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arabert_baseline_organization_task5_fold0

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  1. README.md +37 -17
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_organization_task4_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_organization_task4_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: 0.8940
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- - Qwk: 0.0
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- - Mse: 0.8940
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  ## Model description
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@@ -45,18 +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 | 1.0 | 2 | 6.5690 | 0.0 | 6.5690 |
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- | No log | 2.0 | 4 | 4.8498 | 0.0 | 4.8498 |
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- | No log | 3.0 | 6 | 3.8531 | -0.0476 | 3.8531 |
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- | No log | 4.0 | 8 | 3.0568 | 0.0 | 3.0568 |
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- | No log | 5.0 | 10 | 2.0163 | 0.0 | 2.0163 |
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- | No log | 6.0 | 12 | 1.4680 | 0.0 | 1.4680 |
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- | No log | 7.0 | 14 | 1.1864 | 0.12 | 1.1864 |
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- | No log | 8.0 | 16 | 1.0227 | 0.0 | 1.0227 |
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- | No log | 9.0 | 18 | 0.9245 | 0.0 | 0.9245 |
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- | No log | 10.0 | 20 | 0.8940 | 0.0 | 0.8940 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_organization_task5_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_organization_task5_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: 0.5797
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+ - Qwk: 0.6737
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+ - Mse: 0.5797
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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 | 1.3224 | 0.1029 | 1.3224 |
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+ | No log | 0.6667 | 4 | 1.1724 | 0.0 | 1.1724 |
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+ | No log | 1.0 | 6 | 1.0188 | 0.0 | 1.0188 |
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+ | No log | 1.3333 | 8 | 0.9367 | 0.0 | 0.9367 |
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+ | No log | 1.6667 | 10 | 0.9707 | 0.0461 | 0.9707 |
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+ | No log | 2.0 | 12 | 1.0017 | 0.0940 | 1.0017 |
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+ | No log | 2.3333 | 14 | 1.0101 | 0.3066 | 1.0101 |
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+ | No log | 2.6667 | 16 | 0.9862 | 0.2453 | 0.9862 |
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+ | No log | 3.0 | 18 | 0.9340 | 0.3962 | 0.9340 |
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+ | No log | 3.3333 | 20 | 0.8741 | 0.4096 | 0.8741 |
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+ | No log | 3.6667 | 22 | 0.8431 | 0.4403 | 0.8431 |
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+ | No log | 4.0 | 24 | 0.7909 | 0.4898 | 0.7909 |
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+ | No log | 4.3333 | 26 | 0.7355 | 0.5 | 0.7355 |
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+ | No log | 4.6667 | 28 | 0.6751 | 0.6084 | 0.6751 |
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+ | No log | 5.0 | 30 | 0.6350 | 0.5224 | 0.6350 |
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+ | No log | 5.3333 | 32 | 0.6127 | 0.5224 | 0.6127 |
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+ | No log | 5.6667 | 34 | 0.6032 | 0.5810 | 0.6032 |
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+ | No log | 6.0 | 36 | 0.5973 | 0.5810 | 0.5973 |
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+ | No log | 6.3333 | 38 | 0.5902 | 0.5810 | 0.5902 |
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+ | No log | 6.6667 | 40 | 0.5956 | 0.7043 | 0.5956 |
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+ | No log | 7.0 | 42 | 0.5976 | 0.7043 | 0.5976 |
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+ | No log | 7.3333 | 44 | 0.5970 | 0.6401 | 0.5970 |
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+ | No log | 7.6667 | 46 | 0.6061 | 0.6114 | 0.6061 |
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+ | No log | 8.0 | 48 | 0.6064 | 0.6114 | 0.6064 |
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+ | No log | 8.3333 | 50 | 0.5917 | 0.6401 | 0.5917 |
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+ | No log | 8.6667 | 52 | 0.5644 | 0.6737 | 0.5644 |
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+ | No log | 9.0 | 54 | 0.5637 | 0.6737 | 0.5637 |
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+ | No log | 9.3333 | 56 | 0.5746 | 0.6737 | 0.5746 |
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+ | No log | 9.6667 | 58 | 0.5782 | 0.6737 | 0.5782 |
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+ | No log | 10.0 | 60 | 0.5797 | 0.6737 | 0.5797 |
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  ### Framework versions