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End of training

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  1. README.md +27 -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_grammar_task6_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_grammar_task6_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: 0.4892
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- - Qwk: 0.6051
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- - Mse: 0.4892
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  ## Model description
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@@ -45,28 +45,28 @@ 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 | 1.0890 | 0.2687 | 1.0890 |
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- | No log | 1.0 | 4 | 0.7915 | 0.3000 | 0.7915 |
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- | No log | 1.5 | 6 | 0.8650 | 0.3529 | 0.8650 |
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- | No log | 2.0 | 8 | 0.7927 | 0.3529 | 0.7927 |
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- | No log | 2.5 | 10 | 0.6821 | 0.2602 | 0.6821 |
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- | No log | 3.0 | 12 | 0.6081 | 0.4793 | 0.6081 |
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- | No log | 3.5 | 14 | 0.6266 | 0.5882 | 0.6266 |
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- | No log | 4.0 | 16 | 0.7668 | 0.5191 | 0.7668 |
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- | No log | 4.5 | 18 | 0.7382 | 0.6164 | 0.7382 |
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- | No log | 5.0 | 20 | 0.5722 | 0.7651 | 0.5722 |
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- | No log | 5.5 | 22 | 0.5444 | 0.6755 | 0.5444 |
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- | No log | 6.0 | 24 | 0.5298 | 0.6755 | 0.5298 |
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- | No log | 6.5 | 26 | 0.5351 | 0.7651 | 0.5351 |
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- | No log | 7.0 | 28 | 0.5998 | 0.6957 | 0.5998 |
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- | No log | 7.5 | 30 | 0.5874 | 0.6957 | 0.5874 |
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- | No log | 8.0 | 32 | 0.5369 | 0.6216 | 0.5369 |
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- | No log | 8.5 | 34 | 0.4961 | 0.6480 | 0.4961 |
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- | No log | 9.0 | 36 | 0.4879 | 0.6051 | 0.4879 |
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- | No log | 9.5 | 38 | 0.4895 | 0.6051 | 0.4895 |
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- | No log | 10.0 | 40 | 0.4892 | 0.6051 | 0.4892 |
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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_grammar_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_grammar_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: 0.7851
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+ - Qwk: 0.7296
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+ - Mse: 0.7851
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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 | 0.5 | 2 | 1.4135 | -0.0678 | 1.4135 |
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+ | No log | 1.0 | 4 | 0.9828 | 0.5032 | 0.9828 |
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+ | No log | 1.5 | 6 | 1.1603 | 0.3288 | 1.1603 |
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+ | No log | 2.0 | 8 | 1.0440 | 0.2036 | 1.0440 |
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+ | No log | 2.5 | 10 | 0.8854 | 0.2383 | 0.8854 |
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+ | No log | 3.0 | 12 | 0.7492 | 0.4348 | 0.7492 |
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+ | No log | 3.5 | 14 | 0.7513 | 0.4348 | 0.7513 |
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+ | No log | 4.0 | 16 | 0.8038 | 0.6500 | 0.8038 |
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+ | No log | 4.5 | 18 | 0.8093 | 0.6500 | 0.8093 |
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+ | No log | 5.0 | 20 | 0.8924 | 0.6847 | 0.8924 |
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+ | No log | 5.5 | 22 | 1.0282 | 0.6805 | 1.0282 |
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+ | No log | 6.0 | 24 | 0.9757 | 0.7296 | 0.9757 |
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+ | No log | 6.5 | 26 | 0.9823 | 0.7296 | 0.9823 |
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+ | No log | 7.0 | 28 | 0.9823 | 0.6957 | 0.9823 |
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+ | No log | 7.5 | 30 | 0.8153 | 0.7296 | 0.8153 |
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+ | No log | 8.0 | 32 | 0.7571 | 0.6192 | 0.7571 |
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+ | No log | 8.5 | 34 | 0.7411 | 0.7014 | 0.7411 |
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+ | No log | 9.0 | 36 | 0.7685 | 0.7296 | 0.7685 |
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+ | No log | 9.5 | 38 | 0.7773 | 0.7296 | 0.7773 |
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+ | No log | 10.0 | 40 | 0.7851 | 0.7296 | 0.7851 |
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  ### Framework versions