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arabert_baseline_grammar_task2_fold0

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  1. README.md +35 -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_grammar_task1_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_task1_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: 1.0215
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- - Qwk: 0.4277
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- - Mse: 1.0149
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  ## Model description
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@@ -47,36 +47,36 @@ 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 | 6.3410 | 0.0064 | 6.3164 |
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- | No log | 0.6667 | 4 | 2.8727 | -0.0032 | 2.8725 |
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- | No log | 1.0 | 6 | 1.9270 | 0.0637 | 1.9299 |
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- | No log | 1.3333 | 8 | 1.0990 | 0.0473 | 1.1001 |
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- | No log | 1.6667 | 10 | 0.8012 | 0.1845 | 0.8013 |
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- | No log | 2.0 | 12 | 1.1169 | 0.0073 | 1.1140 |
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- | No log | 2.3333 | 14 | 1.7714 | 0.0178 | 1.7742 |
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- | No log | 2.6667 | 16 | 1.2969 | 0.0732 | 1.2959 |
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- | No log | 3.0 | 18 | 0.7829 | 0.1901 | 0.7782 |
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- | No log | 3.3333 | 20 | 0.6867 | 0.2424 | 0.6831 |
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- | No log | 3.6667 | 22 | 0.7196 | 0.3083 | 0.7164 |
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- | No log | 4.0 | 24 | 0.9069 | 0.2976 | 0.9039 |
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- | No log | 4.3333 | 26 | 1.0224 | 0.2067 | 1.0193 |
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- | No log | 4.6667 | 28 | 1.1040 | 0.2031 | 1.1003 |
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- | No log | 5.0 | 30 | 0.9157 | 0.3099 | 0.9103 |
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- | No log | 5.3333 | 32 | 0.8876 | 0.3542 | 0.8806 |
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- | No log | 5.6667 | 34 | 1.0466 | 0.3092 | 1.0395 |
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- | No log | 6.0 | 36 | 1.1926 | 0.2415 | 1.1858 |
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- | No log | 6.3333 | 38 | 1.0798 | 0.2979 | 1.0719 |
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- | No log | 6.6667 | 40 | 0.9440 | 0.4539 | 0.9342 |
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- | No log | 7.0 | 42 | 0.9339 | 0.4539 | 0.9235 |
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- | No log | 7.3333 | 44 | 1.0280 | 0.2979 | 1.0189 |
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- | No log | 7.6667 | 46 | 1.1837 | 0.2266 | 1.1769 |
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- | No log | 8.0 | 48 | 1.2050 | 0.2266 | 1.1989 |
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- | No log | 8.3333 | 50 | 1.1372 | 0.3277 | 1.1307 |
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- | No log | 8.6667 | 52 | 1.0392 | 0.3092 | 1.0317 |
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- | No log | 9.0 | 54 | 0.9980 | 0.4027 | 0.9903 |
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- | No log | 9.3333 | 56 | 0.9952 | 0.4027 | 0.9879 |
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- | No log | 9.6667 | 58 | 1.0174 | 0.4277 | 1.0106 |
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- | No log | 10.0 | 60 | 1.0215 | 0.4277 | 1.0149 |
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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_task2_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_task2_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: 1.2738
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+ - Qwk: 0.0491
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+ - Mse: 1.2508
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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 | 0.3333 | 2 | 4.9005 | 0.0126 | 4.8502 |
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+ | No log | 0.6667 | 4 | 2.4699 | 0.0387 | 2.4471 |
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+ | No log | 1.0 | 6 | 1.4800 | -0.0982 | 1.4570 |
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+ | No log | 1.3333 | 8 | 1.0496 | 0.0541 | 1.0294 |
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+ | No log | 1.6667 | 10 | 1.2284 | 0.0 | 1.2139 |
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+ | No log | 2.0 | 12 | 1.4327 | 0.0 | 1.4198 |
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+ | No log | 2.3333 | 14 | 1.4042 | 0.0 | 1.3911 |
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+ | No log | 2.6667 | 16 | 1.1140 | -0.0161 | 1.0974 |
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+ | No log | 3.0 | 18 | 1.0138 | 0.1083 | 0.9870 |
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+ | No log | 3.3333 | 20 | 1.0084 | 0.2200 | 0.9831 |
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+ | No log | 3.6667 | 22 | 1.0806 | 0.0696 | 1.0592 |
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+ | No log | 4.0 | 24 | 1.2446 | -0.1170 | 1.2246 |
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+ | No log | 4.3333 | 26 | 1.4549 | -0.0960 | 1.4445 |
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+ | No log | 4.6667 | 28 | 1.3332 | 0.0585 | 1.3205 |
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+ | No log | 5.0 | 30 | 1.0953 | 0.0870 | 1.0641 |
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+ | No log | 5.3333 | 32 | 1.0705 | 0.0616 | 1.0381 |
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+ | No log | 5.6667 | 34 | 1.1503 | 0.1064 | 1.1300 |
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+ | No log | 6.0 | 36 | 1.2818 | 0.0585 | 1.2670 |
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+ | No log | 6.3333 | 38 | 1.3332 | -0.0161 | 1.3186 |
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+ | No log | 6.6667 | 40 | 1.2686 | 0.0491 | 1.2516 |
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+ | No log | 7.0 | 42 | 1.1870 | 0.0491 | 1.1658 |
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+ | No log | 7.3333 | 44 | 1.1491 | 0.0491 | 1.1243 |
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+ | No log | 7.6667 | 46 | 1.1946 | 0.0491 | 1.1709 |
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+ | No log | 8.0 | 48 | 1.3196 | 0.0491 | 1.3003 |
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+ | No log | 8.3333 | 50 | 1.3925 | 0.0541 | 1.3747 |
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+ | No log | 8.6667 | 52 | 1.3818 | 0.0541 | 1.3633 |
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+ | No log | 9.0 | 54 | 1.3491 | 0.0491 | 1.3293 |
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+ | No log | 9.3333 | 56 | 1.3127 | 0.0491 | 1.2916 |
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+ | No log | 9.6667 | 58 | 1.2864 | 0.0491 | 1.2640 |
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+ | No log | 10.0 | 60 | 1.2738 | 0.0491 | 1.2508 |
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  ### Framework versions