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arabert_baseline_style_task8_fold0

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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_development_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_development_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: 0.2965
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- - Qwk: 0.5749
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- - Mse: 0.2965
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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 | 0.9461 | 0.2857 | 0.9461 |
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- | No log | 1.0 | 4 | 0.6077 | 0.6164 | 0.6077 |
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- | No log | 1.5 | 6 | 0.4804 | 0.5646 | 0.4804 |
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- | No log | 2.0 | 8 | 1.7805 | 0.1870 | 1.7805 |
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- | No log | 2.5 | 10 | 0.8599 | 0.3772 | 0.8599 |
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- | No log | 3.0 | 12 | 0.2911 | 0.6316 | 0.2911 |
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- | No log | 3.5 | 14 | 0.2592 | 0.6316 | 0.2592 |
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- | No log | 4.0 | 16 | 0.2544 | 0.6316 | 0.2544 |
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- | No log | 4.5 | 18 | 0.2769 | 0.6316 | 0.2769 |
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- | No log | 5.0 | 20 | 0.3520 | 0.5749 | 0.3520 |
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- | No log | 5.5 | 22 | 0.4464 | 0.5556 | 0.4464 |
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- | No log | 6.0 | 24 | 0.4041 | 0.5749 | 0.4041 |
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- | No log | 6.5 | 26 | 0.3621 | 0.6719 | 0.3621 |
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- | No log | 7.0 | 28 | 0.3337 | 0.7094 | 0.3337 |
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- | No log | 7.5 | 30 | 0.2849 | 0.7094 | 0.2849 |
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- | No log | 8.0 | 32 | 0.2691 | 0.7342 | 0.2691 |
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- | No log | 8.5 | 34 | 0.2750 | 0.6719 | 0.2750 |
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- | No log | 9.0 | 36 | 0.2882 | 0.5749 | 0.2882 |
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- | No log | 9.5 | 38 | 0.2930 | 0.5749 | 0.2930 |
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- | No log | 10.0 | 40 | 0.2965 | 0.5749 | 0.2965 |
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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_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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  | 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