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End of training

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  1. README.md +17 -17
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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_task4_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_task4_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: 0.6503
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- - Qwk: 0.7
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- - Mse: 0.6503
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  ## Model description
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@@ -45,18 +45,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | No log | 1.0 | 2 | 3.1919 | 0.0704 | 3.1919 |
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- | No log | 2.0 | 4 | 1.3173 | 0.0303 | 1.3173 |
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- | No log | 3.0 | 6 | 0.6709 | 0.1111 | 0.6709 |
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- | No log | 4.0 | 8 | 0.7125 | 0.4839 | 0.7125 |
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- | No log | 5.0 | 10 | 0.8225 | 0.1724 | 0.8225 |
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- | No log | 6.0 | 12 | 0.7902 | 0.1724 | 0.7902 |
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- | No log | 7.0 | 14 | 0.6931 | 0.6 | 0.6931 |
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- | No log | 8.0 | 16 | 0.6270 | 0.5238 | 0.6270 |
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- | No log | 9.0 | 18 | 0.6337 | 0.6098 | 0.6337 |
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- | No log | 10.0 | 20 | 0.6503 | 0.7 | 0.6503 |
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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_task4_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_task4_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: 0.2941
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+ - Qwk: 0.4545
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+ - Mse: 0.2941
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
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+ | No log | 1.0 | 2 | 3.5794 | 0.0 | 3.5794 |
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+ | No log | 2.0 | 4 | 2.3016 | 0.0 | 2.3016 |
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+ | No log | 3.0 | 6 | 1.5677 | -0.0769 | 1.5677 |
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+ | No log | 4.0 | 8 | 0.9593 | 0.0 | 0.9593 |
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+ | No log | 5.0 | 10 | 0.4937 | 0.0 | 0.4937 |
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+ | No log | 6.0 | 12 | 0.3911 | -0.375 | 0.3911 |
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+ | No log | 7.0 | 14 | 0.3754 | 0.0 | 0.3754 |
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+ | No log | 8.0 | 16 | 0.3336 | 0.0588 | 0.3336 |
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+ | No log | 9.0 | 18 | 0.3020 | 0.4545 | 0.3020 |
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+ | No log | 10.0 | 20 | 0.2941 | 0.4545 | 0.2941 |
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  ### Framework versions