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End of training

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  1. README.md +15 -15
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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_task4_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_task4_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: 1.2734
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- - Qwk: -0.1579
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- - Mse: 1.2734
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  ## Model description
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@@ -47,16 +47,16 @@ 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 | 1.0 | 2 | 3.4925 | 0.0133 | 3.4925 |
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- | No log | 2.0 | 4 | 1.6289 | 0.0280 | 1.6289 |
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- | No log | 3.0 | 6 | 0.8865 | 0.0943 | 0.8865 |
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- | No log | 4.0 | 8 | 0.9705 | 0.2195 | 0.9705 |
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- | No log | 5.0 | 10 | 1.2103 | 0.1351 | 1.2103 |
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- | No log | 6.0 | 12 | 1.3455 | 0.1351 | 1.3455 |
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- | No log | 7.0 | 14 | 1.3806 | 0.1351 | 1.3806 |
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- | No log | 8.0 | 16 | 1.3165 | 0.1351 | 1.3165 |
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- | No log | 9.0 | 18 | 1.2837 | -0.1579 | 1.2837 |
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- | No log | 10.0 | 20 | 1.2734 | -0.1579 | 1.2734 |
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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_task4_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_task4_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: 0.8940
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+ - Qwk: 0.0
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+ - Mse: 0.8940
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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 | 1.0 | 2 | 6.5690 | 0.0 | 6.5690 |
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+ | No log | 2.0 | 4 | 4.8498 | 0.0 | 4.8498 |
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+ | No log | 3.0 | 6 | 3.8531 | -0.0476 | 3.8531 |
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+ | No log | 4.0 | 8 | 3.0568 | 0.0 | 3.0568 |
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+ | No log | 5.0 | 10 | 2.0163 | 0.0 | 2.0163 |
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+ | No log | 6.0 | 12 | 1.4680 | 0.0 | 1.4680 |
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+ | No log | 7.0 | 14 | 1.1864 | 0.12 | 1.1864 |
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+ | No log | 8.0 | 16 | 1.0227 | 0.0 | 1.0227 |
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+ | No log | 9.0 | 18 | 0.9245 | 0.0 | 0.9245 |
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+ | No log | 10.0 | 20 | 0.8940 | 0.0 | 0.8940 |
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  ### Framework versions