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arabert_baseline_development_task6_fold0

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  1. README.md +27 -37
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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_development_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_development_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: 0.5703
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- - Qwk: 0.7312
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- - Mse: 0.5703
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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 | 2.7370 | -0.0412 | 2.7370 |
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- | No log | 0.6667 | 4 | 1.1106 | 0.0254 | 1.1106 |
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- | No log | 1.0 | 6 | 0.8018 | 0.3448 | 0.8018 |
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- | No log | 1.3333 | 8 | 0.7112 | 0.4203 | 0.7112 |
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- | No log | 1.6667 | 10 | 0.7153 | 0.2778 | 0.7153 |
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- | No log | 2.0 | 12 | 0.6181 | 0.3333 | 0.6181 |
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- | No log | 2.3333 | 14 | 0.5263 | 0.4379 | 0.5263 |
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- | No log | 2.6667 | 16 | 0.5056 | 0.4444 | 0.5056 |
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- | No log | 3.0 | 18 | 0.4721 | 0.4318 | 0.4721 |
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- | No log | 3.3333 | 20 | 0.4560 | 0.5251 | 0.4560 |
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- | No log | 3.6667 | 22 | 0.4550 | 0.5506 | 0.4550 |
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- | No log | 4.0 | 24 | 0.5190 | 0.7399 | 0.5190 |
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- | No log | 4.3333 | 26 | 0.5822 | 0.7568 | 0.5822 |
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- | No log | 4.6667 | 28 | 0.5363 | 0.6328 | 0.5363 |
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- | No log | 5.0 | 30 | 0.5203 | 0.4382 | 0.5203 |
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- | No log | 5.3333 | 32 | 0.5859 | 0.4388 | 0.5859 |
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- | No log | 5.6667 | 34 | 0.5248 | 0.3956 | 0.5248 |
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- | No log | 6.0 | 36 | 0.5042 | 0.5977 | 0.5042 |
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- | No log | 6.3333 | 38 | 0.5446 | 0.6667 | 0.5446 |
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- | No log | 6.6667 | 40 | 0.5984 | 0.7312 | 0.5984 |
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- | No log | 7.0 | 42 | 0.6002 | 0.7312 | 0.6002 |
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- | No log | 7.3333 | 44 | 0.5662 | 0.7312 | 0.5662 |
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- | No log | 7.6667 | 46 | 0.5376 | 0.6667 | 0.5376 |
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- | No log | 8.0 | 48 | 0.5417 | 0.6667 | 0.5417 |
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- | No log | 8.3333 | 50 | 0.5612 | 0.7312 | 0.5612 |
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- | No log | 8.6667 | 52 | 0.5739 | 0.7312 | 0.5739 |
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- | No log | 9.0 | 54 | 0.5740 | 0.7312 | 0.5740 |
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- | No log | 9.3333 | 56 | 0.5707 | 0.7312 | 0.5707 |
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- | No log | 9.6667 | 58 | 0.5714 | 0.7312 | 0.5714 |
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- | No log | 10.0 | 60 | 0.5703 | 0.7312 | 0.5703 |
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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_development_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_development_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: 0.7890
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+ - Qwk: 0.4503
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+ - Mse: 0.7890
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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 | 1.5011 | 0.2195 | 1.5011 |
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+ | No log | 1.0 | 4 | 1.0235 | 0.3558 | 1.0235 |
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+ | No log | 1.5 | 6 | 1.1605 | 0.3913 | 1.1605 |
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+ | No log | 2.0 | 8 | 1.0269 | 0.3558 | 1.0269 |
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+ | No log | 2.5 | 10 | 0.9070 | 0.3558 | 0.9070 |
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+ | No log | 3.0 | 12 | 0.8423 | 0.3913 | 0.8423 |
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+ | No log | 3.5 | 14 | 0.7993 | 0.3558 | 0.7993 |
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+ | No log | 4.0 | 16 | 0.7964 | 0.4740 | 0.7964 |
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+ | No log | 4.5 | 18 | 0.8073 | 0.4740 | 0.8073 |
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+ | No log | 5.0 | 20 | 0.8740 | 0.6091 | 0.8740 |
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+ | No log | 5.5 | 22 | 0.8159 | 0.6056 | 0.8159 |
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+ | No log | 6.0 | 24 | 0.8260 | 0.6056 | 0.8260 |
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+ | No log | 6.5 | 26 | 0.8604 | 0.6056 | 0.8604 |
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+ | No log | 7.0 | 28 | 0.8853 | 0.6056 | 0.8853 |
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+ | No log | 7.5 | 30 | 0.8139 | 0.5172 | 0.8139 |
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+ | No log | 8.0 | 32 | 0.7491 | 0.4503 | 0.7491 |
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+ | No log | 8.5 | 34 | 0.7564 | 0.4503 | 0.7564 |
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+ | No log | 9.0 | 36 | 0.7842 | 0.4503 | 0.7842 |
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+ | No log | 9.5 | 38 | 0.7831 | 0.4503 | 0.7831 |
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+ | No log | 10.0 | 40 | 0.7890 | 0.4503 | 0.7890 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions