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arabert_cross_relevance_task1_fold1

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  1. README.md +36 -33
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_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_cross_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: 0.1907
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- - Qwk: 0.0246
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- - Mse: 0.1907
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  ## Model description
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@@ -47,34 +47,37 @@ 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 | 0.0351 | 2 | 1.1829 | -0.0050 | 1.1829 |
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- | No log | 0.0702 | 4 | 0.2409 | 0.0099 | 0.2409 |
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- | No log | 0.1053 | 6 | 0.1676 | -0.0484 | 0.1676 |
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- | No log | 0.1404 | 8 | 0.1570 | 0.0130 | 0.1570 |
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- | No log | 0.1754 | 10 | 0.3161 | 0.0173 | 0.3161 |
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- | No log | 0.2105 | 12 | 0.6111 | 0.0144 | 0.6111 |
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- | No log | 0.2456 | 14 | 0.4643 | 0.0505 | 0.4643 |
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- | No log | 0.2807 | 16 | 0.3698 | 0.0345 | 0.3698 |
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- | No log | 0.3158 | 18 | 0.2920 | 0.0181 | 0.2920 |
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- | No log | 0.3509 | 20 | 0.2091 | 0.0235 | 0.2091 |
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- | No log | 0.3860 | 22 | 0.1792 | 0.0092 | 0.1792 |
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- | No log | 0.4211 | 24 | 0.1670 | 0.0386 | 0.1670 |
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- | No log | 0.4561 | 26 | 0.1654 | 0.0258 | 0.1654 |
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- | No log | 0.4912 | 28 | 0.1730 | 0.0081 | 0.1730 |
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- | No log | 0.5263 | 30 | 0.1851 | 0.0141 | 0.1851 |
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- | No log | 0.5614 | 32 | 0.2064 | 0.0092 | 0.2064 |
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- | No log | 0.5965 | 34 | 0.2253 | 0.0270 | 0.2253 |
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- | No log | 0.6316 | 36 | 0.2300 | 0.0355 | 0.2300 |
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- | No log | 0.6667 | 38 | 0.2391 | 0.0339 | 0.2391 |
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- | No log | 0.7018 | 40 | 0.2358 | 0.0339 | 0.2358 |
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- | No log | 0.7368 | 42 | 0.2370 | 0.0300 | 0.2370 |
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- | No log | 0.7719 | 44 | 0.2370 | 0.0361 | 0.2370 |
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- | No log | 0.8070 | 46 | 0.2312 | 0.0323 | 0.2312 |
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- | No log | 0.8421 | 48 | 0.2215 | 0.0323 | 0.2215 |
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- | No log | 0.8772 | 50 | 0.2101 | 0.0358 | 0.2101 |
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- | No log | 0.9123 | 52 | 0.2006 | 0.0212 | 0.2006 |
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- | No log | 0.9474 | 54 | 0.1943 | 0.0246 | 0.1943 |
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- | No log | 0.9825 | 56 | 0.1907 | 0.0246 | 0.1907 |
 
 
 
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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_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_cross_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: 0.3646
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+ - Qwk: 0.0454
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+ - Mse: 0.3647
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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 | 0.0323 | 2 | 0.3884 | -0.0193 | 0.3901 |
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+ | No log | 0.0645 | 4 | 0.5676 | 0.0570 | 0.5677 |
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+ | No log | 0.0968 | 6 | 0.6160 | 0.1181 | 0.6161 |
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+ | No log | 0.1290 | 8 | 0.3914 | 0.0326 | 0.3913 |
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+ | No log | 0.1613 | 10 | 0.2970 | 0.0245 | 0.2972 |
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+ | No log | 0.1935 | 12 | 0.3016 | 0.0122 | 0.3018 |
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+ | No log | 0.2258 | 14 | 0.2905 | 0.0122 | 0.2908 |
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+ | No log | 0.2581 | 16 | 0.3013 | 0.0491 | 0.3016 |
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+ | No log | 0.2903 | 18 | 0.3427 | 0.0284 | 0.3429 |
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+ | No log | 0.3226 | 20 | 0.4170 | 0.0059 | 0.4170 |
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+ | No log | 0.3548 | 22 | 0.4971 | 0.0518 | 0.4971 |
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+ | No log | 0.3871 | 24 | 0.4934 | 0.0958 | 0.4933 |
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+ | No log | 0.4194 | 26 | 0.4203 | -0.0430 | 0.4203 |
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+ | No log | 0.4516 | 28 | 0.3668 | -0.0521 | 0.3669 |
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+ | No log | 0.4839 | 30 | 0.3462 | -0.0092 | 0.3463 |
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+ | No log | 0.5161 | 32 | 0.3500 | -0.0092 | 0.3500 |
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+ | No log | 0.5484 | 34 | 0.3623 | -0.0010 | 0.3623 |
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+ | No log | 0.5806 | 36 | 0.3911 | -0.0188 | 0.3911 |
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+ | No log | 0.6129 | 38 | 0.3635 | -0.0135 | 0.3634 |
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+ | No log | 0.6452 | 40 | 0.3500 | -0.0092 | 0.3500 |
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+ | No log | 0.6774 | 42 | 0.3369 | -0.0048 | 0.3369 |
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+ | No log | 0.7097 | 44 | 0.3357 | -0.0048 | 0.3358 |
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+ | No log | 0.7419 | 46 | 0.3574 | 0.0537 | 0.3574 |
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+ | No log | 0.7742 | 48 | 0.3901 | 0.0370 | 0.3901 |
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+ | No log | 0.8065 | 50 | 0.3986 | 0.0723 | 0.3985 |
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+ | No log | 0.8387 | 52 | 0.3875 | 0.0544 | 0.3875 |
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+ | No log | 0.8710 | 54 | 0.3792 | 0.0586 | 0.3792 |
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+ | No log | 0.9032 | 56 | 0.3727 | 0.0412 | 0.3727 |
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+ | No log | 0.9355 | 58 | 0.3667 | 0.0454 | 0.3667 |
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+ | No log | 0.9677 | 60 | 0.3648 | 0.0454 | 0.3648 |
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+ | No log | 1.0 | 62 | 0.3646 | 0.0454 | 0.3647 |
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  ### Framework versions