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arabert_cross_vocabulary_task7_fold4

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  1. README.md +35 -39
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_cross_vocabulary_task7_fold3
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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_cross_vocabulary_task7_fold3
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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: 0.7581
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- - Qwk: 0.0
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- - Mse: 0.7581
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  ## Model description
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@@ -45,40 +45,36 @@ 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 | 0.0308 | 2 | 7.8306 | -0.0005 | 7.8306 |
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- | No log | 0.0615 | 4 | 4.1936 | 0.0 | 4.1936 |
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- | No log | 0.0923 | 6 | 2.0851 | 0.0593 | 2.0851 |
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- | No log | 0.1231 | 8 | 1.2404 | 0.0 | 1.2404 |
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- | No log | 0.1538 | 10 | 0.8586 | 0.0093 | 0.8586 |
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- | No log | 0.1846 | 12 | 0.7508 | 0.0707 | 0.7508 |
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- | No log | 0.2154 | 14 | 0.7356 | 0.0372 | 0.7356 |
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- | No log | 0.2462 | 16 | 0.8138 | 0.1082 | 0.8138 |
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- | No log | 0.2769 | 18 | 0.9262 | -0.0080 | 0.9262 |
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- | No log | 0.3077 | 20 | 0.8710 | -0.0045 | 0.8710 |
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- | No log | 0.3385 | 22 | 0.7502 | -0.0408 | 0.7502 |
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- | No log | 0.3692 | 24 | 0.7389 | 0.0 | 0.7389 |
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- | No log | 0.4 | 26 | 0.7855 | 0.0 | 0.7855 |
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- | No log | 0.4308 | 28 | 0.7754 | 0.0 | 0.7754 |
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- | No log | 0.4615 | 30 | 0.7485 | 0.0 | 0.7485 |
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- | No log | 0.4923 | 32 | 0.7451 | 0.0 | 0.7451 |
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- | No log | 0.5231 | 34 | 0.7615 | 0.0 | 0.7615 |
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- | No log | 0.5538 | 36 | 0.7804 | 0.0 | 0.7804 |
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- | No log | 0.5846 | 38 | 0.7731 | 0.0 | 0.7731 |
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- | No log | 0.6154 | 40 | 0.7812 | 0.0 | 0.7812 |
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- | No log | 0.6462 | 42 | 0.8026 | 0.0 | 0.8026 |
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- | No log | 0.6769 | 44 | 0.8454 | 0.0 | 0.8454 |
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- | No log | 0.7077 | 46 | 0.8541 | 0.0 | 0.8541 |
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- | No log | 0.7385 | 48 | 0.8250 | 0.0 | 0.8250 |
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- | No log | 0.7692 | 50 | 0.8021 | 0.0 | 0.8021 |
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- | No log | 0.8 | 52 | 0.7828 | 0.0 | 0.7828 |
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- | No log | 0.8308 | 54 | 0.7701 | 0.0 | 0.7701 |
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- | No log | 0.8615 | 56 | 0.7633 | 0.0 | 0.7633 |
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- | No log | 0.8923 | 58 | 0.7561 | 0.0 | 0.7561 |
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- | No log | 0.9231 | 60 | 0.7554 | 0.0 | 0.7554 |
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- | No log | 0.9538 | 62 | 0.7563 | 0.0 | 0.7563 |
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- | No log | 0.9846 | 64 | 0.7581 | 0.0 | 0.7581 |
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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_cross_vocabulary_task7_fold4
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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_cross_vocabulary_task7_fold4
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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: 0.9341
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+ - Qwk: 0.8036
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+ - Mse: 0.9341
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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 | 0.0351 | 2 | 3.7363 | 0.0136 | 3.7363 |
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+ | No log | 0.0702 | 4 | 2.3106 | 0.1619 | 2.3106 |
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+ | No log | 0.1053 | 6 | 1.8172 | 0.1692 | 1.8172 |
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+ | No log | 0.1404 | 8 | 1.6116 | 0.2787 | 1.6116 |
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+ | No log | 0.1754 | 10 | 1.8910 | 0.3258 | 1.8910 |
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+ | No log | 0.2105 | 12 | 1.8785 | 0.4430 | 1.8785 |
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+ | No log | 0.2456 | 14 | 1.8131 | 0.4299 | 1.8131 |
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+ | No log | 0.2807 | 16 | 2.0288 | 0.5063 | 2.0288 |
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+ | No log | 0.3158 | 18 | 1.6252 | 0.5783 | 1.6252 |
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+ | No log | 0.3509 | 20 | 1.4668 | 0.6465 | 1.4668 |
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+ | No log | 0.3860 | 22 | 1.1133 | 0.6929 | 1.1133 |
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+ | No log | 0.4211 | 24 | 0.8668 | 0.7249 | 0.8668 |
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+ | No log | 0.4561 | 26 | 0.9262 | 0.7457 | 0.9262 |
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+ | No log | 0.4912 | 28 | 1.0096 | 0.7462 | 1.0096 |
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+ | No log | 0.5263 | 30 | 1.0968 | 0.7380 | 1.0968 |
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+ | No log | 0.5614 | 32 | 1.1232 | 0.7473 | 1.1232 |
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+ | No log | 0.5965 | 34 | 1.1632 | 0.7453 | 1.1632 |
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+ | No log | 0.6316 | 36 | 1.1137 | 0.7662 | 1.1137 |
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+ | No log | 0.6667 | 38 | 1.0328 | 0.7794 | 1.0328 |
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+ | No log | 0.7018 | 40 | 0.8546 | 0.8110 | 0.8546 |
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+ | No log | 0.7368 | 42 | 0.7276 | 0.7840 | 0.7276 |
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+ | No log | 0.7719 | 44 | 0.6916 | 0.7793 | 0.6916 |
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+ | No log | 0.8070 | 46 | 0.7025 | 0.7855 | 0.7025 |
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+ | No log | 0.8421 | 48 | 0.7202 | 0.7971 | 0.7202 |
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+ | No log | 0.8772 | 50 | 0.7770 | 0.8095 | 0.7770 |
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+ | No log | 0.9123 | 52 | 0.8545 | 0.8154 | 0.8545 |
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+ | No log | 0.9474 | 54 | 0.9105 | 0.8088 | 0.9105 |
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+ | No log | 0.9825 | 56 | 0.9341 | 0.8036 | 0.9341 |
 
 
 
 
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  ### Framework versions