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arabert_baseline_relevance_task2_fold0

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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_relevance_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_relevance_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: 0.0669
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- - Qwk: 0.0233
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- - Mse: 0.0682
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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 | 0.9611 | -0.0186 | 0.9691 |
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- | No log | 0.6667 | 4 | 0.2075 | -0.0851 | 0.2124 |
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- | No log | 1.0 | 6 | 0.1656 | 0.0207 | 0.1701 |
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- | No log | 1.3333 | 8 | 0.1145 | 0.0392 | 0.1165 |
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- | No log | 1.6667 | 10 | 0.1145 | 0.0165 | 0.1165 |
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- | No log | 2.0 | 12 | 0.1921 | 0.0 | 0.1938 |
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- | No log | 2.3333 | 14 | 0.2095 | 0.0 | 0.2110 |
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- | No log | 2.6667 | 16 | 0.1634 | 0.0 | 0.1651 |
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- | No log | 3.0 | 18 | 0.0995 | 0.0 | 0.1002 |
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- | No log | 3.3333 | 20 | 0.1102 | 0.0050 | 0.1101 |
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- | No log | 3.6667 | 22 | 0.1004 | 0.0165 | 0.1002 |
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- | No log | 4.0 | 24 | 0.0724 | 0.0233 | 0.0728 |
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- | No log | 4.3333 | 26 | 0.0523 | 0.0233 | 0.0531 |
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- | No log | 4.6667 | 28 | 0.0574 | 0.0233 | 0.0583 |
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- | No log | 5.0 | 30 | 0.0614 | 0.0233 | 0.0626 |
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- | No log | 5.3333 | 32 | 0.0663 | 0.0233 | 0.0676 |
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- | No log | 5.6667 | 34 | 0.0729 | 0.0233 | 0.0742 |
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- | No log | 6.0 | 36 | 0.0631 | 0.0308 | 0.0641 |
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- | No log | 6.3333 | 38 | 0.0561 | 0.0597 | 0.0563 |
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- | No log | 6.6667 | 40 | 0.0579 | 0.0870 | 0.0579 |
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- | No log | 7.0 | 42 | 0.0563 | 0.0597 | 0.0566 |
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- | No log | 7.3333 | 44 | 0.0596 | 0.0308 | 0.0606 |
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- | No log | 7.6667 | 46 | 0.0661 | 0.0308 | 0.0673 |
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- | No log | 8.0 | 48 | 0.0735 | 0.0050 | 0.0747 |
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- | No log | 8.3333 | 50 | 0.0721 | 0.0105 | 0.0733 |
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- | No log | 8.6667 | 52 | 0.0679 | 0.0233 | 0.0690 |
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- | No log | 9.0 | 54 | 0.0657 | 0.0233 | 0.0669 |
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- | No log | 9.3333 | 56 | 0.0652 | 0.0233 | 0.0664 |
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- | No log | 9.6667 | 58 | 0.0664 | 0.0233 | 0.0677 |
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- | No log | 10.0 | 60 | 0.0669 | 0.0233 | 0.0682 |
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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_relevance_task2_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_relevance_task2_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: 0.1850
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+ - Qwk: 0.0597
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+ - Mse: 0.1935
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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 | 0.9871 | 0.0205 | 0.9763 |
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+ | No log | 0.6667 | 4 | 0.1822 | 0.1049 | 0.1846 |
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+ | No log | 1.0 | 6 | 0.2694 | -0.0176 | 0.2773 |
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+ | No log | 1.3333 | 8 | 0.2612 | -0.0791 | 0.2700 |
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+ | No log | 1.6667 | 10 | 0.2291 | 0.0187 | 0.2405 |
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+ | No log | 2.0 | 12 | 0.1605 | 0.0755 | 0.1675 |
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+ | No log | 2.3333 | 14 | 0.1556 | 0.1049 | 0.1617 |
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+ | No log | 2.6667 | 16 | 0.1455 | 0.1370 | 0.1500 |
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+ | No log | 3.0 | 18 | 0.1386 | 0.0 | 0.1414 |
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+ | No log | 3.3333 | 20 | 0.1423 | 0.0 | 0.1448 |
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+ | No log | 3.6667 | 22 | 0.1393 | 0.0 | 0.1429 |
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+ | No log | 4.0 | 24 | 0.1807 | 0.4815 | 0.1875 |
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+ | No log | 4.3333 | 26 | 0.2622 | 0.0 | 0.2718 |
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+ | No log | 4.6667 | 28 | 0.2372 | 0.0 | 0.2476 |
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+ | No log | 5.0 | 30 | 0.1765 | -0.1290 | 0.1845 |
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+ | No log | 5.3333 | 32 | 0.1633 | 0.0483 | 0.1688 |
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+ | No log | 5.6667 | 34 | 0.1551 | 0.0755 | 0.1613 |
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+ | No log | 6.0 | 36 | 0.1689 | 0.1674 | 0.1757 |
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+ | No log | 6.3333 | 38 | 0.1736 | 0.2687 | 0.1798 |
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+ | No log | 6.6667 | 40 | 0.1678 | 0.2150 | 0.1732 |
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+ | No log | 7.0 | 42 | 0.1581 | 0.1250 | 0.1631 |
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+ | No log | 7.3333 | 44 | 0.1540 | 0.0526 | 0.1591 |
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+ | No log | 7.6667 | 46 | 0.1536 | 0.0526 | 0.1590 |
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+ | No log | 8.0 | 48 | 0.1603 | 0.1250 | 0.1666 |
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+ | No log | 8.3333 | 50 | 0.1716 | 0.2150 | 0.1790 |
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+ | No log | 8.6667 | 52 | 0.1797 | 0.0597 | 0.1878 |
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+ | No log | 9.0 | 54 | 0.1828 | 0.0597 | 0.1911 |
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+ | No log | 9.3333 | 56 | 0.1841 | 0.0597 | 0.1925 |
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+ | No log | 9.6667 | 58 | 0.1849 | 0.0597 | 0.1933 |
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+ | No log | 10.0 | 60 | 0.1850 | 0.0597 | 0.1935 |
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  ### Framework versions