | 6 | 0.6199 | 0.6083 | 0.6502 |
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- | No log | 1.3333 | 8 | 0.5891 | 0.3780 | 0.5962 |
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- | No log | 1.6667 | 10 | 0.5013 | 0.5556 | 0.5111 |
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- | No log | 2.0 | 12 | 0.4841 | 0.7640 | 0.4991 |
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- | No log | 2.3333 | 14 | 0.4386 | 0.784 | 0.4514 |
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- | No log | 2.6667 | 16 | 0.4343 | 0.6667 | 0.4393 |
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- | No log | 3.0 | 18 | 0.4876 | 0.6206 | 0.4868 |
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- | No log | 3.3333 | 20 | 0.4572 | 0.6294 | 0.4528 |
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- | No log | 3.6667 | 22 | 0.3651 | 0.6769 | 0.3604 |
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- | No log | 4.0 | 24 | 0.3743 | 0.6434 | 0.3662 |
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- | No log | 4.3333 | 26 | 0.4705 | 0.6261 | 0.4557 |
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- | No log | 4.6667 | 28 | 0.5940 | 0.5033 | 0.5754 |
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- | No log | 5.0 | 30 | 0.5564 | 0.5650 | 0.5374 |
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- | No log | 5.3333 | 32 | 0.4207 | 0.6607 | 0.4059 |
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- | No log | 5.6667 | 34 | 0.3696 | 0.6637 | 0.3577 |
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- | No log | 6.0 | 36 | 0.3816 | 0.6607 | 0.3687 |
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- | No log | 6.3333 | 38 | 0.4231 | 0.6261 | 0.4080 |
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- | No log | 6.6667 | 40 | 0.4191 | 0.6261 | 0.4044 |
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- | No log | 7.0 | 42 | 0.4158 | 0.6261 | 0.4016 |
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- | No log | 7.3333 | 44 | 0.4009 | 0.6261 | 0.3875 |
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- | No log | 7.6667 | 46 | 0.3811 | 0.6474 | 0.3694 |
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- | No log | 8.0 | 48 | 0.3746 | 0.6810 | 0.3639 |
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- | No log | 8.3333 | 50 | 0.3601 | 0.7283 | 0.3514 |
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- | No log | 8.6667 | 52 | 0.3557 | 0.7283 | 0.3474 |
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- | No log | 9.0 | 54 | 0.3591 | 0.7283 | 0.3506 |
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- | No log | 9.3333 | 56 | 0.3648 | 0.7283 | 0.3558 |
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- | No log | 9.6667 | 58 | 0.3690 | 0.7283 | 0.3593 |
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- | No log | 10.0 | 60 | 0.3701 | 0.7283 | 0.3603 |
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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_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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  ### 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 | 4.5225 | -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