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arabert_baseline_relevance_task1_fold1

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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_relevance_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_relevance_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: 0.1576
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- - Qwk: 0.2222
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- - Mse: 0.1601
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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 | 0.9197 | 0.0278 | 0.9116 |
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- | No log | 0.6667 | 4 | 0.1428 | 0.2105 | 0.1467 |
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- | No log | 1.0 | 6 | 0.1823 | 0.3467 | 0.1888 |
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- | No log | 1.3333 | 8 | 0.1817 | 0.0808 | 0.1888 |
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- | No log | 1.6667 | 10 | 0.2156 | 0.0 | 0.2206 |
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- | No log | 2.0 | 12 | 0.1825 | 0.0 | 0.1849 |
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- | No log | 2.3333 | 14 | 0.1725 | 0.0392 | 0.1727 |
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- | No log | 2.6667 | 16 | 0.2068 | 0.0392 | 0.2060 |
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- | No log | 3.0 | 18 | 0.1522 | 0.0808 | 0.1531 |
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- | No log | 3.3333 | 20 | 0.1588 | 0.1250 | 0.1623 |
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- | No log | 3.6667 | 22 | 0.1635 | 0.1250 | 0.1682 |
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- | No log | 4.0 | 24 | 0.1609 | 0.0808 | 0.1658 |
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- | No log | 4.3333 | 26 | 0.1526 | 0.0808 | 0.1565 |
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- | No log | 4.6667 | 28 | 0.1503 | 0.0392 | 0.1529 |
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- | No log | 5.0 | 30 | 0.1548 | 0.0392 | 0.1558 |
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- | No log | 5.3333 | 32 | 0.1602 | 0.0808 | 0.1608 |
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- | No log | 5.6667 | 34 | 0.1480 | 0.1720 | 0.1493 |
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- | No log | 6.0 | 36 | 0.1509 | 0.2759 | 0.1526 |
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- | No log | 6.3333 | 38 | 0.1504 | 0.3333 | 0.1525 |
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- | No log | 6.6667 | 40 | 0.1502 | 0.3333 | 0.1526 |
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- | No log | 7.0 | 42 | 0.1518 | 0.1720 | 0.1539 |
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- | No log | 7.3333 | 44 | 0.1602 | 0.1250 | 0.1617 |
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- | No log | 7.6667 | 46 | 0.1798 | 0.1250 | 0.1806 |
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- | No log | 8.0 | 48 | 0.1921 | 0.2364 | 0.1927 |
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- | No log | 8.3333 | 50 | 0.1893 | 0.2364 | 0.1900 |
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- | No log | 8.6667 | 52 | 0.1769 | 0.2222 | 0.1778 |
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- | No log | 9.0 | 54 | 0.1663 | 0.2759 | 0.1678 |
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- | No log | 9.3333 | 56 | 0.1609 | 0.2759 | 0.1629 |
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- | No log | 9.6667 | 58 | 0.1584 | 0.2222 | 0.1608 |
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- | No log | 10.0 | 60 | 0.1576 | 0.2222 | 0.1601 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
6
+ - 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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  ### 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 | 0.9611 | -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