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arabert_baseline_vocabulary_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_vocabulary_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_vocabulary_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: 0.5505
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- - Qwk: 0.6767
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- - Mse: 0.5505
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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 | 3.3545 | 0.0255 | 3.3545 |
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- | No log | 0.6667 | 4 | 1.6087 | 0.0 | 1.6087 |
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- | No log | 1.0 | 6 | 0.8536 | 0.2689 | 0.8536 |
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- | No log | 1.3333 | 8 | 0.7544 | 0.2289 | 0.7544 |
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- | No log | 1.6667 | 10 | 0.6504 | 0.2689 | 0.6504 |
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- | No log | 2.0 | 12 | 0.5598 | 0.3623 | 0.5598 |
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- | No log | 2.3333 | 14 | 0.5291 | 0.3623 | 0.5291 |
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- | No log | 2.6667 | 16 | 0.6356 | 0.4179 | 0.6356 |
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- | No log | 3.0 | 18 | 0.8795 | 0.2857 | 0.8795 |
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- | No log | 3.3333 | 20 | 0.7838 | 0.4434 | 0.7838 |
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- | No log | 3.6667 | 22 | 0.5344 | 0.6809 | 0.5344 |
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- | No log | 4.0 | 24 | 0.5107 | 0.6822 | 0.5107 |
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- | No log | 4.3333 | 26 | 0.5455 | 0.6822 | 0.5455 |
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- | No log | 4.6667 | 28 | 0.5959 | 0.6822 | 0.5959 |
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- | No log | 5.0 | 30 | 0.6155 | 0.6091 | 0.6155 |
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- | No log | 5.3333 | 32 | 0.5993 | 0.6146 | 0.5993 |
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- | No log | 5.6667 | 34 | 0.6037 | 0.7028 | 0.6037 |
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- | No log | 6.0 | 36 | 0.6613 | 0.6767 | 0.6613 |
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- | No log | 6.3333 | 38 | 0.6632 | 0.7005 | 0.6632 |
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- | No log | 6.6667 | 40 | 0.6185 | 0.6822 | 0.6185 |
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- | No log | 7.0 | 42 | 0.5683 | 0.7028 | 0.5683 |
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- | No log | 7.3333 | 44 | 0.5821 | 0.6040 | 0.5821 |
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- | No log | 7.6667 | 46 | 0.5844 | 0.6040 | 0.5844 |
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- | No log | 8.0 | 48 | 0.5500 | 0.6844 | 0.5500 |
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- | No log | 8.3333 | 50 | 0.5326 | 0.7028 | 0.5326 |
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- | No log | 8.6667 | 52 | 0.5428 | 0.6767 | 0.5428 |
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- | No log | 9.0 | 54 | 0.5510 | 0.6767 | 0.5510 |
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- | No log | 9.3333 | 56 | 0.5525 | 0.6767 | 0.5525 |
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- | No log | 9.6667 | 58 | 0.5510 | 0.6767 | 0.5510 |
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- | No log | 10.0 | 60 | 0.5505 | 0.6767 | 0.5505 |
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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_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_vocabulary_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: 0.6726
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+ - Qwk: 0.5254
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+ - Mse: 0.6726
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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 | 2.0038 | 0.1716 | 2.0038 |
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+ | No log | 1.0 | 4 | 1.1639 | 0.2784 | 1.1639 |
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+ | No log | 1.5 | 6 | 1.1803 | 0.3913 | 1.1803 |
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+ | No log | 2.0 | 8 | 1.1071 | 0.3913 | 1.1071 |
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+ | No log | 2.5 | 10 | 0.9655 | 0.3704 | 0.9655 |
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+ | No log | 3.0 | 12 | 0.8333 | 0.3913 | 0.8333 |
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+ | No log | 3.5 | 14 | 0.7862 | 0.5842 | 0.7862 |
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+ | No log | 4.0 | 16 | 0.8551 | 0.7177 | 0.8551 |
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+ | No log | 4.5 | 18 | 0.8190 | 0.7287 | 0.8190 |
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+ | No log | 5.0 | 20 | 0.7070 | 0.6667 | 0.7070 |
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+ | No log | 5.5 | 22 | 0.7251 | 0.5776 | 0.7251 |
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+ | No log | 6.0 | 24 | 0.6939 | 0.6667 | 0.6939 |
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+ | No log | 6.5 | 26 | 0.6876 | 0.7083 | 0.6876 |
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+ | No log | 7.0 | 28 | 0.7065 | 0.7829 | 0.7065 |
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+ | No log | 7.5 | 30 | 0.7210 | 0.7829 | 0.7210 |
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+ | No log | 8.0 | 32 | 0.6907 | 0.7470 | 0.6907 |
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+ | No log | 8.5 | 34 | 0.6729 | 0.7083 | 0.6729 |
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+ | No log | 9.0 | 36 | 0.6723 | 0.7083 | 0.6723 |
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+ | No log | 9.5 | 38 | 0.6740 | 0.5254 | 0.6740 |
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+ | No log | 10.0 | 40 | 0.6726 | 0.5254 | 0.6726 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions