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arabert_baseline_development_task3_fold1

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  1. README.md +20 -20
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_development_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_development_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: 0.8217
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- - Qwk: -0.0645
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- - Mse: 0.7668
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  ## Model description
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@@ -47,21 +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 | 0.6667 | 2 | 3.8893 | -0.0248 | 3.7493 |
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- | No log | 1.3333 | 4 | 1.6163 | -0.1603 | 1.5205 |
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- | No log | 2.0 | 6 | 1.3910 | -0.0522 | 1.3168 |
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- | No log | 2.6667 | 8 | 0.9920 | -0.1846 | 0.9528 |
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- | No log | 3.3333 | 10 | 0.9604 | -0.5098 | 0.9287 |
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- | No log | 4.0 | 12 | 0.7779 | -0.1308 | 0.7306 |
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- | No log | 4.6667 | 14 | 0.7914 | 0.0 | 0.7387 |
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- | No log | 5.3333 | 16 | 0.8497 | 0.0 | 0.7909 |
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- | No log | 6.0 | 18 | 0.8019 | 0.0351 | 0.7466 |
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- | No log | 6.6667 | 20 | 0.7900 | 0.0748 | 0.7369 |
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- | No log | 7.3333 | 22 | 0.7934 | -0.0645 | 0.7422 |
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- | No log | 8.0 | 24 | 0.8050 | -0.0645 | 0.7531 |
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- | No log | 8.6667 | 26 | 0.8063 | -0.0645 | 0.7543 |
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- | No log | 9.3333 | 28 | 0.8142 | -0.0645 | 0.7607 |
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- | No log | 10.0 | 30 | 0.8217 | -0.0645 | 0.7668 |
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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_development_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_development_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: 0.2282
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+ - Qwk: 0.0
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+ - Mse: 0.2300
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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 | 2.8377 | 0.0075 | 2.8075 |
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+ | No log | 1.3333 | 4 | 0.7850 | -0.0722 | 0.7741 |
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+ | No log | 2.0 | 6 | 0.2436 | 0.0 | 0.2359 |
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+ | No log | 2.6667 | 8 | 0.2726 | -0.3562 | 0.2744 |
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+ | No log | 3.3333 | 10 | 0.2421 | 0.0 | 0.2449 |
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+ | No log | 4.0 | 12 | 0.2542 | 0.0 | 0.2555 |
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+ | No log | 4.6667 | 14 | 0.2669 | 0.0 | 0.2677 |
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+ | No log | 5.3333 | 16 | 0.2579 | 0.0 | 0.2592 |
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+ | No log | 6.0 | 18 | 0.2389 | 0.0 | 0.2407 |
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+ | No log | 6.6667 | 20 | 0.2143 | 0.0 | 0.2176 |
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+ | No log | 7.3333 | 22 | 0.2121 | 0.0 | 0.2162 |
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+ | No log | 8.0 | 24 | 0.2173 | 0.0 | 0.2199 |
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+ | No log | 8.6667 | 26 | 0.2240 | 0.0 | 0.2258 |
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+ | No log | 9.3333 | 28 | 0.2288 | 0.0 | 0.2304 |
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+ | No log | 10.0 | 30 | 0.2282 | 0.0 | 0.2300 |
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  ### Framework versions