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arabert_baseline_vocabulary_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_vocabulary_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_vocabulary_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: 0.8217
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- - Qwk: 0.0
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- - Mse: 0.8217
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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 | 6.2267 | 0.0 | 6.2267 |
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- | No log | 2.0 | 4 | 4.6025 | 0.0 | 4.6025 |
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- | No log | 3.0 | 6 | 3.6163 | -0.0400 | 3.6163 |
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- | No log | 4.0 | 8 | 2.7005 | 0.0 | 2.7005 |
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- | No log | 5.0 | 10 | 1.7780 | 0.0 | 1.7780 |
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- | No log | 6.0 | 12 | 1.3775 | -0.0204 | 1.3775 |
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- | No log | 7.0 | 14 | 1.0431 | 0.0 | 1.0431 |
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- | No log | 8.0 | 16 | 0.9049 | 0.0 | 0.9049 |
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- | No log | 9.0 | 18 | 0.8294 | 0.0 | 0.8294 |
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- | No log | 10.0 | 20 | 0.8217 | 0.0 | 0.8217 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_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_vocabulary_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: 0.8715
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+ - Qwk: 0.6491
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+ - Mse: 0.8715
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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 | 2.2168 | 0.1714 | 2.2168 |
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+ | No log | 0.6667 | 4 | 2.0041 | 0.0 | 2.0041 |
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+ | No log | 1.0 | 6 | 1.8058 | 0.0 | 1.8058 |
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+ | No log | 1.3333 | 8 | 1.6307 | 0.0 | 1.6307 |
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+ | No log | 1.6667 | 10 | 1.5228 | 0.1055 | 1.5228 |
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+ | No log | 2.0 | 12 | 1.4956 | 0.1325 | 1.4956 |
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+ | No log | 2.3333 | 14 | 1.4414 | 0.1842 | 1.4414 |
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+ | No log | 2.6667 | 16 | 1.3583 | 0.3623 | 1.3583 |
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+ | No log | 3.0 | 18 | 1.2822 | 0.4602 | 1.2822 |
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+ | No log | 3.3333 | 20 | 1.2058 | 0.4783 | 1.2058 |
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+ | No log | 3.6667 | 22 | 1.1388 | 0.5430 | 1.1388 |
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+ | No log | 4.0 | 24 | 1.0848 | 0.5778 | 1.0848 |
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+ | No log | 4.3333 | 26 | 1.0520 | 0.5161 | 1.0520 |
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+ | No log | 4.6667 | 28 | 1.0213 | 0.5161 | 1.0213 |
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+ | No log | 5.0 | 30 | 0.9946 | 0.4866 | 0.9946 |
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+ | No log | 5.3333 | 32 | 0.9759 | 0.5368 | 0.9759 |
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+ | No log | 5.6667 | 34 | 0.9511 | 0.5368 | 0.9511 |
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+ | No log | 6.0 | 36 | 0.9260 | 0.5662 | 0.9260 |
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+ | No log | 6.3333 | 38 | 0.9142 | 0.5662 | 0.9142 |
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+ | No log | 6.6667 | 40 | 0.8995 | 0.5662 | 0.8995 |
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+ | No log | 7.0 | 42 | 0.9024 | 0.5940 | 0.9024 |
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+ | No log | 7.3333 | 44 | 0.9102 | 0.5368 | 0.9102 |
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+ | No log | 7.6667 | 46 | 0.9036 | 0.6258 | 0.9036 |
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+ | No log | 8.0 | 48 | 0.8943 | 0.6304 | 0.8943 |
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+ | No log | 8.3333 | 50 | 0.8872 | 0.6042 | 0.8872 |
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+ | No log | 8.6667 | 52 | 0.8828 | 0.6042 | 0.8828 |
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+ | No log | 9.0 | 54 | 0.8785 | 0.6491 | 0.8785 |
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+ | No log | 9.3333 | 56 | 0.8747 | 0.6491 | 0.8747 |
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+ | No log | 9.6667 | 58 | 0.8725 | 0.6491 | 0.8725 |
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+ | No log | 10.0 | 60 | 0.8715 | 0.6491 | 0.8715 |
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  ### Framework versions