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arabert_cross_vocabulary_task7_fold6

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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_cross_vocabulary_task7_fold5
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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_cross_vocabulary_task7_fold5
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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: 0.4813
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- - Qwk: 0.8159
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- - Mse: 0.4813
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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 | 0.0328 | 2 | 1.7829 | 0.0226 | 1.7829 |
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- | No log | 0.0656 | 4 | 1.0550 | 0.3246 | 1.0550 |
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- | No log | 0.0984 | 6 | 1.2058 | 0.3390 | 1.2058 |
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- | No log | 0.1311 | 8 | 1.2897 | 0.4716 | 1.2897 |
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- | No log | 0.1639 | 10 | 0.7738 | 0.6671 | 0.7738 |
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- | No log | 0.1967 | 12 | 0.4801 | 0.6113 | 0.4801 |
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- | No log | 0.2295 | 14 | 0.4704 | 0.6859 | 0.4704 |
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- | No log | 0.2623 | 16 | 0.6162 | 0.7884 | 0.6162 |
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- | No log | 0.2951 | 18 | 0.8233 | 0.7575 | 0.8233 |
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- | No log | 0.3279 | 20 | 0.8253 | 0.7631 | 0.8253 |
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- | No log | 0.3607 | 22 | 0.6816 | 0.7772 | 0.6816 |
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- | No log | 0.3934 | 24 | 0.6169 | 0.7875 | 0.6169 |
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- | No log | 0.4262 | 26 | 0.6070 | 0.7969 | 0.6070 |
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- | No log | 0.4590 | 28 | 0.5939 | 0.7990 | 0.5939 |
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- | No log | 0.4918 | 30 | 0.5668 | 0.7902 | 0.5668 |
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- | No log | 0.5246 | 32 | 0.5026 | 0.8069 | 0.5026 |
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- | No log | 0.5574 | 34 | 0.5333 | 0.7935 | 0.5333 |
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- | No log | 0.5902 | 36 | 0.6348 | 0.8099 | 0.6348 |
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- | No log | 0.6230 | 38 | 0.7737 | 0.7826 | 0.7737 |
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- | No log | 0.6557 | 40 | 0.7722 | 0.7861 | 0.7722 |
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- | No log | 0.6885 | 42 | 0.6762 | 0.7874 | 0.6762 |
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- | No log | 0.7213 | 44 | 0.5498 | 0.8024 | 0.5498 |
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- | No log | 0.7541 | 46 | 0.4936 | 0.8014 | 0.4936 |
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- | No log | 0.7869 | 48 | 0.4728 | 0.8025 | 0.4728 |
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- | No log | 0.8197 | 50 | 0.4592 | 0.8048 | 0.4592 |
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- | No log | 0.8525 | 52 | 0.4339 | 0.8081 | 0.4339 |
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- | No log | 0.8852 | 54 | 0.4330 | 0.8048 | 0.4330 |
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- | No log | 0.9180 | 56 | 0.4495 | 0.8048 | 0.4495 |
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- | No log | 0.9508 | 58 | 0.4689 | 0.8114 | 0.4689 |
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- | No log | 0.9836 | 60 | 0.4813 | 0.8159 | 0.4813 |
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  ### Framework versions
 
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  tags:
4
  - generated_from_trainer
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  model-index:
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+ - name: arabert_cross_vocabulary_task7_fold6
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  results: []
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  ---
9
 
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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_cross_vocabulary_task7_fold6
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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: 0.4590
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+ - Qwk: 0.6447
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+ - Mse: 0.4579
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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 | 0.0328 | 2 | 2.4310 | 0.0444 | 2.4182 |
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+ | No log | 0.0656 | 4 | 1.0755 | 0.2942 | 1.0701 |
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+ | No log | 0.0984 | 6 | 1.4087 | 0.2913 | 1.3952 |
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+ | No log | 0.1311 | 8 | 1.4088 | 0.2931 | 1.3955 |
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+ | No log | 0.1639 | 10 | 0.6928 | 0.4909 | 0.6873 |
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+ | No log | 0.1967 | 12 | 0.5750 | 0.6609 | 0.5725 |
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+ | No log | 0.2295 | 14 | 0.5006 | 0.6728 | 0.4989 |
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+ | No log | 0.2623 | 16 | 0.4822 | 0.6065 | 0.4795 |
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+ | No log | 0.2951 | 18 | 0.6545 | 0.5276 | 0.6499 |
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+ | No log | 0.3279 | 20 | 1.0487 | 0.4061 | 1.0399 |
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+ | No log | 0.3607 | 22 | 1.1184 | 0.3952 | 1.1077 |
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+ | No log | 0.3934 | 24 | 1.0170 | 0.4299 | 1.0071 |
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+ | No log | 0.4262 | 26 | 0.5774 | 0.5919 | 0.5737 |
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+ | No log | 0.4590 | 28 | 0.4451 | 0.7458 | 0.4443 |
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+ | No log | 0.4918 | 30 | 0.4414 | 0.7776 | 0.4412 |
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+ | No log | 0.5246 | 32 | 0.4240 | 0.7423 | 0.4235 |
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+ | No log | 0.5574 | 34 | 0.4446 | 0.6969 | 0.4439 |
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+ | No log | 0.5902 | 36 | 0.6573 | 0.5608 | 0.6550 |
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+ | No log | 0.6230 | 38 | 0.7881 | 0.4856 | 0.7846 |
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+ | No log | 0.6557 | 40 | 0.7588 | 0.5118 | 0.7557 |
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+ | No log | 0.6885 | 42 | 0.6330 | 0.5988 | 0.6310 |
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+ | No log | 0.7213 | 44 | 0.5004 | 0.6314 | 0.4993 |
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+ | No log | 0.7541 | 46 | 0.4319 | 0.6887 | 0.4312 |
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+ | No log | 0.7869 | 48 | 0.4075 | 0.7028 | 0.4070 |
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+ | No log | 0.8197 | 50 | 0.4010 | 0.7041 | 0.4005 |
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+ | No log | 0.8525 | 52 | 0.3999 | 0.7089 | 0.3994 |
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+ | No log | 0.8852 | 54 | 0.4118 | 0.6952 | 0.4111 |
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+ | No log | 0.9180 | 56 | 0.4319 | 0.6733 | 0.4310 |
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+ | No log | 0.9508 | 58 | 0.4484 | 0.6528 | 0.4474 |
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+ | No log | 0.9836 | 60 | 0.4590 | 0.6447 | 0.4579 |
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  ### Framework versions