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arabert_baseline_organization_task2_fold0

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  1. README.md +37 -37
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_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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@@ -45,38 +45,38 @@ The following hyperparameters were used during training:
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  ### Training results
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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
 
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  tags:
4
  - generated_from_trainer
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  model-index:
6
+ - name: arabert_baseline_organization_task2_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_task2_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: 0.4765
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+ - Qwk: 0.5051
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+ - Mse: 0.4812
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  ## Model description
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  ### Training results
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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 | 3.4785 | 0.0139 | 3.4271 |
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+ | No log | 0.6667 | 4 | 1.3527 | 0.0988 | 1.3438 |
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+ | No log | 1.0 | 6 | 0.9762 | 0.0466 | 0.9710 |
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+ | No log | 1.3333 | 8 | 0.5845 | 0.3068 | 0.5906 |
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+ | No log | 1.6667 | 10 | 0.6355 | 0.4901 | 0.6479 |
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+ | No log | 2.0 | 12 | 0.6002 | 0.4901 | 0.6080 |
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+ | No log | 2.3333 | 14 | 0.5521 | 0.3591 | 0.5519 |
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+ | No log | 2.6667 | 16 | 0.5671 | 0.5312 | 0.5733 |
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+ | No log | 3.0 | 18 | 0.5298 | 0.5351 | 0.5340 |
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+ | No log | 3.3333 | 20 | 0.5071 | 0.3871 | 0.4996 |
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+ | No log | 3.6667 | 22 | 0.4892 | 0.3871 | 0.4817 |
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+ | No log | 4.0 | 24 | 0.4557 | 0.5051 | 0.4597 |
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+ | No log | 4.3333 | 26 | 0.5421 | 0.5205 | 0.5533 |
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+ | No log | 4.6667 | 28 | 0.5017 | 0.5263 | 0.5115 |
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+ | No log | 5.0 | 30 | 0.4329 | 0.5365 | 0.4364 |
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+ | No log | 5.3333 | 32 | 0.4203 | 0.4431 | 0.4190 |
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+ | No log | 5.6667 | 34 | 0.4083 | 0.4848 | 0.4015 |
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+ | No log | 6.0 | 36 | 0.4520 | 0.4167 | 0.4366 |
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+ | No log | 6.3333 | 38 | 0.4291 | 0.4396 | 0.4158 |
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+ | No log | 6.6667 | 40 | 0.4230 | 0.4324 | 0.4110 |
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+ | No log | 7.0 | 42 | 0.4029 | 0.4848 | 0.3965 |
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+ | No log | 7.3333 | 44 | 0.4095 | 0.4848 | 0.4043 |
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+ | No log | 7.6667 | 46 | 0.4194 | 0.4149 | 0.4149 |
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+ | No log | 8.0 | 48 | 0.4324 | 0.5051 | 0.4317 |
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+ | No log | 8.3333 | 50 | 0.4591 | 0.5051 | 0.4628 |
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+ | No log | 8.6667 | 52 | 0.4758 | 0.4652 | 0.4811 |
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+ | No log | 9.0 | 54 | 0.4791 | 0.4652 | 0.4844 |
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+ | No log | 9.3333 | 56 | 0.4781 | 0.4652 | 0.4831 |
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+ | No log | 9.6667 | 58 | 0.4760 | 0.5051 | 0.4806 |
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+ | No log | 10.0 | 60 | 0.4765 | 0.5051 | 0.4812 |
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  ### Framework versions