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arabert_baseline_relevance_task8_fold1

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  1. README.md +27 -27
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_relevance_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_relevance_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: 0.1603
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- - Qwk: 0.0
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- - Mse: 0.1603
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  ## Model description
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@@ -45,28 +45,28 @@ 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 | 0.5 | 2 | 0.8396 | 0.0628 | 0.8396 |
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- | No log | 1.0 | 4 | 0.0941 | 0.0870 | 0.0941 |
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- | No log | 1.5 | 6 | 0.1025 | 0.0 | 0.1025 |
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- | No log | 2.0 | 8 | 0.1788 | 0.0 | 0.1788 |
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- | No log | 2.5 | 10 | 0.2166 | 0.1158 | 0.2166 |
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- | No log | 3.0 | 12 | 0.3700 | 0.2013 | 0.3700 |
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- | No log | 3.5 | 14 | 0.3262 | 0.2519 | 0.3262 |
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- | No log | 4.0 | 16 | 0.1386 | 0.2519 | 0.1386 |
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- | No log | 4.5 | 18 | 0.1148 | 0.0 | 0.1148 |
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- | No log | 5.0 | 20 | 0.1624 | 0.0 | 0.1624 |
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- | No log | 5.5 | 22 | 0.1332 | 0.0 | 0.1332 |
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- | No log | 6.0 | 24 | 0.1031 | 0.0411 | 0.1031 |
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- | No log | 6.5 | 26 | 0.1199 | 0.0 | 0.1199 |
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- | No log | 7.0 | 28 | 0.1398 | 0.0 | 0.1398 |
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- | No log | 7.5 | 30 | 0.1573 | 0.0 | 0.1573 |
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- | No log | 8.0 | 32 | 0.1592 | 0.1158 | 0.1592 |
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- | No log | 8.5 | 34 | 0.1587 | 0.1158 | 0.1587 |
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- | No log | 9.0 | 36 | 0.1588 | 0.0 | 0.1588 |
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- | No log | 9.5 | 38 | 0.1591 | 0.0 | 0.1591 |
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- | No log | 10.0 | 40 | 0.1603 | 0.0 | 0.1603 |
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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_relevance_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_relevance_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: 0.2901
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+ - Qwk: 0.4096
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+ - Mse: 0.2901
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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 | 0.5 | 2 | 0.6071 | -0.1667 | 0.6071 |
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+ | No log | 1.0 | 4 | 0.6292 | -0.0548 | 0.6292 |
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+ | No log | 1.5 | 6 | 0.5112 | 0.3467 | 0.5112 |
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+ | No log | 2.0 | 8 | 0.2941 | 0.2000 | 0.2941 |
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+ | No log | 2.5 | 10 | 0.2595 | 0.3171 | 0.2595 |
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+ | No log | 3.0 | 12 | 0.3011 | 0.3171 | 0.3011 |
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+ | No log | 3.5 | 14 | 0.2934 | 0.3171 | 0.2934 |
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+ | No log | 4.0 | 16 | 0.2489 | 0.3171 | 0.2489 |
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+ | No log | 4.5 | 18 | 0.2716 | 0.4096 | 0.2716 |
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+ | No log | 5.0 | 20 | 0.3200 | 0.3099 | 0.3200 |
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+ | No log | 5.5 | 22 | 0.3416 | 0.2000 | 0.3416 |
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+ | No log | 6.0 | 24 | 0.3237 | 0.4096 | 0.3237 |
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+ | No log | 6.5 | 26 | 0.2949 | 0.4096 | 0.2949 |
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+ | No log | 7.0 | 28 | 0.2821 | 0.4096 | 0.2821 |
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+ | No log | 7.5 | 30 | 0.2766 | 0.4096 | 0.2766 |
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+ | No log | 8.0 | 32 | 0.2780 | 0.4096 | 0.2780 |
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+ | No log | 8.5 | 34 | 0.2807 | 0.4096 | 0.2807 |
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+ | No log | 9.0 | 36 | 0.2841 | 0.4096 | 0.2841 |
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+ | No log | 9.5 | 38 | 0.2889 | 0.4096 | 0.2889 |
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+ | No log | 10.0 | 40 | 0.2901 | 0.4096 | 0.2901 |
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  ### Framework versions