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arabert_baseline_organization_task3_fold0

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  1. README.md +20 -35
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_organization_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_organization_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: 0.4740
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- - Qwk: 0.5263
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- - Mse: 0.4884
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  ## Model description
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@@ -47,36 +47,21 @@ 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 | 2.7474 | 0.0719 | 2.8478 |
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- | No log | 0.6667 | 4 | 0.9337 | 0.1600 | 0.9879 |
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- | No log | 1.0 | 6 | 0.4534 | 0.0 | 0.4764 |
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- | No log | 1.3333 | 8 | 0.7904 | -0.0408 | 0.7830 |
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- | No log | 1.6667 | 10 | 0.7018 | 0.0769 | 0.6973 |
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- | No log | 2.0 | 12 | 0.5298 | 0.2258 | 0.5356 |
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- | No log | 2.3333 | 14 | 0.4547 | 0.0 | 0.4751 |
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- | No log | 2.6667 | 16 | 0.4579 | 0.0 | 0.4810 |
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- | No log | 3.0 | 18 | 0.4621 | 0.0 | 0.4849 |
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- | No log | 3.3333 | 20 | 0.5042 | 0.1563 | 0.5232 |
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- | No log | 3.6667 | 22 | 0.5058 | 0.1905 | 0.5230 |
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- | No log | 4.0 | 24 | 0.4808 | 0.2623 | 0.4947 |
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- | No log | 4.3333 | 26 | 0.4464 | 0.4828 | 0.4576 |
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- | No log | 4.6667 | 28 | 0.3793 | 0.2258 | 0.3943 |
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- | No log | 5.0 | 30 | 0.3971 | 0.2623 | 0.4100 |
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- | No log | 5.3333 | 32 | 0.5018 | 0.5263 | 0.5120 |
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- | No log | 5.6667 | 34 | 0.5357 | 0.3390 | 0.5481 |
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- | No log | 6.0 | 36 | 0.4854 | 0.3000 | 0.5002 |
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- | No log | 6.3333 | 38 | 0.4022 | 0.2623 | 0.4219 |
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- | No log | 6.6667 | 40 | 0.4018 | 0.2597 | 0.4313 |
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- | No log | 7.0 | 42 | 0.4157 | 0.2597 | 0.4485 |
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- | No log | 7.3333 | 44 | 0.3858 | 0.2895 | 0.4130 |
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- | No log | 7.6667 | 46 | 0.3839 | 0.3200 | 0.4045 |
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- | No log | 8.0 | 48 | 0.4237 | 0.5263 | 0.4396 |
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- | No log | 8.3333 | 50 | 0.4462 | 0.5263 | 0.4608 |
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- | No log | 8.6667 | 52 | 0.4536 | 0.5263 | 0.4681 |
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- | No log | 9.0 | 54 | 0.4620 | 0.5263 | 0.4764 |
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- | No log | 9.3333 | 56 | 0.4700 | 0.5263 | 0.4842 |
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- | No log | 9.6667 | 58 | 0.4698 | 0.5263 | 0.4842 |
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- | No log | 10.0 | 60 | 0.4740 | 0.5263 | 0.4884 |
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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_organization_task3_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_organization_task3_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: 0.9015
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+ - Qwk: -0.0421
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+ - Mse: 0.8705
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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 | 0.6667 | 2 | 4.9483 | -0.0614 | 4.8034 |
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+ | No log | 1.3333 | 4 | 2.2914 | -0.2094 | 2.1960 |
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+ | No log | 2.0 | 6 | 1.8214 | -0.0434 | 1.7728 |
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+ | No log | 2.6667 | 8 | 1.1417 | -0.2754 | 1.1089 |
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+ | No log | 3.3333 | 10 | 1.0866 | -0.1786 | 1.0561 |
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+ | No log | 4.0 | 12 | 0.9760 | 0.0320 | 0.9412 |
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+ | No log | 4.6667 | 14 | 0.9213 | -0.1786 | 0.8945 |
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+ | No log | 5.3333 | 16 | 0.9094 | -0.1579 | 0.8796 |
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+ | No log | 6.0 | 18 | 0.9277 | -0.1048 | 0.8935 |
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+ | No log | 6.6667 | 20 | 0.9357 | -0.1048 | 0.9005 |
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+ | No log | 7.3333 | 22 | 0.9464 | -0.1048 | 0.9094 |
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+ | No log | 8.0 | 24 | 0.9330 | -0.1048 | 0.8977 |
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+ | No log | 8.6667 | 26 | 0.9159 | -0.1048 | 0.8827 |
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+ | No log | 9.3333 | 28 | 0.9041 | -0.0421 | 0.8723 |
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+ | No log | 10.0 | 30 | 0.9015 | -0.0421 | 0.8705 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions