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arabert_baseline_vocabulary_task2_fold0

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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_vocabulary_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_vocabulary_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: 0.4495
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- - Qwk: 0.5070
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- - Mse: 0.4537
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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 | 6.1233 | -0.0049 | 6.0762 |
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- | No log | 0.6667 | 4 | 2.5238 | 0.0438 | 2.5221 |
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- | No log | 1.0 | 6 | 1.6945 | 0.0677 | 1.7016 |
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- | No log | 1.3333 | 8 | 0.6878 | 0.2489 | 0.6921 |
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- | No log | 1.6667 | 10 | 0.5146 | 0.2759 | 0.5204 |
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- | No log | 2.0 | 12 | 0.6279 | 0.2036 | 0.6327 |
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- | No log | 2.3333 | 14 | 1.1313 | 0.0888 | 1.1412 |
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- | No log | 2.6667 | 16 | 0.8112 | 0.1508 | 0.8178 |
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- | No log | 3.0 | 18 | 0.5968 | 0.3475 | 0.6025 |
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- | No log | 3.3333 | 20 | 0.5587 | 0.3475 | 0.5649 |
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- | No log | 3.6667 | 22 | 0.3908 | 0.4828 | 0.3937 |
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- | No log | 4.0 | 24 | 0.3808 | 0.4828 | 0.3836 |
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- | No log | 4.3333 | 26 | 0.5135 | 0.4190 | 0.5196 |
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- | No log | 4.6667 | 28 | 0.7114 | 0.2825 | 0.7220 |
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- | No log | 5.0 | 30 | 0.6755 | 0.3456 | 0.6851 |
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- | No log | 5.3333 | 32 | 0.4917 | 0.5259 | 0.4969 |
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- | No log | 5.6667 | 34 | 0.4653 | 0.5679 | 0.4693 |
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- | No log | 6.0 | 36 | 0.4650 | 0.5917 | 0.4695 |
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- | No log | 6.3333 | 38 | 0.4511 | 0.5817 | 0.4552 |
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- | No log | 6.6667 | 40 | 0.4643 | 0.4296 | 0.4687 |
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- | No log | 7.0 | 42 | 0.4888 | 0.3970 | 0.4933 |
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- | No log | 7.3333 | 44 | 0.4987 | 0.3970 | 0.5033 |
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- | No log | 7.6667 | 46 | 0.4509 | 0.5191 | 0.4546 |
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- | No log | 8.0 | 48 | 0.3997 | 0.5917 | 0.4021 |
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- | No log | 8.3333 | 50 | 0.4026 | 0.5917 | 0.4048 |
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- | No log | 8.6667 | 52 | 0.4048 | 0.5817 | 0.4074 |
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- | No log | 9.0 | 54 | 0.4217 | 0.5366 | 0.4250 |
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- | No log | 9.3333 | 56 | 0.4348 | 0.5366 | 0.4386 |
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- | No log | 9.6667 | 58 | 0.4485 | 0.5070 | 0.4527 |
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- | No log | 10.0 | 60 | 0.4495 | 0.5070 | 0.4537 |
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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_vocabulary_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_vocabulary_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: 0.5710
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+ - Qwk: 0.0911
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+ - Mse: 0.5727
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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 | 5.7084 | -0.0071 | 5.7092 |
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+ | No log | 0.6667 | 4 | 2.7119 | 0.0524 | 2.7198 |
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+ | No log | 1.0 | 6 | 1.4034 | -0.0198 | 1.4046 |
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+ | No log | 1.3333 | 8 | 0.6439 | 0.0396 | 0.6441 |
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+ | No log | 1.6667 | 10 | 0.6138 | 0.0 | 0.6150 |
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+ | No log | 2.0 | 12 | 0.6664 | 0.0 | 0.6682 |
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+ | No log | 2.3333 | 14 | 0.6604 | -0.0925 | 0.6596 |
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+ | No log | 2.6667 | 16 | 0.5976 | 0.0526 | 0.5979 |
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+ | No log | 3.0 | 18 | 0.6250 | 0.1747 | 0.6254 |
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+ | No log | 3.3333 | 20 | 0.6646 | 0.1021 | 0.6644 |
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+ | No log | 3.6667 | 22 | 0.5974 | 0.2396 | 0.5967 |
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+ | No log | 4.0 | 24 | 0.5442 | 0.0911 | 0.5440 |
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+ | No log | 4.3333 | 26 | 0.5490 | 0.0289 | 0.5512 |
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+ | No log | 4.6667 | 28 | 0.5728 | 0.0 | 0.5758 |
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+ | No log | 5.0 | 30 | 0.5435 | 0.0 | 0.5463 |
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+ | No log | 5.3333 | 32 | 0.4958 | 0.2794 | 0.4980 |
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+ | No log | 5.6667 | 34 | 0.4795 | 0.2105 | 0.4813 |
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+ | No log | 6.0 | 36 | 0.4887 | 0.2167 | 0.4894 |
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+ | No log | 6.3333 | 38 | 0.4972 | 0.2222 | 0.4980 |
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+ | No log | 6.6667 | 40 | 0.5094 | 0.2222 | 0.5094 |
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+ | No log | 7.0 | 42 | 0.5328 | 0.1198 | 0.5321 |
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+ | No log | 7.3333 | 44 | 0.5401 | 0.1064 | 0.5397 |
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+ | No log | 7.6667 | 46 | 0.5403 | 0.1064 | 0.5409 |
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+ | No log | 8.0 | 48 | 0.5495 | 0.0911 | 0.5517 |
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+ | No log | 8.3333 | 50 | 0.5683 | 0.0735 | 0.5711 |
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+ | No log | 8.6667 | 52 | 0.5763 | 0.0735 | 0.5791 |
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+ | No log | 9.0 | 54 | 0.5754 | 0.0911 | 0.5779 |
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+ | No log | 9.3333 | 56 | 0.5725 | 0.0911 | 0.5748 |
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+ | No log | 9.6667 | 58 | 0.5717 | 0.0911 | 0.5736 |
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+ | No log | 10.0 | 60 | 0.5710 | 0.0911 | 0.5727 |
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  ### Framework versions