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arabert_baseline_style_task8_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_style_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_style_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: 0.3136
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- - Qwk: 0.7317
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- - Mse: 0.3136
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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 | 1.6518 | 0.0571 | 1.6518 |
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- | No log | 1.0 | 4 | 1.0371 | 0.4444 | 1.0371 |
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- | No log | 1.5 | 6 | 0.7388 | 0.5366 | 0.7388 |
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- | No log | 2.0 | 8 | 1.1938 | 0.36 | 1.1938 |
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- | No log | 2.5 | 10 | 0.4631 | 0.6667 | 0.4631 |
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- | No log | 3.0 | 12 | 0.2492 | 0.7179 | 0.2492 |
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- | No log | 3.5 | 14 | 0.2694 | 0.7179 | 0.2694 |
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- | No log | 4.0 | 16 | 0.4368 | 0.6341 | 0.4368 |
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- | No log | 4.5 | 18 | 0.7618 | 0.5909 | 0.7618 |
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- | No log | 5.0 | 20 | 0.6253 | 0.5909 | 0.6253 |
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- | No log | 5.5 | 22 | 0.3729 | 0.7 | 0.3729 |
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- | No log | 6.0 | 24 | 0.2843 | 0.75 | 0.2843 |
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- | No log | 6.5 | 26 | 0.3066 | 0.75 | 0.3066 |
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- | No log | 7.0 | 28 | 0.3650 | 0.7317 | 0.3650 |
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- | No log | 7.5 | 30 | 0.4196 | 0.6341 | 0.4196 |
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- | No log | 8.0 | 32 | 0.3773 | 0.6667 | 0.3773 |
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- | No log | 8.5 | 34 | 0.3197 | 0.7317 | 0.3197 |
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- | No log | 9.0 | 36 | 0.3106 | 0.7317 | 0.3106 |
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- | No log | 9.5 | 38 | 0.3073 | 0.7317 | 0.3073 |
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- | No log | 10.0 | 40 | 0.3136 | 0.7317 | 0.3136 |
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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_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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  | 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