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arabert_baseline_grammar_task1_fold0

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  1. README.md +37 -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_mechanics_task7_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_mechanics_task7_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: 0.3250
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- - Qwk: 0.7258
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- - Mse: 0.3234
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  ## Model description
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@@ -45,38 +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 | 0.3333 | 2 | 0.9603 | 0.2687 | 0.9651 |
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- | No log | 0.6667 | 4 | 0.6926 | 0.5364 | 0.7202 |
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- | No log | 1.0 | 6 | 0.7727 | 0.6067 | 0.8086 |
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- | No log | 1.3333 | 8 | 0.7221 | 0.3538 | 0.7310 |
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- | No log | 1.6667 | 10 | 0.6375 | 0.4368 | 0.6487 |
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- | No log | 2.0 | 12 | 0.5211 | 0.6263 | 0.5378 |
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- | No log | 2.3333 | 14 | 0.4993 | 0.5911 | 0.5125 |
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- | No log | 2.6667 | 16 | 0.5624 | 0.6433 | 0.5686 |
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- | No log | 3.0 | 18 | 0.5828 | 0.6023 | 0.5851 |
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- | No log | 3.3333 | 20 | 0.4962 | 0.6576 | 0.4985 |
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- | No log | 3.6667 | 22 | 0.4100 | 0.6702 | 0.4135 |
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- | No log | 4.0 | 24 | 0.4169 | 0.6702 | 0.4169 |
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- | No log | 4.3333 | 26 | 0.4947 | 0.6509 | 0.4883 |
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- | No log | 4.6667 | 28 | 0.6006 | 0.5556 | 0.5893 |
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- | No log | 5.0 | 30 | 0.5615 | 0.6121 | 0.5504 |
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- | No log | 5.3333 | 32 | 0.4063 | 0.6702 | 0.4018 |
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- | No log | 5.6667 | 34 | 0.3483 | 0.7083 | 0.3470 |
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- | No log | 6.0 | 36 | 0.3490 | 0.7258 | 0.3465 |
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- | No log | 6.3333 | 38 | 0.3721 | 0.7258 | 0.3681 |
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- | No log | 6.6667 | 40 | 0.3827 | 0.7337 | 0.3782 |
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- | No log | 7.0 | 42 | 0.4201 | 0.6757 | 0.4135 |
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- | No log | 7.3333 | 44 | 0.4186 | 0.6757 | 0.4120 |
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- | No log | 7.6667 | 46 | 0.3821 | 0.7337 | 0.3775 |
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- | No log | 8.0 | 48 | 0.3398 | 0.7258 | 0.3377 |
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- | No log | 8.3333 | 50 | 0.3148 | 0.7258 | 0.3139 |
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- | No log | 8.6667 | 52 | 0.3098 | 0.7258 | 0.3091 |
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- | No log | 9.0 | 54 | 0.3110 | 0.7258 | 0.3101 |
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- | No log | 9.3333 | 56 | 0.3160 | 0.7258 | 0.3149 |
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- | No log | 9.6667 | 58 | 0.3224 | 0.7258 | 0.3209 |
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- | No log | 10.0 | 60 | 0.3250 | 0.7258 | 0.3234 |
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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_task1_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_task1_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: 0.5311
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+ - Qwk: 0.5882
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+ - Mse: 0.5332
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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 | 4.8751 | -0.0497 | 4.7777 |
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+ | No log | 0.6667 | 4 | 1.9817 | 0.0263 | 1.9110 |
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+ | No log | 1.0 | 6 | 1.0160 | 0.1348 | 0.9761 |
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+ | No log | 1.3333 | 8 | 0.8888 | 0.2611 | 0.8614 |
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+ | No log | 1.6667 | 10 | 0.7375 | 0.4340 | 0.7296 |
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+ | No log | 2.0 | 12 | 0.9526 | 0.2222 | 0.9430 |
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+ | No log | 2.3333 | 14 | 0.8202 | 0.3636 | 0.8111 |
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+ | No log | 2.6667 | 16 | 0.6506 | 0.4324 | 0.6405 |
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+ | No log | 3.0 | 18 | 0.7279 | 0.4290 | 0.7066 |
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+ | No log | 3.3333 | 20 | 0.8689 | 0.3668 | 0.8447 |
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+ | No log | 3.6667 | 22 | 0.7419 | 0.4119 | 0.7226 |
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+ | No log | 4.0 | 24 | 0.6583 | 0.5051 | 0.6408 |
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+ | No log | 4.3333 | 26 | 0.6672 | 0.4726 | 0.6487 |
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+ | No log | 4.6667 | 28 | 0.6625 | 0.4373 | 0.6466 |
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+ | No log | 5.0 | 30 | 0.6519 | 0.4061 | 0.6397 |
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+ | No log | 5.3333 | 32 | 0.6430 | 0.4358 | 0.6321 |
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+ | No log | 5.6667 | 34 | 0.6395 | 0.4358 | 0.6295 |
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+ | No log | 6.0 | 36 | 0.6008 | 0.5051 | 0.5923 |
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+ | No log | 6.3333 | 38 | 0.5776 | 0.5051 | 0.5691 |
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+ | No log | 6.6667 | 40 | 0.5657 | 0.5051 | 0.5566 |
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+ | No log | 7.0 | 42 | 0.5537 | 0.5051 | 0.5464 |
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+ | No log | 7.3333 | 44 | 0.5474 | 0.5051 | 0.5417 |
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+ | No log | 7.6667 | 46 | 0.5355 | 0.5051 | 0.5321 |
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+ | No log | 8.0 | 48 | 0.5261 | 0.5051 | 0.5245 |
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+ | No log | 8.3333 | 50 | 0.5235 | 0.5882 | 0.5233 |
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+ | No log | 8.6667 | 52 | 0.5271 | 0.5882 | 0.5280 |
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+ | No log | 9.0 | 54 | 0.5282 | 0.5882 | 0.5300 |
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+ | No log | 9.3333 | 56 | 0.5296 | 0.5882 | 0.5318 |
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+ | No log | 9.6667 | 58 | 0.5304 | 0.5882 | 0.5327 |
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+ | No log | 10.0 | 60 | 0.5311 | 0.5882 | 0.5332 |
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  ### Framework versions