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arabert_baseline_style_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_style_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_style_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: 0.5100
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- - Qwk: 0.6698
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- - Mse: 0.5053
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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 | 5.4651 | -0.0419 | 5.4241 |
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- | No log | 0.6667 | 4 | 2.3074 | 0.1693 | 2.2743 |
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- | No log | 1.0 | 6 | 1.2115 | 0.1561 | 1.2001 |
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- | No log | 1.3333 | 8 | 0.9959 | 0.4358 | 0.9923 |
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- | No log | 1.6667 | 10 | 0.7290 | 0.4921 | 0.7317 |
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- | No log | 2.0 | 12 | 0.7145 | 0.5587 | 0.7193 |
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- | No log | 2.3333 | 14 | 0.7329 | 0.5435 | 0.7351 |
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- | No log | 2.6667 | 16 | 0.7694 | 0.5219 | 0.7660 |
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- | No log | 3.0 | 18 | 0.9233 | 0.4358 | 0.9210 |
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- | No log | 3.3333 | 20 | 0.8596 | 0.4516 | 0.8545 |
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- | No log | 3.6667 | 22 | 0.7445 | 0.5743 | 0.7322 |
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- | No log | 4.0 | 24 | 0.7760 | 0.4773 | 0.7614 |
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- | No log | 4.3333 | 26 | 0.6783 | 0.5743 | 0.6684 |
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- | No log | 4.6667 | 28 | 0.7836 | 0.5152 | 0.7834 |
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- | No log | 5.0 | 30 | 0.7387 | 0.5188 | 0.7401 |
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- | No log | 5.3333 | 32 | 0.5679 | 0.5743 | 0.5656 |
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- | No log | 5.6667 | 34 | 0.5183 | 0.5743 | 0.5136 |
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- | No log | 6.0 | 36 | 0.5055 | 0.5743 | 0.5017 |
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- | No log | 6.3333 | 38 | 0.5518 | 0.5188 | 0.5511 |
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- | No log | 6.6667 | 40 | 0.6558 | 0.5188 | 0.6585 |
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- | No log | 7.0 | 42 | 0.6773 | 0.6025 | 0.6812 |
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- | No log | 7.3333 | 44 | 0.6216 | 0.6025 | 0.6242 |
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- | No log | 7.6667 | 46 | 0.5382 | 0.6698 | 0.5375 |
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- | No log | 8.0 | 48 | 0.5083 | 0.6698 | 0.5056 |
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- | No log | 8.3333 | 50 | 0.5045 | 0.6698 | 0.5004 |
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- | No log | 8.6667 | 52 | 0.5059 | 0.7151 | 0.5009 |
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- | No log | 9.0 | 54 | 0.5070 | 0.7151 | 0.5018 |
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- | No log | 9.3333 | 56 | 0.5069 | 0.7151 | 0.5016 |
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- | No log | 9.6667 | 58 | 0.5086 | 0.7151 | 0.5037 |
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- | No log | 10.0 | 60 | 0.5100 | 0.6698 | 0.5053 |
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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_style_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_style_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: 0.4983
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+ - Qwk: 0.5052
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+ - Mse: 0.4984
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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 | 5.8113 | -0.0102 | 5.7669 |
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+ | No log | 0.6667 | 4 | 2.3576 | 0.0342 | 2.3554 |
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+ | No log | 1.0 | 6 | 1.4911 | 0.0652 | 1.4969 |
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+ | No log | 1.3333 | 8 | 0.7580 | 0.1021 | 0.7628 |
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+ | No log | 1.6667 | 10 | 0.5619 | 0.2851 | 0.5662 |
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+ | No log | 2.0 | 12 | 0.6485 | 0.0870 | 0.6536 |
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+ | No log | 2.3333 | 14 | 1.0404 | 0.1138 | 1.0530 |
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+ | No log | 2.6667 | 16 | 0.6654 | 0.2646 | 0.6722 |
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+ | No log | 3.0 | 18 | 0.4343 | 0.3425 | 0.4348 |
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+ | No log | 3.3333 | 20 | 0.4318 | 0.4057 | 0.4340 |
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+ | No log | 3.6667 | 22 | 0.4542 | 0.4057 | 0.4579 |
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+ | No log | 4.0 | 24 | 0.5421 | 0.3191 | 0.5486 |
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+ | No log | 4.3333 | 26 | 0.4470 | 0.3780 | 0.4507 |
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+ | No log | 4.6667 | 28 | 0.4369 | 0.5130 | 0.4397 |
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+ | No log | 5.0 | 30 | 0.4435 | 0.5130 | 0.4458 |
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+ | No log | 5.3333 | 32 | 0.4758 | 0.6488 | 0.4772 |
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+ | No log | 5.6667 | 34 | 0.5072 | 0.5130 | 0.5092 |
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+ | No log | 6.0 | 36 | 0.5982 | 0.4160 | 0.6024 |
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+ | No log | 6.3333 | 38 | 0.6201 | 0.3368 | 0.6243 |
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+ | No log | 6.6667 | 40 | 0.5336 | 0.4731 | 0.5349 |
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+ | No log | 7.0 | 42 | 0.5080 | 0.6613 | 0.5072 |
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+ | No log | 7.3333 | 44 | 0.4953 | 0.6613 | 0.4944 |
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+ | No log | 7.6667 | 46 | 0.4884 | 0.5689 | 0.4879 |
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+ | No log | 8.0 | 48 | 0.4997 | 0.5052 | 0.4999 |
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+ | No log | 8.3333 | 50 | 0.5187 | 0.4731 | 0.5194 |
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+ | No log | 8.6667 | 52 | 0.5092 | 0.4731 | 0.5095 |
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+ | No log | 9.0 | 54 | 0.4978 | 0.5052 | 0.4977 |
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+ | No log | 9.3333 | 56 | 0.4999 | 0.5052 | 0.5000 |
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+ | No log | 9.6667 | 58 | 0.5004 | 0.5052 | 0.5006 |
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+ | No log | 10.0 | 60 | 0.4983 | 0.5052 | 0.4984 |
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  ### Framework versions