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arabert_baseline_grammar_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_grammar_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_grammar_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: 0.1910
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- - Qwk: 0.0
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- - Mse: 0.1910
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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 | 4.4310 | 0.0 | 4.4310 |
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- | No log | 2.0 | 4 | 3.0289 | 0.0 | 3.0289 |
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- | No log | 3.0 | 6 | 2.1305 | 0.0088 | 2.1305 |
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- | No log | 4.0 | 8 | 1.3469 | 0.0 | 1.3469 |
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- | No log | 5.0 | 10 | 0.6404 | 0.0 | 0.6404 |
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- | No log | 6.0 | 12 | 0.3694 | -0.1000 | 0.3694 |
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- | No log | 7.0 | 14 | 0.2252 | 0.0 | 0.2252 |
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- | No log | 8.0 | 16 | 0.1814 | 0.0 | 0.1814 |
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- | No log | 9.0 | 18 | 0.1877 | 0.0 | 0.1877 |
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- | No log | 10.0 | 20 | 0.1910 | 0.0 | 0.1910 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_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_grammar_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: 0.6836
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+ - Qwk: 0.5644
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+ - Mse: 0.6836
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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 | 1.8956 | 0.1818 | 1.8956 |
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+ | No log | 0.6667 | 4 | 1.7327 | 0.0 | 1.7327 |
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+ | No log | 1.0 | 6 | 1.5736 | 0.0 | 1.5736 |
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+ | No log | 1.3333 | 8 | 1.4541 | 0.0 | 1.4541 |
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+ | No log | 1.6667 | 10 | 1.3999 | 0.1860 | 1.3999 |
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+ | No log | 2.0 | 12 | 1.3873 | 0.2099 | 1.3873 |
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+ | No log | 2.3333 | 14 | 1.2920 | 0.3077 | 1.2920 |
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+ | No log | 2.6667 | 16 | 1.1687 | 0.3580 | 1.1687 |
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+ | No log | 3.0 | 18 | 1.0389 | 0.4651 | 1.0389 |
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+ | No log | 3.3333 | 20 | 0.9570 | 0.5435 | 0.9570 |
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+ | No log | 3.6667 | 22 | 0.9091 | 0.5165 | 0.9091 |
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+ | No log | 4.0 | 24 | 0.8399 | 0.5876 | 0.8399 |
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+ | No log | 4.3333 | 26 | 0.7899 | 0.5876 | 0.7899 |
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+ | No log | 4.6667 | 28 | 0.7622 | 0.5876 | 0.7622 |
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+ | No log | 5.0 | 30 | 0.7525 | 0.5876 | 0.7525 |
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+ | No log | 5.3333 | 32 | 0.7384 | 0.5876 | 0.7384 |
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+ | No log | 5.6667 | 34 | 0.7273 | 0.5876 | 0.7273 |
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+ | No log | 6.0 | 36 | 0.7207 | 0.5625 | 0.7207 |
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+ | No log | 6.3333 | 38 | 0.7165 | 0.5625 | 0.7165 |
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+ | No log | 6.6667 | 40 | 0.7152 | 0.5625 | 0.7152 |
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+ | No log | 7.0 | 42 | 0.6996 | 0.5625 | 0.6996 |
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+ | No log | 7.3333 | 44 | 0.6893 | 0.5876 | 0.6893 |
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+ | No log | 7.6667 | 46 | 0.6890 | 0.5876 | 0.6890 |
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+ | No log | 8.0 | 48 | 0.6887 | 0.5876 | 0.6887 |
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+ | No log | 8.3333 | 50 | 0.6864 | 0.5625 | 0.6864 |
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+ | No log | 8.6667 | 52 | 0.6829 | 0.6117 | 0.6829 |
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+ | No log | 9.0 | 54 | 0.6833 | 0.5644 | 0.6833 |
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+ | No log | 9.3333 | 56 | 0.6837 | 0.5644 | 0.6837 |
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+ | No log | 9.6667 | 58 | 0.6836 | 0.5644 | 0.6836 |
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+ | No log | 10.0 | 60 | 0.6836 | 0.5644 | 0.6836 |
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  ### Framework versions