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arabert_baseline_style_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_style_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_style_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: 0.5805
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- - Qwk: 0.6441
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- - Mse: 0.5805
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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 | 1.2965 | 0.2222 | 1.2965 |
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- | No log | 1.0 | 4 | 0.8067 | 0.1439 | 0.8067 |
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- | No log | 1.5 | 6 | 0.7795 | 0.3684 | 0.7795 |
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- | No log | 2.0 | 8 | 0.7284 | 0.3684 | 0.7284 |
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- | No log | 2.5 | 10 | 0.6398 | 0.3259 | 0.6398 |
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- | No log | 3.0 | 12 | 0.6052 | 0.5926 | 0.6052 |
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- | No log | 3.5 | 14 | 0.5965 | 0.5746 | 0.5965 |
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- | No log | 4.0 | 16 | 1.0642 | 0.6351 | 1.0642 |
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- | No log | 4.5 | 18 | 1.1268 | 0.5882 | 1.1268 |
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- | No log | 5.0 | 20 | 1.0448 | 0.6351 | 1.0448 |
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- | No log | 5.5 | 22 | 0.7295 | 0.5862 | 0.7295 |
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- | No log | 6.0 | 24 | 0.5209 | 0.5193 | 0.5209 |
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- | No log | 6.5 | 26 | 0.5470 | 0.4093 | 0.5470 |
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- | No log | 7.0 | 28 | 0.4932 | 0.4936 | 0.4932 |
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- | No log | 7.5 | 30 | 0.4781 | 0.6940 | 0.4781 |
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- | No log | 8.0 | 32 | 0.5670 | 0.6441 | 0.5670 |
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- | No log | 8.5 | 34 | 0.6172 | 0.6631 | 0.6172 |
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- | No log | 9.0 | 36 | 0.6178 | 0.6631 | 0.6178 |
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- | No log | 9.5 | 38 | 0.5895 | 0.6631 | 0.5895 |
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- | No log | 10.0 | 40 | 0.5805 | 0.6441 | 0.5805 |
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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_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_style_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: 0.8646
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+ - Qwk: 0.5642
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+ - Mse: 0.8646
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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 | 1.9949 | 0.0653 | 1.9949 |
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+ | No log | 1.0 | 4 | 0.9870 | 0.4463 | 0.9870 |
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+ | No log | 1.5 | 6 | 1.0110 | 0.3212 | 1.0110 |
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+ | No log | 2.0 | 8 | 1.2493 | 0.1888 | 1.2493 |
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+ | No log | 2.5 | 10 | 1.3543 | 0.2877 | 1.3543 |
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+ | No log | 3.0 | 12 | 0.9301 | 0.3348 | 0.9301 |
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+ | No log | 3.5 | 14 | 0.8618 | 0.4615 | 0.8618 |
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+ | No log | 4.0 | 16 | 0.8638 | 0.3275 | 0.8638 |
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+ | No log | 4.5 | 18 | 0.8955 | 0.4340 | 0.8955 |
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+ | No log | 5.0 | 20 | 0.9073 | 0.5391 | 0.9073 |
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+ | No log | 5.5 | 22 | 0.8973 | 0.5817 | 0.8973 |
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+ | No log | 6.0 | 24 | 0.9007 | 0.5817 | 0.9007 |
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+ | No log | 6.5 | 26 | 0.8920 | 0.5817 | 0.8920 |
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+ | No log | 7.0 | 28 | 0.8869 | 0.5817 | 0.8869 |
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+ | No log | 7.5 | 30 | 0.8758 | 0.5817 | 0.8758 |
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+ | No log | 8.0 | 32 | 0.8811 | 0.5642 | 0.8811 |
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+ | No log | 8.5 | 34 | 0.8874 | 0.4943 | 0.8874 |
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+ | No log | 9.0 | 36 | 0.8749 | 0.5642 | 0.8749 |
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+ | No log | 9.5 | 38 | 0.8676 | 0.5642 | 0.8676 |
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+ | No log | 10.0 | 40 | 0.8646 | 0.5642 | 0.8646 |
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  ### Framework versions