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End of training

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  1. README.md +25 -25
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@@ -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_style_task8_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_style_task8_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: 0.3875
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- - Qwk: 0.7083
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- - Mse: 0.3875
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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 | 1.0660 | 0.2857 | 1.0660 |
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- | No log | 1.0 | 4 | 0.9800 | 0.4940 | 0.9800 |
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- | No log | 1.5 | 6 | 0.5715 | 0.5758 | 0.5715 |
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- | No log | 2.0 | 8 | 0.9494 | 0.3957 | 0.9494 |
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- | No log | 2.5 | 10 | 0.4859 | 0.6111 | 0.4859 |
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- | No log | 3.0 | 12 | 0.3914 | 0.8048 | 0.3914 |
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- | No log | 3.5 | 14 | 0.4214 | 0.7388 | 0.4214 |
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- | No log | 4.0 | 16 | 0.4551 | 0.7388 | 0.4551 |
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- | No log | 4.5 | 18 | 0.5826 | 0.7083 | 0.5826 |
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- | No log | 5.0 | 20 | 0.5851 | 0.6392 | 0.5851 |
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- | No log | 5.5 | 22 | 0.5408 | 0.7083 | 0.5408 |
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- | No log | 6.0 | 24 | 0.4212 | 0.7298 | 0.4212 |
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- | No log | 6.5 | 26 | 0.3887 | 0.8205 | 0.3887 |
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- | No log | 7.0 | 28 | 0.3697 | 0.8048 | 0.3697 |
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- | No log | 7.5 | 30 | 0.3635 | 0.8048 | 0.3635 |
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- | No log | 8.0 | 32 | 0.3627 | 0.8048 | 0.3627 |
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- | No log | 8.5 | 34 | 0.3751 | 0.7159 | 0.3751 |
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- | No log | 9.0 | 36 | 0.3889 | 0.7083 | 0.3889 |
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- | No log | 9.5 | 38 | 0.3890 | 0.7083 | 0.3890 |
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- | No log | 10.0 | 40 | 0.3875 | 0.7083 | 0.3875 |
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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_mechanics_task8_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_mechanics_task8_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: 0.4456
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+ - Qwk: 0.7094
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+ - Mse: 0.4456
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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 | 1.7489 | 0.0491 | 1.7489 |
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+ | No log | 1.0 | 4 | 1.3896 | 0.1642 | 1.3896 |
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+ | No log | 1.5 | 6 | 1.1796 | 0.3277 | 1.1796 |
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+ | No log | 2.0 | 8 | 0.9747 | 0.4703 | 0.9747 |
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+ | No log | 2.5 | 10 | 0.8441 | 0.4560 | 0.8441 |
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+ | No log | 3.0 | 12 | 0.7876 | 0.4560 | 0.7876 |
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+ | No log | 3.5 | 14 | 0.7251 | 0.5758 | 0.7251 |
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+ | No log | 4.0 | 16 | 0.6598 | 0.5919 | 0.6598 |
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+ | No log | 4.5 | 18 | 0.6220 | 0.5919 | 0.6220 |
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+ | No log | 5.0 | 20 | 0.5659 | 0.6571 | 0.5659 |
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+ | No log | 5.5 | 22 | 0.5619 | 0.5709 | 0.5619 |
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+ | No log | 6.0 | 24 | 0.5885 | 0.5056 | 0.5885 |
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+ | No log | 6.5 | 26 | 0.5705 | 0.5056 | 0.5705 |
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+ | No log | 7.0 | 28 | 0.5149 | 0.7094 | 0.5149 |
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+ | No log | 7.5 | 30 | 0.4887 | 0.7094 | 0.4887 |
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+ | No log | 8.0 | 32 | 0.4700 | 0.7094 | 0.4700 |
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+ | No log | 8.5 | 34 | 0.4603 | 0.7094 | 0.4603 |
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+ | No log | 9.0 | 36 | 0.4527 | 0.7094 | 0.4527 |
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+ | No log | 9.5 | 38 | 0.4477 | 0.7821 | 0.4477 |
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+ | No log | 10.0 | 40 | 0.4456 | 0.7094 | 0.4456 |
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  ### Framework versions