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arabert_cross_vocabulary_task2_fold2

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  1. README.md +37 -36
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_cross_vocabulary_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_cross_vocabulary_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: 0.6221
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- - Qwk: 0.0
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- - Mse: 0.6116
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  ## Model description
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@@ -47,37 +47,38 @@ 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 | 0.0317 | 2 | 3.8890 | 0.0036 | 3.9116 |
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- | No log | 0.0635 | 4 | 1.2548 | 0.0450 | 1.2615 |
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- | No log | 0.0952 | 6 | 1.0365 | 0.0179 | 1.0371 |
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- | No log | 0.1270 | 8 | 0.7758 | 0.0128 | 0.7732 |
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- | No log | 0.1587 | 10 | 0.5362 | 0.0522 | 0.5302 |
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- | No log | 0.1905 | 12 | 0.5544 | -0.0096 | 0.5473 |
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- | No log | 0.2222 | 14 | 0.5722 | 0.0351 | 0.5645 |
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- | No log | 0.2540 | 16 | 0.5726 | 0.0 | 0.5645 |
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- | No log | 0.2857 | 18 | 0.5582 | 0.0351 | 0.5504 |
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- | No log | 0.3175 | 20 | 0.5464 | 0.0351 | 0.5390 |
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- | No log | 0.3492 | 22 | 0.5965 | 0.0 | 0.5873 |
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- | No log | 0.3810 | 24 | 0.6243 | 0.0 | 0.6145 |
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- | No log | 0.4127 | 26 | 0.6556 | 0.0 | 0.6452 |
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- | No log | 0.4444 | 28 | 0.6380 | 0.0 | 0.6281 |
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- | No log | 0.4762 | 30 | 0.6416 | 0.0 | 0.6314 |
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- | No log | 0.5079 | 32 | 0.6227 | 0.0 | 0.6126 |
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- | No log | 0.5397 | 34 | 0.6384 | 0.0 | 0.6278 |
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- | No log | 0.5714 | 36 | 0.6024 | 0.0 | 0.5927 |
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- | No log | 0.6032 | 38 | 0.5759 | 0.0351 | 0.5670 |
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- | No log | 0.6349 | 40 | 0.5609 | 0.0351 | 0.5526 |
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- | No log | 0.6667 | 42 | 0.5594 | 0.0351 | 0.5510 |
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- | No log | 0.6984 | 44 | 0.5555 | 0.0351 | 0.5473 |
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- | No log | 0.7302 | 46 | 0.5577 | 0.0351 | 0.5494 |
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- | No log | 0.7619 | 48 | 0.5519 | 0.0351 | 0.5439 |
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- | No log | 0.7937 | 50 | 0.5591 | 0.0351 | 0.5506 |
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- | No log | 0.8254 | 52 | 0.5659 | 0.0351 | 0.5571 |
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- | No log | 0.8571 | 54 | 0.5837 | 0.0 | 0.5744 |
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- | No log | 0.8889 | 56 | 0.5989 | 0.0 | 0.5891 |
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- | No log | 0.9206 | 58 | 0.6091 | 0.0 | 0.5991 |
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- | No log | 0.9524 | 60 | 0.6152 | 0.0 | 0.6050 |
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- | No log | 0.9841 | 62 | 0.6221 | 0.0 | 0.6116 |
 
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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_cross_vocabulary_task2_fold2
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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_cross_vocabulary_task2_fold2
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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: 0.7896
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+ - Qwk: -0.0578
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+ - Mse: 0.7896
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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 | 0.0308 | 2 | 8.5786 | 0.0 | 8.5786 |
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+ | No log | 0.0615 | 4 | 4.7361 | 0.0027 | 4.7361 |
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+ | No log | 0.0923 | 6 | 2.4849 | -0.0164 | 2.4849 |
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+ | No log | 0.1231 | 8 | 1.0682 | 0.0 | 1.0682 |
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+ | No log | 0.1538 | 10 | 1.0484 | -0.2071 | 1.0484 |
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+ | No log | 0.1846 | 12 | 1.1580 | -0.1541 | 1.1580 |
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+ | No log | 0.2154 | 14 | 0.7197 | 0.0071 | 0.7197 |
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+ | No log | 0.2462 | 16 | 0.7275 | 0.1341 | 0.7275 |
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+ | No log | 0.2769 | 18 | 0.8223 | 0.0676 | 0.8223 |
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+ | No log | 0.3077 | 20 | 0.8068 | 0.0447 | 0.8068 |
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+ | No log | 0.3385 | 22 | 0.7532 | -0.0157 | 0.7532 |
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+ | No log | 0.3692 | 24 | 0.7525 | -0.0155 | 0.7525 |
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+ | No log | 0.4 | 26 | 0.7808 | -0.0217 | 0.7808 |
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+ | No log | 0.4308 | 28 | 0.7874 | -0.0658 | 0.7874 |
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+ | No log | 0.4615 | 30 | 0.7780 | 0.0 | 0.7780 |
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+ | No log | 0.4923 | 32 | 0.8462 | 0.0 | 0.8462 |
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+ | No log | 0.5231 | 34 | 0.9212 | 0.0 | 0.9212 |
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+ | No log | 0.5538 | 36 | 0.9624 | 0.0 | 0.9624 |
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+ | No log | 0.5846 | 38 | 0.9977 | 0.0 | 0.9977 |
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+ | No log | 0.6154 | 40 | 0.9965 | 0.0 | 0.9965 |
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+ | No log | 0.6462 | 42 | 0.9605 | 0.0 | 0.9605 |
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+ | No log | 0.6769 | 44 | 0.8767 | 0.0 | 0.8767 |
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+ | No log | 0.7077 | 46 | 0.8153 | 0.0 | 0.8153 |
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+ | No log | 0.7385 | 48 | 0.7919 | 0.0 | 0.7919 |
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+ | No log | 0.7692 | 50 | 0.7850 | -0.0371 | 0.7850 |
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+ | No log | 0.8 | 52 | 0.7871 | -0.0777 | 0.7871 |
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+ | No log | 0.8308 | 54 | 0.7856 | -0.0777 | 0.7856 |
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+ | No log | 0.8615 | 56 | 0.7873 | -0.0777 | 0.7873 |
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+ | No log | 0.8923 | 58 | 0.7877 | -0.0578 | 0.7877 |
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+ | No log | 0.9231 | 60 | 0.7921 | -0.0777 | 0.7921 |
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+ | No log | 0.9538 | 62 | 0.7919 | -0.0777 | 0.7919 |
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+ | No log | 0.9846 | 64 | 0.7896 | -0.0578 | 0.7896 |
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  ### Framework versions