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arabert_baseline_style_task3_fold0

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  1. README.md +20 -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_task2_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_task2_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: 0.2735
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- - Qwk: 0.5032
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- - Mse: 0.2833
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  ## Model description
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@@ -47,36 +47,21 @@ 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 | 4.3795 | -0.0067 | 4.5325 |
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- | No log | 0.6667 | 4 | 1.5557 | 0.0644 | 1.6441 |
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- | No log | 1.0 | 6 | 0.6609 | 0.0 | 0.7022 |
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- | No log | 1.3333 | 8 | 0.5071 | 0.0 | 0.5017 |
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- | No log | 1.6667 | 10 | 0.5796 | 0.0 | 0.5647 |
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- | No log | 2.0 | 12 | 0.3894 | 0.4 | 0.4110 |
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- | No log | 2.3333 | 14 | 0.4086 | 0.2062 | 0.4404 |
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- | No log | 2.6667 | 16 | 0.3368 | 0.3186 | 0.3500 |
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- | No log | 3.0 | 18 | 0.3285 | 0.3269 | 0.3345 |
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- | No log | 3.3333 | 20 | 0.3077 | 0.3186 | 0.3155 |
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- | No log | 3.6667 | 22 | 0.2646 | 0.4262 | 0.2783 |
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- | No log | 4.0 | 24 | 0.2477 | 0.4 | 0.2670 |
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- | No log | 4.3333 | 26 | 0.2314 | 0.4 | 0.2483 |
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- | No log | 4.6667 | 28 | 0.2262 | 0.4122 | 0.2420 |
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- | No log | 5.0 | 30 | 0.2567 | 0.4425 | 0.2647 |
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- | No log | 5.3333 | 32 | 0.3341 | 0.3269 | 0.3334 |
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- | No log | 5.6667 | 34 | 0.2994 | 0.4425 | 0.3020 |
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- | No log | 6.0 | 36 | 0.2391 | 0.4 | 0.2498 |
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- | No log | 6.3333 | 38 | 0.2339 | 0.4 | 0.2445 |
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- | No log | 6.6667 | 40 | 0.2305 | 0.4 | 0.2408 |
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- | No log | 7.0 | 42 | 0.2435 | 0.4122 | 0.2512 |
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- | No log | 7.3333 | 44 | 0.2638 | 0.4122 | 0.2692 |
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- | No log | 7.6667 | 46 | 0.2765 | 0.4122 | 0.2815 |
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- | No log | 8.0 | 48 | 0.2797 | 0.4122 | 0.2854 |
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- | No log | 8.3333 | 50 | 0.2854 | 0.4539 | 0.2913 |
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- | No log | 8.6667 | 52 | 0.2874 | 0.5205 | 0.2938 |
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- | No log | 9.0 | 54 | 0.2791 | 0.475 | 0.2872 |
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- | No log | 9.3333 | 56 | 0.2716 | 0.5032 | 0.2813 |
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- | No log | 9.6667 | 58 | 0.2731 | 0.5032 | 0.2829 |
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- | No log | 10.0 | 60 | 0.2735 | 0.5032 | 0.2833 |
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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_task3_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_task3_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: 0.6911
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+ - Qwk: 0.0
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+ - Mse: 0.7019
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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 | 0.6667 | 2 | 3.4019 | -0.0069 | 3.3417 |
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+ | No log | 1.3333 | 4 | 1.2359 | -0.1172 | 1.2020 |
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+ | No log | 2.0 | 6 | 0.6141 | 0.0 | 0.5883 |
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+ | No log | 2.6667 | 8 | 0.6682 | -0.0476 | 0.6667 |
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+ | No log | 3.3333 | 10 | 0.4760 | 0.0472 | 0.4717 |
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+ | No log | 4.0 | 12 | 0.4843 | -0.0784 | 0.4902 |
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+ | No log | 4.6667 | 14 | 0.6953 | -0.0476 | 0.7063 |
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+ | No log | 5.3333 | 16 | 0.5093 | -0.0476 | 0.5145 |
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+ | No log | 6.0 | 18 | 0.3933 | -0.1379 | 0.3915 |
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+ | No log | 6.6667 | 20 | 0.4494 | -0.0476 | 0.4514 |
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+ | No log | 7.3333 | 22 | 0.5244 | -0.0476 | 0.5293 |
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+ | No log | 8.0 | 24 | 0.6106 | 0.0 | 0.6182 |
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+ | No log | 8.6667 | 26 | 0.7248 | 0.0 | 0.7351 |
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+ | No log | 9.3333 | 28 | 0.7173 | 0.0 | 0.7282 |
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+ | No log | 10.0 | 30 | 0.6911 | 0.0 | 0.7019 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions