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arabert_baseline_organization_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_organization_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_organization_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: 0.7080
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- - Qwk: 0.6596
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- - Mse: 0.7206
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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 | 4.7375 | -0.0187 | 4.6528 |
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- | No log | 0.6667 | 4 | 2.9523 | 0.0354 | 2.8976 |
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- | No log | 1.0 | 6 | 1.9933 | 0.0369 | 1.9520 |
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- | No log | 1.3333 | 8 | 1.4358 | 0.1414 | 1.4243 |
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- | No log | 1.6667 | 10 | 1.3507 | 0.0742 | 1.3574 |
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- | No log | 2.0 | 12 | 1.2869 | 0.3309 | 1.2992 |
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- | No log | 2.3333 | 14 | 1.3060 | 0.4324 | 1.3235 |
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- | No log | 2.6667 | 16 | 1.2124 | 0.4085 | 1.2278 |
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- | No log | 3.0 | 18 | 1.0567 | 0.4854 | 1.0647 |
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- | No log | 3.3333 | 20 | 0.9500 | 0.4639 | 0.9565 |
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- | No log | 3.6667 | 22 | 0.8719 | 0.5769 | 0.8846 |
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- | No log | 4.0 | 24 | 0.7991 | 0.5769 | 0.8115 |
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- | No log | 4.3333 | 26 | 0.7537 | 0.5769 | 0.7666 |
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- | No log | 4.6667 | 28 | 0.7147 | 0.5514 | 0.7274 |
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- | No log | 5.0 | 30 | 0.6387 | 0.5811 | 0.6471 |
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- | No log | 5.3333 | 32 | 0.6221 | 0.5748 | 0.6286 |
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- | No log | 5.6667 | 34 | 0.6363 | 0.5811 | 0.6453 |
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- | No log | 6.0 | 36 | 0.6849 | 0.5811 | 0.6955 |
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- | No log | 6.3333 | 38 | 0.6868 | 0.5811 | 0.6971 |
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- | No log | 6.6667 | 40 | 0.6843 | 0.5435 | 0.6932 |
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- | No log | 7.0 | 42 | 0.7048 | 0.5081 | 0.7131 |
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- | No log | 7.3333 | 44 | 0.7116 | 0.5804 | 0.7201 |
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- | No log | 7.6667 | 46 | 0.7162 | 0.5779 | 0.7250 |
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- | No log | 8.0 | 48 | 0.7262 | 0.5779 | 0.7360 |
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- | No log | 8.3333 | 50 | 0.7157 | 0.5779 | 0.7258 |
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- | No log | 8.6667 | 52 | 0.7189 | 0.5779 | 0.7301 |
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- | No log | 9.0 | 54 | 0.7090 | 0.6547 | 0.7206 |
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- | No log | 9.3333 | 56 | 0.7059 | 0.6547 | 0.7179 |
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- | No log | 9.6667 | 58 | 0.7067 | 0.6547 | 0.7191 |
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- | No log | 10.0 | 60 | 0.7080 | 0.6596 | 0.7206 |
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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_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_organization_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: 0.6156
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+ - Qwk: 0.7263
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+ - Mse: 0.5866
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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 | 4.0016 | -0.0094 | 4.0420 |
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+ | No log | 0.6667 | 4 | 1.5678 | 0.0597 | 1.6106 |
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+ | No log | 1.0 | 6 | 1.1107 | 0.125 | 1.1443 |
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+ | No log | 1.3333 | 8 | 0.6987 | 0.2286 | 0.7156 |
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+ | No log | 1.6667 | 10 | 0.6381 | 0.4661 | 0.6469 |
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+ | No log | 2.0 | 12 | 0.5798 | 0.3984 | 0.5877 |
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+ | No log | 2.3333 | 14 | 0.4646 | 0.552 | 0.4642 |
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+ | No log | 2.6667 | 16 | 0.4683 | 0.6379 | 0.4526 |
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+ | No log | 3.0 | 18 | 0.4347 | 0.7154 | 0.4182 |
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+ | No log | 3.3333 | 20 | 0.4464 | 0.5977 | 0.4400 |
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+ | No log | 3.6667 | 22 | 0.4523 | 0.6957 | 0.4373 |
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+ | No log | 4.0 | 24 | 0.6917 | 0.7616 | 0.6664 |
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+ | No log | 4.3333 | 26 | 0.8197 | 0.7485 | 0.7888 |
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+ | No log | 4.6667 | 28 | 0.7131 | 0.7701 | 0.6829 |
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+ | No log | 5.0 | 30 | 0.7249 | 0.7154 | 0.6941 |
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+ | No log | 5.3333 | 32 | 0.8136 | 0.7572 | 0.7780 |
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+ | No log | 5.6667 | 34 | 0.9048 | 0.7347 | 0.8646 |
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+ | No log | 6.0 | 36 | 0.8073 | 0.7347 | 0.7664 |
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+ | No log | 6.3333 | 38 | 0.7257 | 0.7840 | 0.6853 |
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+ | No log | 6.6667 | 40 | 0.7345 | 0.7840 | 0.6936 |
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+ | No log | 7.0 | 42 | 0.7184 | 0.7263 | 0.6797 |
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+ | No log | 7.3333 | 44 | 0.6757 | 0.7263 | 0.6409 |
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+ | No log | 7.6667 | 46 | 0.7056 | 0.7042 | 0.6701 |
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+ | No log | 8.0 | 48 | 0.7177 | 0.7515 | 0.6822 |
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+ | No log | 8.3333 | 50 | 0.7076 | 0.7515 | 0.6730 |
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+ | No log | 8.6667 | 52 | 0.7003 | 0.7515 | 0.6663 |
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+ | No log | 9.0 | 54 | 0.6732 | 0.7515 | 0.6407 |
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+ | No log | 9.3333 | 56 | 0.6412 | 0.7042 | 0.6104 |
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+ | No log | 9.6667 | 58 | 0.6207 | 0.7263 | 0.5913 |
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+ | No log | 10.0 | 60 | 0.6156 | 0.7263 | 0.5866 |
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  ### Framework versions