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arabert_baseline_grammar_task7_fold1

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  1. README.md +35 -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_grammar_task7_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_grammar_task7_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: 0.5572
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- - Qwk: 0.5704
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- - Mse: 0.5572
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  ## Model description
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@@ -47,36 +47,36 @@ 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 | 1.4661 | 0.0977 | 1.4661 |
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- | No log | 0.6667 | 4 | 0.7644 | 0.4444 | 0.7644 |
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- | No log | 1.0 | 6 | 0.8832 | 0.4242 | 0.8832 |
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- | No log | 1.3333 | 8 | 1.3294 | 0.4231 | 1.3294 |
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- | No log | 1.6667 | 10 | 0.7718 | 0.4272 | 0.7718 |
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- | No log | 2.0 | 12 | 0.4503 | 0.5679 | 0.4503 |
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- | No log | 2.3333 | 14 | 0.5309 | 0.5417 | 0.5309 |
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- | No log | 2.6667 | 16 | 0.5822 | 0.5149 | 0.5822 |
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- | No log | 3.0 | 18 | 0.9504 | 0.4242 | 0.9504 |
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- | No log | 3.3333 | 20 | 1.2071 | 0.4068 | 1.2071 |
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- | No log | 3.6667 | 22 | 0.8892 | 0.4242 | 0.8892 |
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- | No log | 4.0 | 24 | 0.5812 | 0.5149 | 0.5812 |
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- | No log | 4.3333 | 26 | 0.5065 | 0.5149 | 0.5065 |
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- | No log | 4.6667 | 28 | 0.5216 | 0.5149 | 0.5216 |
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- | No log | 5.0 | 30 | 0.5606 | 0.5091 | 0.5606 |
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- | No log | 5.3333 | 32 | 0.6888 | 0.4257 | 0.6888 |
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- | No log | 5.6667 | 34 | 0.6926 | 0.4257 | 0.6926 |
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- | No log | 6.0 | 36 | 0.5721 | 0.5139 | 0.5721 |
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- | No log | 6.3333 | 38 | 0.4835 | 0.6127 | 0.4835 |
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- | No log | 6.6667 | 40 | 0.4666 | 0.6127 | 0.4666 |
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- | No log | 7.0 | 42 | 0.4944 | 0.6127 | 0.4944 |
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- | No log | 7.3333 | 44 | 0.5939 | 0.5704 | 0.5939 |
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- | No log | 7.6667 | 46 | 0.7085 | 0.4828 | 0.7085 |
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- | No log | 8.0 | 48 | 0.7680 | 0.4620 | 0.7680 |
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- | No log | 8.3333 | 50 | 0.7277 | 0.4828 | 0.7277 |
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- | No log | 8.6667 | 52 | 0.6480 | 0.4828 | 0.6480 |
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- | No log | 9.0 | 54 | 0.6116 | 0.5085 | 0.6116 |
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- | No log | 9.3333 | 56 | 0.5764 | 0.5704 | 0.5764 |
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- | No log | 9.6667 | 58 | 0.5647 | 0.5704 | 0.5647 |
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- | No log | 10.0 | 60 | 0.5572 | 0.5704 | 0.5572 |
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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_grammar_task7_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_grammar_task7_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: 0.5050
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+ - Qwk: 0.6844
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+ - Mse: 0.4943
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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 | 0.3333 | 2 | 1.0262 | 0.2825 | 1.0304 |
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+ | No log | 0.6667 | 4 | 0.6994 | 0.6208 | 0.7254 |
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+ | No log | 1.0 | 6 | 0.8144 | 0.4225 | 0.8374 |
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+ | No log | 1.3333 | 8 | 0.6492 | 0.5810 | 0.6643 |
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+ | No log | 1.6667 | 10 | 0.6577 | 0.4 | 0.6679 |
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+ | No log | 2.0 | 12 | 0.5578 | 0.5957 | 0.5665 |
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+ | No log | 2.3333 | 14 | 0.5481 | 0.6030 | 0.5532 |
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+ | No log | 2.6667 | 16 | 0.4901 | 0.6290 | 0.4927 |
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+ | No log | 3.0 | 18 | 0.4569 | 0.6780 | 0.4570 |
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+ | No log | 3.3333 | 20 | 0.4974 | 0.6780 | 0.4927 |
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+ | No log | 3.6667 | 22 | 0.5556 | 0.5326 | 0.5459 |
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+ | No log | 4.0 | 24 | 0.5207 | 0.6370 | 0.5092 |
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+ | No log | 4.3333 | 26 | 0.5155 | 0.6370 | 0.5024 |
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+ | No log | 4.6667 | 28 | 0.5426 | 0.6370 | 0.5277 |
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+ | No log | 5.0 | 30 | 0.5586 | 0.6416 | 0.5432 |
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+ | No log | 5.3333 | 32 | 0.5285 | 0.6844 | 0.5150 |
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+ | No log | 5.6667 | 34 | 0.4857 | 0.6844 | 0.4750 |
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+ | No log | 6.0 | 36 | 0.4315 | 0.6780 | 0.4244 |
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+ | No log | 6.3333 | 38 | 0.4483 | 0.6780 | 0.4406 |
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+ | No log | 6.6667 | 40 | 0.5122 | 0.6844 | 0.5019 |
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+ | No log | 7.0 | 42 | 0.5586 | 0.6283 | 0.5467 |
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+ | No log | 7.3333 | 44 | 0.5142 | 0.6844 | 0.5032 |
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+ | No log | 7.6667 | 46 | 0.4644 | 0.6844 | 0.4552 |
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+ | No log | 8.0 | 48 | 0.4307 | 0.6780 | 0.4234 |
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+ | No log | 8.3333 | 50 | 0.4377 | 0.6780 | 0.4300 |
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+ | No log | 8.6667 | 52 | 0.4662 | 0.6780 | 0.4571 |
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+ | No log | 9.0 | 54 | 0.4977 | 0.6844 | 0.4873 |
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+ | No log | 9.3333 | 56 | 0.5069 | 0.6844 | 0.4961 |
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+ | No log | 9.6667 | 58 | 0.5095 | 0.6844 | 0.4985 |
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+ | No log | 10.0 | 60 | 0.5050 | 0.6844 | 0.4943 |
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  ### Framework versions