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arabert_baseline_vocabulary_task6_fold1

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  1. README.md +25 -25
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_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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@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
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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
 
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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_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_task6_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: 0.4086
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+ - Qwk: 0.7322
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+ - Mse: 0.4086
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  ## Model description
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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 | 1.1281 | 0.0558 | 1.1281 |
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+ | No log | 1.0 | 4 | 0.6605 | 0.4309 | 0.6605 |
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+ | No log | 1.5 | 6 | 0.8109 | 0.4615 | 0.8109 |
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+ | No log | 2.0 | 8 | 0.8404 | 0.3450 | 0.8404 |
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+ | No log | 2.5 | 10 | 0.7598 | 0.3277 | 0.7598 |
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+ | No log | 3.0 | 12 | 0.4728 | 0.4717 | 0.4728 |
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+ | No log | 3.5 | 14 | 0.4115 | 0.5238 | 0.4115 |
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+ | No log | 4.0 | 16 | 0.4736 | 0.7219 | 0.4736 |
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+ | No log | 4.5 | 18 | 0.4966 | 0.7135 | 0.4966 |
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+ | No log | 5.0 | 20 | 0.4737 | 0.6595 | 0.4737 |
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+ | No log | 5.5 | 22 | 0.4965 | 0.6595 | 0.4965 |
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+ | No log | 6.0 | 24 | 0.4565 | 0.7068 | 0.4565 |
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+ | No log | 6.5 | 26 | 0.5170 | 0.6595 | 0.5170 |
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+ | No log | 7.0 | 28 | 0.4977 | 0.6595 | 0.4977 |
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+ | No log | 7.5 | 30 | 0.4286 | 0.7322 | 0.4286 |
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+ | No log | 8.0 | 32 | 0.3945 | 0.7778 | 0.3945 |
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+ | No log | 8.5 | 34 | 0.3857 | 0.7778 | 0.3857 |
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+ | No log | 9.0 | 36 | 0.3903 | 0.7778 | 0.3903 |
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+ | No log | 9.5 | 38 | 0.4015 | 0.7778 | 0.4015 |
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+ | No log | 10.0 | 40 | 0.4086 | 0.7322 | 0.4086 |
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  ### Framework versions