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arabert_baseline_vocabulary_task3_fold0

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  1. README.md +22 -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_vocabulary_task2_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_vocabulary_task2_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: 0.5031
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- - Qwk: 0.5714
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- - Mse: 0.5016
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  ## Model description
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@@ -45,38 +45,23 @@ 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 | 4.1484 | 0.0038 | 4.1936 |
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- | No log | 0.6667 | 4 | 1.4862 | 0.0810 | 1.5068 |
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- | No log | 1.0 | 6 | 0.7072 | 0.0 | 0.7085 |
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- | No log | 1.3333 | 8 | 0.5919 | 0.0 | 0.5727 |
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- | No log | 1.6667 | 10 | 0.7019 | 0.0 | 0.6799 |
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- | No log | 2.0 | 12 | 0.4359 | 0.2329 | 0.4303 |
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- | No log | 2.3333 | 14 | 0.4598 | 0.1250 | 0.4561 |
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- | No log | 2.6667 | 16 | 0.4071 | 0.5145 | 0.3971 |
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- | No log | 3.0 | 18 | 0.5588 | 0.1732 | 0.5418 |
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- | No log | 3.3333 | 20 | 0.6199 | 0.1732 | 0.6015 |
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- | No log | 3.6667 | 22 | 0.4817 | 0.4400 | 0.4688 |
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- | No log | 4.0 | 24 | 0.3891 | 0.2959 | 0.3830 |
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- | No log | 4.3333 | 26 | 0.4411 | 0.1777 | 0.4351 |
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- | No log | 4.6667 | 28 | 0.4012 | 0.3959 | 0.3959 |
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- | No log | 5.0 | 30 | 0.4347 | 0.4765 | 0.4291 |
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- | No log | 5.3333 | 32 | 0.6742 | 0.4970 | 0.6581 |
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- | No log | 5.6667 | 34 | 0.7767 | 0.5273 | 0.7561 |
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- | No log | 6.0 | 36 | 0.7418 | 0.5836 | 0.7250 |
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- | No log | 6.3333 | 38 | 0.6070 | 0.4706 | 0.5993 |
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- | No log | 6.6667 | 40 | 0.4832 | 0.5714 | 0.4805 |
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- | No log | 7.0 | 42 | 0.4590 | 0.6196 | 0.4554 |
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- | No log | 7.3333 | 44 | 0.4604 | 0.6196 | 0.4573 |
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- | No log | 7.6667 | 46 | 0.4911 | 0.5714 | 0.4888 |
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- | No log | 8.0 | 48 | 0.5594 | 0.4415 | 0.5549 |
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- | No log | 8.3333 | 50 | 0.5973 | 0.5215 | 0.5910 |
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- | No log | 8.6667 | 52 | 0.5945 | 0.4415 | 0.5886 |
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- | No log | 9.0 | 54 | 0.5659 | 0.4415 | 0.5617 |
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- | No log | 9.3333 | 56 | 0.5343 | 0.5215 | 0.5317 |
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- | No log | 9.6667 | 58 | 0.5134 | 0.4976 | 0.5116 |
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- | No log | 10.0 | 60 | 0.5031 | 0.5714 | 0.5016 |
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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_vocabulary_task3_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_vocabulary_task3_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: 0.7079
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+ - Qwk: 0.0222
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+ - Mse: 0.6865
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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 | 0.6667 | 2 | 4.5600 | -0.0382 | 4.4780 |
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+ | No log | 1.3333 | 4 | 1.9301 | -0.1611 | 1.8653 |
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+ | No log | 2.0 | 6 | 1.6014 | -0.1987 | 1.5679 |
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+ | No log | 2.6667 | 8 | 0.9403 | 0.0222 | 0.9126 |
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+ | No log | 3.3333 | 10 | 0.9340 | 0.0222 | 0.9239 |
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+ | No log | 4.0 | 12 | 1.2406 | 0.1895 | 1.2359 |
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+ | No log | 4.6667 | 14 | 0.7820 | 0.0222 | 0.7685 |
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+ | No log | 5.3333 | 16 | 0.6609 | -0.0476 | 0.6329 |
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+ | No log | 6.0 | 18 | 0.6633 | 0.2524 | 0.6395 |
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+ | No log | 6.6667 | 20 | 0.8454 | 0.0 | 0.8291 |
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+ | No log | 7.3333 | 22 | 0.9897 | 0.0 | 0.9771 |
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+ | No log | 8.0 | 24 | 0.9105 | 0.0 | 0.8961 |
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+ | No log | 8.6667 | 26 | 0.7687 | 0.0 | 0.7499 |
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+ | No log | 9.3333 | 28 | 0.7158 | 0.0222 | 0.6948 |
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+ | No log | 10.0 | 30 | 0.7079 | 0.0222 | 0.6865 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions