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arabert_baseline_mechanics_task2_fold1

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  1. README.md +35 -35
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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_mechanics_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_mechanics_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: 0.9842
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- - Qwk: 0.1750
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- - Mse: 0.9841
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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 | 4.1574 | 0.0205 | 4.1715 |
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- | No log | 0.6667 | 4 | 2.0929 | 0.0123 | 2.1054 |
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- | No log | 1.0 | 6 | 1.3194 | -0.1337 | 1.3202 |
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- | No log | 1.3333 | 8 | 0.9360 | 0.2588 | 0.9322 |
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- | No log | 1.6667 | 10 | 0.9386 | 0.0907 | 0.9344 |
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- | No log | 2.0 | 12 | 1.1338 | -0.0221 | 1.1277 |
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- | No log | 2.3333 | 14 | 1.0683 | 0.0907 | 1.0627 |
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- | No log | 2.6667 | 16 | 0.8193 | 0.2808 | 0.8154 |
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- | No log | 3.0 | 18 | 0.7951 | 0.2441 | 0.7912 |
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- | No log | 3.3333 | 20 | 0.8524 | 0.2853 | 0.8486 |
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- | No log | 3.6667 | 22 | 1.0382 | -0.1210 | 1.0361 |
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- | No log | 4.0 | 24 | 1.2097 | -0.1351 | 1.2090 |
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- | No log | 4.3333 | 26 | 1.3025 | -0.0355 | 1.3038 |
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- | No log | 4.6667 | 28 | 1.1375 | 0.2732 | 1.1373 |
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- | No log | 5.0 | 30 | 0.8628 | 0.2455 | 0.8539 |
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- | No log | 5.3333 | 32 | 0.8145 | 0.1649 | 0.8046 |
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- | No log | 5.6667 | 34 | 0.8765 | 0.2222 | 0.8718 |
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- | No log | 6.0 | 36 | 0.9949 | 0.1892 | 0.9951 |
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- | No log | 6.3333 | 38 | 1.0164 | 0.1892 | 1.0171 |
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- | No log | 6.6667 | 40 | 0.9913 | 0.1892 | 0.9919 |
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- | No log | 7.0 | 42 | 0.9485 | 0.1892 | 0.9484 |
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- | No log | 7.3333 | 44 | 0.9129 | 0.0667 | 0.9120 |
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- | No log | 7.6667 | 46 | 0.8943 | 0.0667 | 0.8925 |
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- | No log | 8.0 | 48 | 0.9394 | 0.0667 | 0.9387 |
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- | No log | 8.3333 | 50 | 0.9883 | 0.1892 | 0.9886 |
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- | No log | 8.6667 | 52 | 0.9904 | 0.1892 | 0.9907 |
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- | No log | 9.0 | 54 | 0.9905 | 0.1892 | 0.9908 |
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- | No log | 9.3333 | 56 | 0.9842 | 0.1892 | 0.9843 |
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- | No log | 9.6667 | 58 | 0.9876 | 0.1664 | 0.9876 |
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- | No log | 10.0 | 60 | 0.9842 | 0.1750 | 0.9841 |
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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_mechanics_task2_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_task2_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: 0.8879
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+ - Qwk: 0.5758
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+ - Mse: 0.8784
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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 | 3.5975 | -0.0382 | 3.6807 |
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+ | No log | 0.6667 | 4 | 1.4679 | 0.1796 | 1.5092 |
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+ | No log | 1.0 | 6 | 1.0780 | 0.0 | 1.0882 |
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+ | No log | 1.3333 | 8 | 1.2308 | 0.1695 | 1.2193 |
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+ | No log | 1.6667 | 10 | 1.2253 | 0.1695 | 1.2102 |
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+ | No log | 2.0 | 12 | 0.8911 | 0.2451 | 0.8886 |
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+ | No log | 2.3333 | 14 | 0.8137 | 0.3099 | 0.8139 |
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+ | No log | 2.6667 | 16 | 0.8083 | 0.3099 | 0.8044 |
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+ | No log | 3.0 | 18 | 0.9159 | 0.5185 | 0.9080 |
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+ | No log | 3.3333 | 20 | 1.0465 | 0.4556 | 1.0353 |
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+ | No log | 3.6667 | 22 | 0.9742 | 0.4731 | 0.9635 |
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+ | No log | 4.0 | 24 | 0.7724 | 0.3897 | 0.7631 |
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+ | No log | 4.3333 | 26 | 0.7534 | 0.3636 | 0.7425 |
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+ | No log | 4.6667 | 28 | 0.7201 | 0.3636 | 0.7079 |
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+ | No log | 5.0 | 30 | 0.8574 | 0.5586 | 0.8468 |
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+ | No log | 5.3333 | 32 | 0.9644 | 0.5130 | 0.9546 |
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+ | No log | 5.6667 | 34 | 0.8585 | 0.608 | 0.8487 |
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+ | No log | 6.0 | 36 | 0.7248 | 0.5405 | 0.7112 |
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+ | No log | 6.3333 | 38 | 0.7385 | 0.5405 | 0.7257 |
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+ | No log | 6.6667 | 40 | 0.8072 | 0.5758 | 0.7967 |
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+ | No log | 7.0 | 42 | 0.9702 | 0.6513 | 0.9631 |
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+ | No log | 7.3333 | 44 | 0.9882 | 0.6513 | 0.9815 |
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+ | No log | 7.6667 | 46 | 0.9719 | 0.6513 | 0.9651 |
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+ | No log | 8.0 | 48 | 0.9498 | 0.6513 | 0.9425 |
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+ | No log | 8.3333 | 50 | 0.9073 | 0.6513 | 0.8988 |
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+ | No log | 8.6667 | 52 | 0.8907 | 0.5758 | 0.8816 |
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+ | No log | 9.0 | 54 | 0.8763 | 0.5758 | 0.8665 |
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+ | No log | 9.3333 | 56 | 0.8701 | 0.5758 | 0.8602 |
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+ | No log | 9.6667 | 58 | 0.8850 | 0.5758 | 0.8754 |
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+ | No log | 10.0 | 60 | 0.8879 | 0.5758 | 0.8784 |
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  ### Framework versions