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arabert_baseline_relevance_task6_fold0

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  1. README.md +27 -37
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_task5_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_task5_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: 0.1845
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- - Qwk: 0.3789
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- - Mse: 0.1845
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  ## Model description
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@@ -45,38 +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 | 0.3333 | 2 | 0.7186 | -0.0682 | 0.7186 |
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- | No log | 0.6667 | 4 | 0.2563 | 0.0 | 0.2563 |
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- | No log | 1.0 | 6 | 0.1977 | 0.0551 | 0.1977 |
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- | No log | 1.3333 | 8 | 0.1845 | 0.2373 | 0.1845 |
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- | No log | 1.6667 | 10 | 0.1961 | 0.2361 | 0.1961 |
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- | No log | 2.0 | 12 | 0.2108 | 0.1960 | 0.2108 |
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- | No log | 2.3333 | 14 | 0.2096 | 0.2347 | 0.2096 |
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- | No log | 2.6667 | 16 | 0.2117 | 0.2814 | 0.2117 |
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- | No log | 3.0 | 18 | 0.2125 | 0.2814 | 0.2125 |
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- | No log | 3.3333 | 20 | 0.2086 | 0.3789 | 0.2086 |
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- | No log | 3.6667 | 22 | 0.2136 | 0.2547 | 0.2136 |
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- | No log | 4.0 | 24 | 0.2106 | 0.3293 | 0.2106 |
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- | No log | 4.3333 | 26 | 0.1994 | 0.3293 | 0.1994 |
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- | No log | 4.6667 | 28 | 0.1978 | 0.1477 | 0.1978 |
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- | No log | 5.0 | 30 | 0.2011 | 0.2353 | 0.2011 |
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- | No log | 5.3333 | 32 | 0.2091 | 0.2258 | 0.2091 |
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- | No log | 5.6667 | 34 | 0.2215 | 0.2763 | 0.2215 |
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- | No log | 6.0 | 36 | 0.2177 | 0.2763 | 0.2177 |
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- | No log | 6.3333 | 38 | 0.2103 | 0.2763 | 0.2103 |
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- | No log | 6.6667 | 40 | 0.1968 | 0.4304 | 0.1968 |
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- | No log | 7.0 | 42 | 0.1868 | 0.3789 | 0.1868 |
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- | No log | 7.3333 | 44 | 0.1820 | 0.3789 | 0.1820 |
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- | No log | 7.6667 | 46 | 0.1813 | 0.3789 | 0.1813 |
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- | No log | 8.0 | 48 | 0.1828 | 0.3789 | 0.1828 |
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- | No log | 8.3333 | 50 | 0.1865 | 0.3789 | 0.1865 |
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- | No log | 8.6667 | 52 | 0.1900 | 0.4304 | 0.1900 |
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- | No log | 9.0 | 54 | 0.1886 | 0.4304 | 0.1886 |
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- | No log | 9.3333 | 56 | 0.1873 | 0.3789 | 0.1873 |
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- | No log | 9.6667 | 58 | 0.1853 | 0.3789 | 0.1853 |
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- | No log | 10.0 | 60 | 0.1845 | 0.3789 | 0.1845 |
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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_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_relevance_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: 0.4526
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+ - Qwk: 0.3226
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+ - Mse: 0.4526
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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 | 0.6801 | 0.0541 | 0.6801 |
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+ | No log | 1.0 | 4 | 0.6246 | 0.1127 | 0.6246 |
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+ | No log | 1.5 | 6 | 0.5719 | 0.2222 | 0.5719 |
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+ | No log | 2.0 | 8 | 0.4467 | 0.2222 | 0.4467 |
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+ | No log | 2.5 | 10 | 0.4958 | 0.3288 | 0.4958 |
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+ | No log | 3.0 | 12 | 0.4784 | 0.4324 | 0.4784 |
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+ | No log | 3.5 | 14 | 0.4142 | 0.5116 | 0.4142 |
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+ | No log | 4.0 | 16 | 0.4299 | 0.5977 | 0.4299 |
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+ | No log | 4.5 | 18 | 0.4577 | 0.58 | 0.4577 |
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+ | No log | 5.0 | 20 | 0.4773 | 0.5664 | 0.4773 |
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+ | No log | 5.5 | 22 | 0.4936 | 0.5664 | 0.4936 |
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+ | No log | 6.0 | 24 | 0.4974 | 0.5000 | 0.4974 |
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+ | No log | 6.5 | 26 | 0.5038 | 0.5088 | 0.5038 |
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+ | No log | 7.0 | 28 | 0.5060 | 0.3937 | 0.5060 |
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+ | No log | 7.5 | 30 | 0.4888 | 0.4444 | 0.4888 |
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+ | No log | 8.0 | 32 | 0.4685 | 0.4444 | 0.4685 |
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+ | No log | 8.5 | 34 | 0.4544 | 0.3226 | 0.4544 |
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+ | No log | 9.0 | 36 | 0.4497 | 0.3226 | 0.4497 |
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+ | No log | 9.5 | 38 | 0.4507 | 0.3226 | 0.4507 |
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+ | No log | 10.0 | 40 | 0.4526 | 0.3226 | 0.4526 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions