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End of training

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  1. README.md +27 -27
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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_organization_task8_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_task8_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: 0.4941
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- - Qwk: 0.6010
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- - Mse: 0.4941
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  ## Model description
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@@ -45,28 +45,28 @@ 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 | 0.5 | 2 | 1.4026 | 0.0558 | 1.4026 |
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- | No log | 1.0 | 4 | 1.1702 | 0.0 | 1.1702 |
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- | No log | 1.5 | 6 | 1.0793 | -0.0294 | 1.0793 |
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- | No log | 2.0 | 8 | 1.0475 | 0.4031 | 1.0475 |
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- | No log | 2.5 | 10 | 0.9473 | 0.5191 | 0.9473 |
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- | No log | 3.0 | 12 | 0.8743 | 0.3158 | 0.8743 |
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- | No log | 3.5 | 14 | 0.7934 | 0.3158 | 0.7934 |
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- | No log | 4.0 | 16 | 0.6914 | 0.4324 | 0.6914 |
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- | No log | 4.5 | 18 | 0.6177 | 0.4940 | 0.6177 |
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- | No log | 5.0 | 20 | 0.5611 | 0.4940 | 0.5611 |
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- | No log | 5.5 | 22 | 0.5294 | 0.5714 | 0.5294 |
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- | No log | 6.0 | 24 | 0.5033 | 0.5670 | 0.5033 |
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- | No log | 6.5 | 26 | 0.4918 | 0.6010 | 0.4918 |
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- | No log | 7.0 | 28 | 0.4919 | 0.6010 | 0.4919 |
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- | No log | 7.5 | 30 | 0.4963 | 0.6010 | 0.4963 |
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- | No log | 8.0 | 32 | 0.4997 | 0.6010 | 0.4997 |
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- | No log | 8.5 | 34 | 0.4990 | 0.6010 | 0.4990 |
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- | No log | 9.0 | 36 | 0.4963 | 0.6010 | 0.4963 |
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- | No log | 9.5 | 38 | 0.4948 | 0.6010 | 0.4948 |
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- | No log | 10.0 | 40 | 0.4941 | 0.6010 | 0.4941 |
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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_task8_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_task8_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: 0.3060
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+ - Qwk: 0.7308
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+ - Mse: 0.3060
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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 | 0.5 | 2 | 1.3363 | 0.1206 | 1.3363 |
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+ | No log | 1.0 | 4 | 1.0314 | 0.4940 | 1.0314 |
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+ | No log | 1.5 | 6 | 0.6916 | 0.5444 | 0.6916 |
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+ | No log | 2.0 | 8 | 0.6153 | 0.4510 | 0.6153 |
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+ | No log | 2.5 | 10 | 0.6686 | 0.5062 | 0.6686 |
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+ | No log | 3.0 | 12 | 0.4719 | 0.6147 | 0.4719 |
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+ | No log | 3.5 | 14 | 0.3635 | 0.7172 | 0.3635 |
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+ | No log | 4.0 | 16 | 0.3213 | 0.7070 | 0.3213 |
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+ | No log | 4.5 | 18 | 0.2998 | 0.6908 | 0.2998 |
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+ | No log | 5.0 | 20 | 0.4019 | 0.6111 | 0.4019 |
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+ | No log | 5.5 | 22 | 0.6037 | 0.5368 | 0.6037 |
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+ | No log | 6.0 | 24 | 0.5509 | 0.5368 | 0.5509 |
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+ | No log | 6.5 | 26 | 0.4100 | 0.6908 | 0.4100 |
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+ | No log | 7.0 | 28 | 0.3021 | 0.7308 | 0.3021 |
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+ | No log | 7.5 | 30 | 0.2592 | 0.8192 | 0.2592 |
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+ | No log | 8.0 | 32 | 0.2596 | 0.8346 | 0.2596 |
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+ | No log | 8.5 | 34 | 0.2632 | 0.8346 | 0.2632 |
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+ | No log | 9.0 | 36 | 0.2747 | 0.8192 | 0.2747 |
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+ | No log | 9.5 | 38 | 0.2933 | 0.7308 | 0.2933 |
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+ | No log | 10.0 | 40 | 0.3060 | 0.7308 | 0.3060 |
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  ### Framework versions