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arabert_baseline_style_task1_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_development_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_development_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: 0.4808
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- - Qwk: 0.6800
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- - Mse: 0.4658
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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 | 1.1708 | 0.1401 | 1.1442 |
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- | No log | 0.6667 | 4 | 0.6797 | 0.4733 | 0.6689 |
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- | No log | 1.0 | 6 | 0.8726 | 0.35 | 0.8601 |
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- | No log | 1.3333 | 8 | 0.6330 | 0.4407 | 0.6258 |
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- | No log | 1.6667 | 10 | 0.4729 | 0.7317 | 0.4705 |
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- | No log | 2.0 | 12 | 0.4560 | 0.7727 | 0.4525 |
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- | No log | 2.3333 | 14 | 0.4835 | 0.5161 | 0.4748 |
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- | No log | 2.6667 | 16 | 0.6021 | 0.4361 | 0.5871 |
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- | No log | 3.0 | 18 | 0.5490 | 0.5036 | 0.5343 |
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- | No log | 3.3333 | 20 | 0.4924 | 0.5772 | 0.4790 |
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- | No log | 3.6667 | 22 | 0.4506 | 0.6531 | 0.4384 |
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- | No log | 4.0 | 24 | 0.4816 | 0.6710 | 0.4656 |
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- | No log | 4.3333 | 26 | 0.5471 | 0.5818 | 0.5260 |
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- | No log | 4.6667 | 28 | 0.5883 | 0.4286 | 0.5652 |
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- | No log | 5.0 | 30 | 0.5645 | 0.4971 | 0.5423 |
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- | No log | 5.3333 | 32 | 0.4974 | 0.5823 | 0.4779 |
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- | No log | 5.6667 | 34 | 0.4623 | 0.6369 | 0.4450 |
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- | No log | 6.0 | 36 | 0.4534 | 0.6980 | 0.4376 |
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- | No log | 6.3333 | 38 | 0.4859 | 0.6369 | 0.4690 |
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- | No log | 6.6667 | 40 | 0.5046 | 0.5823 | 0.4879 |
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- | No log | 7.0 | 42 | 0.4998 | 0.6225 | 0.4840 |
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- | No log | 7.3333 | 44 | 0.4877 | 0.6434 | 0.4725 |
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- | No log | 7.6667 | 46 | 0.4853 | 0.6434 | 0.4702 |
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- | No log | 8.0 | 48 | 0.4746 | 0.6434 | 0.4601 |
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- | No log | 8.3333 | 50 | 0.4732 | 0.6434 | 0.4588 |
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- | No log | 8.6667 | 52 | 0.4819 | 0.6434 | 0.4671 |
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- | No log | 9.0 | 54 | 0.4873 | 0.6225 | 0.4722 |
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- | No log | 9.3333 | 56 | 0.4833 | 0.6800 | 0.4684 |
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- | No log | 9.6667 | 58 | 0.4812 | 0.6800 | 0.4662 |
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- | No log | 10.0 | 60 | 0.4808 | 0.6800 | 0.4658 |
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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_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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  ### 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 | 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