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arabert_baseline_style_task5_fold0

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  1. README.md +37 -17
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_task4_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_task4_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: 0.2941
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- - Qwk: 0.4545
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- - Mse: 0.2941
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  ## Model description
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@@ -45,18 +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 | 1.0 | 2 | 3.5794 | 0.0 | 3.5794 |
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- | No log | 2.0 | 4 | 2.3016 | 0.0 | 2.3016 |
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- | No log | 3.0 | 6 | 1.5677 | -0.0769 | 1.5677 |
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- | No log | 4.0 | 8 | 0.9593 | 0.0 | 0.9593 |
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- | No log | 5.0 | 10 | 0.4937 | 0.0 | 0.4937 |
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- | No log | 6.0 | 12 | 0.3911 | -0.375 | 0.3911 |
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- | No log | 7.0 | 14 | 0.3754 | 0.0 | 0.3754 |
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- | No log | 8.0 | 16 | 0.3336 | 0.0588 | 0.3336 |
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- | No log | 9.0 | 18 | 0.3020 | 0.4545 | 0.3020 |
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- | No log | 10.0 | 20 | 0.2941 | 0.4545 | 0.2941 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_task5_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_task5_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: 0.6425
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+ - Qwk: 0.6667
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+ - Mse: 0.6425
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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 | 1.7460 | 0.1985 | 1.7460 |
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+ | No log | 0.6667 | 4 | 1.5870 | 0.0 | 1.5870 |
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+ | No log | 1.0 | 6 | 1.4018 | 0.0 | 1.4018 |
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+ | No log | 1.3333 | 8 | 1.2599 | 0.0 | 1.2599 |
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+ | No log | 1.6667 | 10 | 1.2011 | 0.1294 | 1.2011 |
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+ | No log | 2.0 | 12 | 1.1822 | 0.2077 | 1.1822 |
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+ | No log | 2.3333 | 14 | 1.1032 | 0.3860 | 1.1032 |
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+ | No log | 2.6667 | 16 | 1.0087 | 0.3860 | 1.0087 |
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+ | No log | 3.0 | 18 | 0.9075 | 0.5652 | 0.9075 |
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+ | No log | 3.3333 | 20 | 0.8395 | 0.4898 | 0.8395 |
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+ | No log | 3.6667 | 22 | 0.7981 | 0.4898 | 0.7981 |
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+ | No log | 4.0 | 24 | 0.7479 | 0.5455 | 0.7479 |
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+ | No log | 4.3333 | 26 | 0.7093 | 0.5455 | 0.7093 |
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+ | No log | 4.6667 | 28 | 0.6855 | 0.6222 | 0.6855 |
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+ | No log | 5.0 | 30 | 0.6929 | 0.5614 | 0.6929 |
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+ | No log | 5.3333 | 32 | 0.7079 | 0.4813 | 0.7079 |
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+ | No log | 5.6667 | 34 | 0.6704 | 0.6222 | 0.6704 |
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+ | No log | 6.0 | 36 | 0.6443 | 0.5946 | 0.6443 |
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+ | No log | 6.3333 | 38 | 0.6496 | 0.5946 | 0.6496 |
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+ | No log | 6.6667 | 40 | 0.6556 | 0.6119 | 0.6556 |
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+ | No log | 7.0 | 42 | 0.6527 | 0.5946 | 0.6527 |
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+ | No log | 7.3333 | 44 | 0.6454 | 0.5946 | 0.6454 |
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+ | No log | 7.6667 | 46 | 0.6421 | 0.6186 | 0.6421 |
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+ | No log | 8.0 | 48 | 0.6433 | 0.6186 | 0.6433 |
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+ | No log | 8.3333 | 50 | 0.6419 | 0.6352 | 0.6419 |
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+ | No log | 8.6667 | 52 | 0.6369 | 0.6352 | 0.6369 |
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+ | No log | 9.0 | 54 | 0.6384 | 0.6667 | 0.6384 |
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+ | No log | 9.3333 | 56 | 0.6431 | 0.6667 | 0.6431 |
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+ | No log | 9.6667 | 58 | 0.6432 | 0.6667 | 0.6432 |
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+ | No log | 10.0 | 60 | 0.6425 | 0.6667 | 0.6425 |
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  ### Framework versions