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arabert_baseline_style_task3_fold1

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  1. README.md +21 -21
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_style_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_style_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: 0.6911
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  - Qwk: 0.0
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- - Mse: 0.7019
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  ## Model description
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@@ -45,23 +45,23 @@ 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 | 0.6667 | 2 | 3.4019 | -0.0069 | 3.3417 |
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- | No log | 1.3333 | 4 | 1.2359 | -0.1172 | 1.2020 |
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- | No log | 2.0 | 6 | 0.6141 | 0.0 | 0.5883 |
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- | No log | 2.6667 | 8 | 0.6682 | -0.0476 | 0.6667 |
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- | No log | 3.3333 | 10 | 0.4760 | 0.0472 | 0.4717 |
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- | No log | 4.0 | 12 | 0.4843 | -0.0784 | 0.4902 |
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- | No log | 4.6667 | 14 | 0.6953 | -0.0476 | 0.7063 |
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- | No log | 5.3333 | 16 | 0.5093 | -0.0476 | 0.5145 |
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- | No log | 6.0 | 18 | 0.3933 | -0.1379 | 0.3915 |
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- | No log | 6.6667 | 20 | 0.4494 | -0.0476 | 0.4514 |
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- | No log | 7.3333 | 22 | 0.5244 | -0.0476 | 0.5293 |
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- | No log | 8.0 | 24 | 0.6106 | 0.0 | 0.6182 |
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- | No log | 8.6667 | 26 | 0.7248 | 0.0 | 0.7351 |
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- | No log | 9.3333 | 28 | 0.7173 | 0.0 | 0.7282 |
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- | No log | 10.0 | 30 | 0.6911 | 0.0 | 0.7019 |
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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_style_task3_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_style_task3_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: 0.0331
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  - Qwk: 0.0
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+ - Mse: 0.0316
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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 | 0.6667 | 2 | 3.4993 | 0.0 | 3.4859 |
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+ | No log | 1.3333 | 4 | 1.1380 | 0.0 | 1.1373 |
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+ | No log | 2.0 | 6 | 0.1780 | 0.0 | 0.1784 |
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+ | No log | 2.6667 | 8 | 0.0394 | 0.0 | 0.0397 |
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+ | No log | 3.3333 | 10 | 0.0329 | 0.0 | 0.0323 |
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+ | No log | 4.0 | 12 | 0.0230 | 0.0 | 0.0227 |
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+ | No log | 4.6667 | 14 | 0.0116 | 0.0 | 0.0115 |
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+ | No log | 5.3333 | 16 | 0.0132 | 0.0 | 0.0129 |
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+ | No log | 6.0 | 18 | 0.0222 | 0.0 | 0.0217 |
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+ | No log | 6.6667 | 20 | 0.0153 | 0.0 | 0.0148 |
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+ | No log | 7.3333 | 22 | 0.0179 | 0.0 | 0.0172 |
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+ | No log | 8.0 | 24 | 0.0268 | 0.0 | 0.0258 |
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+ | No log | 8.6667 | 26 | 0.0322 | 0.0 | 0.0308 |
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+ | No log | 9.3333 | 28 | 0.0335 | 0.0 | 0.0320 |
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+ | No log | 10.0 | 30 | 0.0331 | 0.0 | 0.0316 |
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  ### Framework versions