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arabert_baseline_organization_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_organization_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_organization_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: 0.4509
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- - Qwk: 0.6
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- - Mse: 0.4509
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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 | 1.2538 | 0.1333 | 1.2538 |
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- | No log | 0.6667 | 4 | 0.6732 | 0.5116 | 0.6732 |
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- | No log | 1.0 | 6 | 1.0128 | 0.3810 | 1.0128 |
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- | No log | 1.3333 | 8 | 0.6424 | 0.5455 | 0.6424 |
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- | No log | 1.6667 | 10 | 0.6331 | 0.5455 | 0.6331 |
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- | No log | 2.0 | 12 | 0.6841 | 0.5455 | 0.6841 |
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- | No log | 2.3333 | 14 | 0.6488 | 0.5306 | 0.6488 |
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- | No log | 2.6667 | 16 | 0.7438 | 0.5185 | 0.7438 |
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- | No log | 3.0 | 18 | 1.0106 | 0.3636 | 1.0106 |
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- | No log | 3.3333 | 20 | 1.0009 | 0.3810 | 1.0009 |
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- | No log | 3.6667 | 22 | 0.6870 | 0.5098 | 0.6870 |
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- | No log | 4.0 | 24 | 0.5375 | 0.5106 | 0.5375 |
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- | No log | 4.3333 | 26 | 0.5197 | 0.55 | 0.5197 |
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- | No log | 4.6667 | 28 | 0.5082 | 0.5366 | 0.5082 |
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- | No log | 5.0 | 30 | 0.5130 | 0.5652 | 0.5130 |
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- | No log | 5.3333 | 32 | 0.5730 | 0.56 | 0.5730 |
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- | No log | 5.6667 | 34 | 0.5916 | 0.56 | 0.5916 |
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- | No log | 6.0 | 36 | 0.5065 | 0.5306 | 0.5065 |
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- | No log | 6.3333 | 38 | 0.4667 | 0.6 | 0.4667 |
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- | No log | 6.6667 | 40 | 0.4403 | 0.6 | 0.4403 |
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- | No log | 7.0 | 42 | 0.4374 | 0.6 | 0.4374 |
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- | No log | 7.3333 | 44 | 0.4427 | 0.6 | 0.4427 |
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- | No log | 7.6667 | 46 | 0.4590 | 0.6 | 0.4590 |
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- | No log | 8.0 | 48 | 0.4783 | 0.6275 | 0.4783 |
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- | No log | 8.3333 | 50 | 0.4751 | 0.6275 | 0.4751 |
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- | No log | 8.6667 | 52 | 0.4701 | 0.6275 | 0.4701 |
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- | No log | 9.0 | 54 | 0.4678 | 0.6275 | 0.4678 |
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- | No log | 9.3333 | 56 | 0.4574 | 0.6275 | 0.4574 |
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- | No log | 9.6667 | 58 | 0.4535 | 0.6 | 0.4535 |
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- | No log | 10.0 | 60 | 0.4509 | 0.6 | 0.4509 |
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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_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_organization_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: 0.6217
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+ - Qwk: 0.4969
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+ - Mse: 0.6213
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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 | 1.0245 | 0.3758 | 1.0297 |
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+ | No log | 0.6667 | 4 | 0.7919 | 0.5312 | 0.8059 |
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+ | No log | 1.0 | 6 | 0.8469 | 0.6400 | 0.8626 |
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+ | No log | 1.3333 | 8 | 0.7621 | 0.3793 | 0.7785 |
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+ | No log | 1.6667 | 10 | 0.8831 | 0.2326 | 0.8970 |
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+ | No log | 2.0 | 12 | 0.7493 | 0.4 | 0.7628 |
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+ | No log | 2.3333 | 14 | 0.4924 | 0.6165 | 0.5052 |
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+ | No log | 2.6667 | 16 | 0.4499 | 0.6571 | 0.4612 |
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+ | No log | 3.0 | 18 | 0.4936 | 0.6203 | 0.5029 |
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+ | No log | 3.3333 | 20 | 0.7252 | 0.4224 | 0.7311 |
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+ | No log | 3.6667 | 22 | 0.9227 | 0.3657 | 0.9263 |
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+ | No log | 4.0 | 24 | 0.8957 | 0.3657 | 0.8980 |
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+ | No log | 4.3333 | 26 | 0.7242 | 0.4211 | 0.7260 |
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+ | No log | 4.6667 | 28 | 0.5595 | 0.6203 | 0.5620 |
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+ | No log | 5.0 | 30 | 0.4521 | 0.6024 | 0.4559 |
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+ | No log | 5.3333 | 32 | 0.4402 | 0.6786 | 0.4437 |
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+ | No log | 5.6667 | 34 | 0.4703 | 0.6909 | 0.4728 |
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+ | No log | 6.0 | 36 | 0.6144 | 0.5 | 0.6153 |
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+ | No log | 6.3333 | 38 | 0.7150 | 0.4969 | 0.7150 |
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+ | No log | 6.6667 | 40 | 0.7022 | 0.4969 | 0.7024 |
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+ | No log | 7.0 | 42 | 0.6409 | 0.5 | 0.6418 |
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+ | No log | 7.3333 | 44 | 0.5912 | 0.5 | 0.5923 |
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+ | No log | 7.6667 | 46 | 0.5457 | 0.6341 | 0.5469 |
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+ | No log | 8.0 | 48 | 0.5073 | 0.6909 | 0.5089 |
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+ | No log | 8.3333 | 50 | 0.5143 | 0.6909 | 0.5157 |
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+ | No log | 8.6667 | 52 | 0.5540 | 0.6341 | 0.5549 |
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+ | No log | 9.0 | 54 | 0.5883 | 0.6272 | 0.5886 |
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+ | No log | 9.3333 | 56 | 0.6103 | 0.4969 | 0.6102 |
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+ | No log | 9.6667 | 58 | 0.6204 | 0.4969 | 0.6200 |
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+ | No log | 10.0 | 60 | 0.6217 | 0.4969 | 0.6213 |
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  ### Framework versions