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arabert_baseline_development_task1_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_development_task1_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_task1_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: 0.5902
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- - Qwk: 0.5813
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- - Mse: 0.5907
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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 | 4.3908 | -0.0120 | 4.3758 |
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- | No log | 0.6667 | 4 | 1.6600 | 0.1250 | 1.6454 |
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- | No log | 1.0 | 6 | 0.7866 | 0.1857 | 0.7857 |
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- | No log | 1.3333 | 8 | 0.8027 | 0.3213 | 0.8042 |
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- | No log | 1.6667 | 10 | 0.7663 | 0.4436 | 0.7681 |
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- | No log | 2.0 | 12 | 0.6285 | 0.5382 | 0.6319 |
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- | No log | 2.3333 | 14 | 0.5709 | 0.5522 | 0.5784 |
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- | No log | 2.6667 | 16 | 0.6087 | 0.5551 | 0.6118 |
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- | No log | 3.0 | 18 | 0.6828 | 0.5551 | 0.6824 |
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- | No log | 3.3333 | 20 | 0.7735 | 0.5415 | 0.7740 |
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- | No log | 3.6667 | 22 | 0.6982 | 0.5682 | 0.6989 |
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- | No log | 4.0 | 24 | 0.7101 | 0.5682 | 0.7116 |
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- | No log | 4.3333 | 26 | 0.6932 | 0.5682 | 0.6950 |
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- | No log | 4.6667 | 28 | 0.6914 | 0.5682 | 0.6938 |
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- | No log | 5.0 | 30 | 0.6162 | 0.5477 | 0.6186 |
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- | No log | 5.3333 | 32 | 0.5655 | 0.5477 | 0.5678 |
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- | No log | 5.6667 | 34 | 0.5450 | 0.5445 | 0.5471 |
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- | No log | 6.0 | 36 | 0.5674 | 0.5477 | 0.5701 |
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- | No log | 6.3333 | 38 | 0.6194 | 0.5314 | 0.6234 |
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- | No log | 6.6667 | 40 | 0.5904 | 0.5477 | 0.5926 |
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- | No log | 7.0 | 42 | 0.5761 | 0.5445 | 0.5768 |
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- | No log | 7.3333 | 44 | 0.5947 | 0.5813 | 0.5951 |
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- | No log | 7.6667 | 46 | 0.6094 | 0.5825 | 0.6096 |
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- | No log | 8.0 | 48 | 0.6288 | 0.5995 | 0.6294 |
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- | No log | 8.3333 | 50 | 0.6317 | 0.5269 | 0.6325 |
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- | No log | 8.6667 | 52 | 0.6245 | 0.5995 | 0.6251 |
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- | No log | 9.0 | 54 | 0.6067 | 0.5825 | 0.6071 |
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- | No log | 9.3333 | 56 | 0.5975 | 0.5813 | 0.5979 |
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- | No log | 9.6667 | 58 | 0.5916 | 0.5813 | 0.5921 |
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- | No log | 10.0 | 60 | 0.5902 | 0.5813 | 0.5907 |
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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_task1_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_task1_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: 0.5458
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+ - Qwk: 0.4658
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+ - Mse: 0.5512
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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 | 5.2478 | -0.0019 | 5.2043 |
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+ | No log | 0.6667 | 4 | 2.1589 | 0.0283 | 2.1601 |
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+ | No log | 1.0 | 6 | 1.4355 | 0.0541 | 1.4399 |
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+ | No log | 1.3333 | 8 | 0.6301 | 0.2222 | 0.6340 |
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+ | No log | 1.6667 | 10 | 0.6183 | 0.1498 | 0.6241 |
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+ | No log | 2.0 | 12 | 1.0561 | 0.0474 | 1.0672 |
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+ | No log | 2.3333 | 14 | 1.4163 | 0.0173 | 1.4254 |
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+ | No log | 2.6667 | 16 | 0.7226 | 0.1868 | 0.7270 |
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+ | No log | 3.0 | 18 | 0.4156 | 0.3931 | 0.4169 |
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+ | No log | 3.3333 | 20 | 0.3843 | 0.3824 | 0.3843 |
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+ | No log | 3.6667 | 22 | 0.4180 | 0.3265 | 0.4208 |
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+ | No log | 4.0 | 24 | 0.6135 | 0.2391 | 0.6210 |
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+ | No log | 4.3333 | 26 | 0.6975 | 0.3265 | 0.7080 |
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+ | No log | 4.6667 | 28 | 0.4353 | 0.3666 | 0.4431 |
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+ | No log | 5.0 | 30 | 0.3291 | 0.5318 | 0.3307 |
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+ | No log | 5.3333 | 32 | 0.3685 | 0.6995 | 0.3686 |
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+ | No log | 5.6667 | 34 | 0.4312 | 0.5092 | 0.4349 |
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+ | No log | 6.0 | 36 | 0.7352 | 0.3824 | 0.7472 |
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+ | No log | 6.3333 | 38 | 0.8022 | 0.3824 | 0.8152 |
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+ | No log | 6.6667 | 40 | 0.6388 | 0.3988 | 0.6477 |
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+ | No log | 7.0 | 42 | 0.5174 | 0.4043 | 0.5223 |
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+ | No log | 7.3333 | 44 | 0.4579 | 0.4988 | 0.4598 |
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+ | No log | 7.6667 | 46 | 0.4255 | 0.6171 | 0.4251 |
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+ | No log | 8.0 | 48 | 0.4172 | 0.6171 | 0.4166 |
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+ | No log | 8.3333 | 50 | 0.4446 | 0.4989 | 0.4459 |
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+ | No log | 8.6667 | 52 | 0.5029 | 0.5155 | 0.5068 |
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+ | No log | 9.0 | 54 | 0.5447 | 0.4658 | 0.5502 |
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+ | No log | 9.3333 | 56 | 0.5508 | 0.4658 | 0.5564 |
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+ | No log | 9.6667 | 58 | 0.5519 | 0.4658 | 0.5575 |
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+ | No log | 10.0 | 60 | 0.5458 | 0.4658 | 0.5512 |
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  ### Framework versions