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arabert_baseline_style_task7_fold0

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  1. README.md +37 -27
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@@ -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_task6_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_task6_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: 0.8646
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- - Qwk: 0.5642
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- - Mse: 0.8646
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  ## Model description
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@@ -45,28 +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 | 0.5 | 2 | 1.9949 | 0.0653 | 1.9949 |
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- | No log | 1.0 | 4 | 0.9870 | 0.4463 | 0.9870 |
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- | No log | 1.5 | 6 | 1.0110 | 0.3212 | 1.0110 |
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- | No log | 2.0 | 8 | 1.2493 | 0.1888 | 1.2493 |
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- | No log | 2.5 | 10 | 1.3543 | 0.2877 | 1.3543 |
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- | No log | 3.0 | 12 | 0.9301 | 0.3348 | 0.9301 |
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- | No log | 3.5 | 14 | 0.8618 | 0.4615 | 0.8618 |
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- | No log | 4.0 | 16 | 0.8638 | 0.3275 | 0.8638 |
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- | No log | 4.5 | 18 | 0.8955 | 0.4340 | 0.8955 |
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- | No log | 5.0 | 20 | 0.9073 | 0.5391 | 0.9073 |
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- | No log | 5.5 | 22 | 0.8973 | 0.5817 | 0.8973 |
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- | No log | 6.0 | 24 | 0.9007 | 0.5817 | 0.9007 |
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- | No log | 6.5 | 26 | 0.8920 | 0.5817 | 0.8920 |
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- | No log | 7.0 | 28 | 0.8869 | 0.5817 | 0.8869 |
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- | No log | 7.5 | 30 | 0.8758 | 0.5817 | 0.8758 |
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- | No log | 8.0 | 32 | 0.8811 | 0.5642 | 0.8811 |
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- | No log | 8.5 | 34 | 0.8874 | 0.4943 | 0.8874 |
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- | No log | 9.0 | 36 | 0.8749 | 0.5642 | 0.8749 |
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- | No log | 9.5 | 38 | 0.8676 | 0.5642 | 0.8676 |
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- | No log | 10.0 | 40 | 0.8646 | 0.5642 | 0.8646 |
 
 
 
 
 
 
 
 
 
 
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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_task7_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_task7_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: 0.4980
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+ - Qwk: 0.5556
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+ - Mse: 0.4980
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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 | 1.5251 | 0.0993 | 1.5251 |
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+ | No log | 0.6667 | 4 | 0.8432 | 0.4389 | 0.8432 |
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+ | No log | 1.0 | 6 | 1.0961 | 0.4310 | 1.0961 |
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+ | No log | 1.3333 | 8 | 1.4643 | 0.4246 | 1.4643 |
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+ | No log | 1.6667 | 10 | 0.7875 | 0.4595 | 0.7875 |
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+ | No log | 2.0 | 12 | 0.5137 | 0.6346 | 0.5137 |
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+ | No log | 2.3333 | 14 | 0.6935 | 0.5893 | 0.6935 |
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+ | No log | 2.6667 | 16 | 0.6820 | 0.5547 | 0.6820 |
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+ | No log | 3.0 | 18 | 0.8761 | 0.4868 | 0.8761 |
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+ | No log | 3.3333 | 20 | 1.0195 | 0.4553 | 1.0195 |
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+ | No log | 3.6667 | 22 | 0.7568 | 0.4924 | 0.7568 |
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+ | No log | 4.0 | 24 | 0.5131 | 0.5471 | 0.5131 |
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+ | No log | 4.3333 | 26 | 0.4657 | 0.5627 | 0.4657 |
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+ | No log | 4.6667 | 28 | 0.4764 | 0.5471 | 0.4764 |
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+ | No log | 5.0 | 30 | 0.5337 | 0.4983 | 0.5337 |
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+ | No log | 5.3333 | 32 | 0.6627 | 0.4983 | 0.6627 |
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+ | No log | 5.6667 | 34 | 0.6382 | 0.4983 | 0.6382 |
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+ | No log | 6.0 | 36 | 0.5386 | 0.4983 | 0.5386 |
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+ | No log | 6.3333 | 38 | 0.4986 | 0.5398 | 0.4986 |
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+ | No log | 6.6667 | 40 | 0.4838 | 0.5471 | 0.4838 |
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+ | No log | 7.0 | 42 | 0.4885 | 0.5471 | 0.4885 |
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+ | No log | 7.3333 | 44 | 0.5346 | 0.5398 | 0.5346 |
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+ | No log | 7.6667 | 46 | 0.6171 | 0.5090 | 0.6171 |
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+ | No log | 8.0 | 48 | 0.6649 | 0.5090 | 0.6649 |
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+ | No log | 8.3333 | 50 | 0.6483 | 0.5090 | 0.6483 |
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+ | No log | 8.6667 | 52 | 0.5915 | 0.5090 | 0.5915 |
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+ | No log | 9.0 | 54 | 0.5598 | 0.4983 | 0.5598 |
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+ | No log | 9.3333 | 56 | 0.5257 | 0.5556 | 0.5257 |
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+ | No log | 9.6667 | 58 | 0.5073 | 0.5556 | 0.5073 |
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+ | No log | 10.0 | 60 | 0.4980 | 0.5556 | 0.4980 |
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  ### Framework versions