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arabert_baseline_relevance_task5_fold1

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@@ -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_task5_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_task5_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: 0.3678
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- - Qwk: 0.2949
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- - Mse: 0.3678
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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 | 0.4684 | 0.1304 | 0.4684 |
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- | No log | 0.6667 | 4 | 0.4252 | 0.0 | 0.4252 |
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- | No log | 1.0 | 6 | 0.4179 | 0.0 | 0.4179 |
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- | No log | 1.3333 | 8 | 0.4231 | 0.0 | 0.4231 |
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- | No log | 1.6667 | 10 | 0.4130 | 0.0 | 0.4130 |
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- | No log | 2.0 | 12 | 0.4098 | 0.0 | 0.4098 |
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- | No log | 2.3333 | 14 | 0.4153 | 0.0551 | 0.4153 |
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- | No log | 2.6667 | 16 | 0.4026 | 0.0551 | 0.4026 |
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- | No log | 3.0 | 18 | 0.3622 | 0.1837 | 0.3622 |
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- | No log | 3.3333 | 20 | 0.3561 | 0.1837 | 0.3561 |
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- | No log | 3.6667 | 22 | 0.3628 | 0.1837 | 0.3628 |
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- | No log | 4.0 | 24 | 0.3773 | 0.1837 | 0.3773 |
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- | No log | 4.3333 | 26 | 0.3744 | 0.1837 | 0.3744 |
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- | No log | 4.6667 | 28 | 0.3673 | 0.1837 | 0.3673 |
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- | No log | 5.0 | 30 | 0.3744 | 0.1837 | 0.3744 |
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- | No log | 5.3333 | 32 | 0.3730 | 0.1837 | 0.3730 |
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- | No log | 5.6667 | 34 | 0.3589 | 0.1333 | 0.3589 |
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- | No log | 6.0 | 36 | 0.3503 | 0.3464 | 0.3503 |
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- | No log | 6.3333 | 38 | 0.3556 | 0.2949 | 0.3556 |
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- | No log | 6.6667 | 40 | 0.3713 | 0.2949 | 0.3713 |
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- | No log | 7.0 | 42 | 0.3743 | 0.2949 | 0.3743 |
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- | No log | 7.3333 | 44 | 0.3742 | 0.2949 | 0.3742 |
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- | No log | 7.6667 | 46 | 0.3719 | 0.2949 | 0.3719 |
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- | No log | 8.0 | 48 | 0.3699 | 0.2949 | 0.3699 |
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- | No log | 8.3333 | 50 | 0.3712 | 0.2949 | 0.3712 |
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- | No log | 8.6667 | 52 | 0.3661 | 0.2949 | 0.3661 |
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- | No log | 9.0 | 54 | 0.3649 | 0.2157 | 0.3649 |
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- | No log | 9.3333 | 56 | 0.3664 | 0.1333 | 0.3664 |
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- | No log | 9.6667 | 58 | 0.3674 | 0.2157 | 0.3674 |
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- | No log | 10.0 | 60 | 0.3678 | 0.2949 | 0.3678 |
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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_task5_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_task5_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: 0.1845
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+ - Qwk: 0.3789
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+ - Mse: 0.1845
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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 | 0.7186 | -0.0682 | 0.7186 |
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+ | No log | 0.6667 | 4 | 0.2563 | 0.0 | 0.2563 |
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+ | No log | 1.0 | 6 | 0.1977 | 0.0551 | 0.1977 |
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+ | No log | 1.3333 | 8 | 0.1845 | 0.2373 | 0.1845 |
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+ | No log | 1.6667 | 10 | 0.1961 | 0.2361 | 0.1961 |
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+ | No log | 2.0 | 12 | 0.2108 | 0.1960 | 0.2108 |
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+ | No log | 2.3333 | 14 | 0.2096 | 0.2347 | 0.2096 |
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+ | No log | 2.6667 | 16 | 0.2117 | 0.2814 | 0.2117 |
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+ | No log | 3.0 | 18 | 0.2125 | 0.2814 | 0.2125 |
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+ | No log | 3.3333 | 20 | 0.2086 | 0.3789 | 0.2086 |
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+ | No log | 3.6667 | 22 | 0.2136 | 0.2547 | 0.2136 |
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+ | No log | 4.0 | 24 | 0.2106 | 0.3293 | 0.2106 |
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+ | No log | 4.3333 | 26 | 0.1994 | 0.3293 | 0.1994 |
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+ | No log | 4.6667 | 28 | 0.1978 | 0.1477 | 0.1978 |
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+ | No log | 5.0 | 30 | 0.2011 | 0.2353 | 0.2011 |
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+ | No log | 5.3333 | 32 | 0.2091 | 0.2258 | 0.2091 |
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+ | No log | 5.6667 | 34 | 0.2215 | 0.2763 | 0.2215 |
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+ | No log | 6.0 | 36 | 0.2177 | 0.2763 | 0.2177 |
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+ | No log | 6.3333 | 38 | 0.2103 | 0.2763 | 0.2103 |
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+ | No log | 6.6667 | 40 | 0.1968 | 0.4304 | 0.1968 |
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+ | No log | 7.0 | 42 | 0.1868 | 0.3789 | 0.1868 |
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+ | No log | 7.3333 | 44 | 0.1820 | 0.3789 | 0.1820 |
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+ | No log | 7.6667 | 46 | 0.1813 | 0.3789 | 0.1813 |
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+ | No log | 8.0 | 48 | 0.1828 | 0.3789 | 0.1828 |
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+ | No log | 8.3333 | 50 | 0.1865 | 0.3789 | 0.1865 |
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+ | No log | 8.6667 | 52 | 0.1900 | 0.4304 | 0.1900 |
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+ | No log | 9.0 | 54 | 0.1886 | 0.4304 | 0.1886 |
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+ | No log | 9.3333 | 56 | 0.1873 | 0.3789 | 0.1873 |
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+ | No log | 9.6667 | 58 | 0.1853 | 0.3789 | 0.1853 |
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+ | No log | 10.0 | 60 | 0.1845 | 0.3789 | 0.1845 |
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  ### Framework versions