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arabert_baseline_grammar_task6_fold0

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  1. README.md +27 -37
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_task5_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_task5_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: 0.4829
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- - Qwk: 0.6262
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- - Mse: 0.4829
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  ## Model description
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@@ -45,38 +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 | 0.3333 | 2 | 2.4374 | 0.0250 | 2.4374 |
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- | No log | 0.6667 | 4 | 0.9732 | -0.0090 | 0.9732 |
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- | No log | 1.0 | 6 | 0.5943 | 0.3165 | 0.5943 |
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- | No log | 1.3333 | 8 | 0.5108 | 0.3182 | 0.5108 |
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- | No log | 1.6667 | 10 | 0.4747 | 0.3137 | 0.4747 |
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- | No log | 2.0 | 12 | 0.4634 | 0.3165 | 0.4634 |
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- | No log | 2.3333 | 14 | 0.4798 | 0.4509 | 0.4798 |
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- | No log | 2.6667 | 16 | 0.4795 | 0.4737 | 0.4795 |
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- | No log | 3.0 | 18 | 0.5467 | 0.5327 | 0.5467 |
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- | No log | 3.3333 | 20 | 0.5831 | 0.5327 | 0.5831 |
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- | No log | 3.6667 | 22 | 0.5213 | 0.6269 | 0.5213 |
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- | No log | 4.0 | 24 | 0.6213 | 0.7087 | 0.6213 |
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- | No log | 4.3333 | 26 | 0.6774 | 0.7236 | 0.6774 |
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- | No log | 4.6667 | 28 | 0.6694 | 0.7236 | 0.6694 |
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- | No log | 5.0 | 30 | 0.5668 | 0.7 | 0.5668 |
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- | No log | 5.3333 | 32 | 0.5235 | 0.7059 | 0.5235 |
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- | No log | 5.6667 | 34 | 0.5216 | 0.7059 | 0.5216 |
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- | No log | 6.0 | 36 | 0.5070 | 0.5957 | 0.5070 |
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- | No log | 6.3333 | 38 | 0.5038 | 0.6047 | 0.5038 |
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- | No log | 6.6667 | 40 | 0.5220 | 0.6606 | 0.5220 |
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- | No log | 7.0 | 42 | 0.5420 | 0.6377 | 0.5420 |
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- | No log | 7.3333 | 44 | 0.5474 | 0.6667 | 0.5474 |
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- | No log | 7.6667 | 46 | 0.5400 | 0.6262 | 0.5400 |
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- | No log | 8.0 | 48 | 0.5341 | 0.6262 | 0.5341 |
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- | No log | 8.3333 | 50 | 0.5282 | 0.6262 | 0.5282 |
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- | No log | 8.6667 | 52 | 0.5146 | 0.6262 | 0.5146 |
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- | No log | 9.0 | 54 | 0.4982 | 0.6262 | 0.4982 |
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- | No log | 9.3333 | 56 | 0.4857 | 0.6262 | 0.4857 |
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- | No log | 9.6667 | 58 | 0.4846 | 0.6262 | 0.4846 |
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- | No log | 10.0 | 60 | 0.4829 | 0.6262 | 0.4829 |
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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_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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  ### 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