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arabert_baseline_organization_task6_fold0

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  1. README.md +27 -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_organization_task5_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_task5_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: 0.8569
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- - Qwk: 0.4778
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- - Mse: 0.8569
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  ## Model description
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@@ -45,38 +45,28 @@ 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 | 2.4863 | -0.0641 | 2.4863 |
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- | No log | 0.6667 | 4 | 1.3863 | 0.0 | 1.3863 |
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- | No log | 1.0 | 6 | 1.0547 | 0.1389 | 1.0547 |
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- | No log | 1.3333 | 8 | 1.0296 | 0.2049 | 1.0296 |
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- | No log | 1.6667 | 10 | 0.9224 | 0.2049 | 0.9224 |
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- | No log | 2.0 | 12 | 0.8332 | 0.3787 | 0.8332 |
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- | No log | 2.3333 | 14 | 0.8196 | 0.2895 | 0.8196 |
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- | No log | 2.6667 | 16 | 0.8152 | 0.2895 | 0.8152 |
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- | No log | 3.0 | 18 | 0.8909 | 0.2895 | 0.8909 |
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- | No log | 3.3333 | 20 | 0.9518 | 0.2736 | 0.9518 |
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- | No log | 3.6667 | 22 | 0.8848 | 0.2895 | 0.8848 |
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- | No log | 4.0 | 24 | 0.9478 | 0.4663 | 0.9478 |
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- | No log | 4.3333 | 26 | 1.0547 | 0.3316 | 1.0547 |
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- | No log | 4.6667 | 28 | 1.0817 | 0.3516 | 1.0817 |
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- | No log | 5.0 | 30 | 1.0055 | 0.4643 | 1.0055 |
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- | No log | 5.3333 | 32 | 0.8978 | 0.5068 | 0.8978 |
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- | No log | 5.6667 | 34 | 0.8372 | 0.5479 | 0.8372 |
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- | No log | 6.0 | 36 | 0.8407 | 0.5455 | 0.8407 |
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- | No log | 6.3333 | 38 | 0.9061 | 0.4778 | 0.9061 |
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- | No log | 6.6667 | 40 | 0.9725 | 0.4643 | 0.9725 |
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- | No log | 7.0 | 42 | 0.9463 | 0.4778 | 0.9463 |
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- | No log | 7.3333 | 44 | 0.8661 | 0.5455 | 0.8661 |
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- | No log | 7.6667 | 46 | 0.8220 | 0.5844 | 0.8220 |
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- | No log | 8.0 | 48 | 0.8110 | 0.5844 | 0.8110 |
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- | No log | 8.3333 | 50 | 0.8224 | 0.5844 | 0.8224 |
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- | No log | 8.6667 | 52 | 0.8540 | 0.4778 | 0.8540 |
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- | No log | 9.0 | 54 | 0.8631 | 0.4778 | 0.8631 |
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- | No log | 9.3333 | 56 | 0.8567 | 0.4778 | 0.8567 |
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- | No log | 9.6667 | 58 | 0.8579 | 0.4778 | 0.8579 |
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- | No log | 10.0 | 60 | 0.8569 | 0.4778 | 0.8569 |
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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_task6_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_task6_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: 1.0773
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+ - Qwk: 0.5845
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+ - Mse: 1.0773
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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 | 0.5 | 2 | 1.6373 | 0.1538 | 1.6373 |
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+ | No log | 1.0 | 4 | 1.2460 | 0.2222 | 1.2460 |
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+ | No log | 1.5 | 6 | 1.5431 | 0.3000 | 1.5431 |
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+ | No log | 2.0 | 8 | 1.3210 | 0.2609 | 1.3210 |
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+ | No log | 2.5 | 10 | 1.0985 | 0.2222 | 1.0985 |
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+ | No log | 3.0 | 12 | 1.2241 | 0.3000 | 1.2241 |
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+ | No log | 3.5 | 14 | 1.5282 | 0.4020 | 1.5282 |
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+ | No log | 4.0 | 16 | 1.3965 | 0.5427 | 1.3965 |
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+ | No log | 4.5 | 18 | 1.0605 | 0.3636 | 1.0605 |
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+ | No log | 5.0 | 20 | 1.0157 | 0.3438 | 1.0157 |
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+ | No log | 5.5 | 22 | 1.1775 | 0.6379 | 1.1775 |
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+ | No log | 6.0 | 24 | 1.3717 | 0.6638 | 1.3717 |
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+ | No log | 6.5 | 26 | 1.3937 | 0.6638 | 1.3937 |
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+ | No log | 7.0 | 28 | 1.2725 | 0.6667 | 1.2725 |
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+ | No log | 7.5 | 30 | 1.1808 | 0.6379 | 1.1808 |
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+ | No log | 8.0 | 32 | 1.1076 | 0.4615 | 1.1076 |
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+ | No log | 8.5 | 34 | 1.0719 | 0.4615 | 1.0719 |
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+ | No log | 9.0 | 36 | 1.0706 | 0.5845 | 1.0706 |
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+ | No log | 9.5 | 38 | 1.0719 | 0.5845 | 1.0719 |
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+ | No log | 10.0 | 40 | 1.0773 | 0.5845 | 1.0773 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions