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arabert_cross_vocabulary_task6_fold2

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  1. README.md +40 -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_cross_vocabulary_task6_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_cross_vocabulary_task6_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: 0.6146
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- - Qwk: 0.4250
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- - Mse: 0.6146
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  ## Model description
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@@ -45,38 +45,41 @@ 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 | 0.0328 | 2 | 3.4679 | 0.0168 | 3.4679 |
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- | No log | 0.0656 | 4 | 1.6537 | 0.0514 | 1.6537 |
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- | No log | 0.0984 | 6 | 1.1313 | 0.1099 | 1.1313 |
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- | No log | 0.1311 | 8 | 0.9535 | 0.1805 | 0.9535 |
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- | No log | 0.1639 | 10 | 1.0794 | 0.3174 | 1.0794 |
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- | No log | 0.1967 | 12 | 0.6168 | 0.4395 | 0.6168 |
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- | No log | 0.2295 | 14 | 0.6033 | 0.4645 | 0.6033 |
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- | No log | 0.2623 | 16 | 0.6737 | 0.4499 | 0.6737 |
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- | No log | 0.2951 | 18 | 1.0668 | 0.3641 | 1.0668 |
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- | No log | 0.3279 | 20 | 1.3034 | 0.3203 | 1.3034 |
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- | No log | 0.3607 | 22 | 1.0248 | 0.3778 | 1.0248 |
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- | No log | 0.3934 | 24 | 0.6797 | 0.4447 | 0.6797 |
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- | No log | 0.4262 | 26 | 0.6365 | 0.4647 | 0.6365 |
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- | No log | 0.4590 | 28 | 0.7543 | 0.4079 | 0.7543 |
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- | No log | 0.4918 | 30 | 1.0103 | 0.3524 | 1.0103 |
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- | No log | 0.5246 | 32 | 0.8599 | 0.3860 | 0.8599 |
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- | No log | 0.5574 | 34 | 0.6772 | 0.4252 | 0.6772 |
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- | No log | 0.5902 | 36 | 0.5781 | 0.4282 | 0.5781 |
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- | No log | 0.6230 | 38 | 0.5748 | 0.4282 | 0.5748 |
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- | No log | 0.6557 | 40 | 0.6074 | 0.4195 | 0.6074 |
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- | No log | 0.6885 | 42 | 0.6402 | 0.3992 | 0.6402 |
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- | No log | 0.7213 | 44 | 0.7139 | 0.3932 | 0.7139 |
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- | No log | 0.7541 | 46 | 0.7877 | 0.3858 | 0.7877 |
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- | No log | 0.7869 | 48 | 0.7654 | 0.3896 | 0.7654 |
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- | No log | 0.8197 | 50 | 0.6949 | 0.4032 | 0.6949 |
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- | No log | 0.8525 | 52 | 0.6439 | 0.4209 | 0.6439 |
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- | No log | 0.8852 | 54 | 0.6372 | 0.4216 | 0.6372 |
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- | No log | 0.9180 | 56 | 0.6231 | 0.4191 | 0.6231 |
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- | No log | 0.9508 | 58 | 0.6184 | 0.4250 | 0.6184 |
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- | No log | 0.9836 | 60 | 0.6146 | 0.4250 | 0.6146 |
 
 
 
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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_task6_fold2
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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_task6_fold2
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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: 0.7242
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+ - Qwk: 0.0
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+ - Mse: 0.7136
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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 | 0.0299 | 2 | 3.2898 | -0.0072 | 3.3109 |
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+ | No log | 0.0597 | 4 | 1.5499 | 0.0064 | 1.5580 |
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+ | No log | 0.0896 | 6 | 0.8567 | -0.0149 | 0.8591 |
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+ | No log | 0.1194 | 8 | 0.5737 | -0.0086 | 0.5725 |
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+ | No log | 0.1493 | 10 | 0.5552 | -0.0146 | 0.5507 |
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+ | No log | 0.1791 | 12 | 0.5914 | -0.0252 | 0.5849 |
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+ | No log | 0.2090 | 14 | 0.5900 | 0.0 | 0.5831 |
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+ | No log | 0.2388 | 16 | 0.5625 | 0.0144 | 0.5568 |
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+ | No log | 0.2687 | 18 | 0.5553 | 0.0188 | 0.5497 |
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+ | No log | 0.2985 | 20 | 0.5729 | -0.0264 | 0.5693 |
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+ | No log | 0.3284 | 22 | 0.5862 | -0.0635 | 0.5833 |
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+ | No log | 0.3582 | 24 | 0.5679 | 0.0441 | 0.5643 |
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+ | No log | 0.3881 | 26 | 0.5625 | 0.0732 | 0.5588 |
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+ | No log | 0.4179 | 28 | 0.5473 | 0.0472 | 0.5424 |
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+ | No log | 0.4478 | 30 | 0.5608 | 0.0 | 0.5545 |
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+ | No log | 0.4776 | 32 | 0.6062 | 0.0 | 0.5987 |
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+ | No log | 0.5075 | 34 | 0.6492 | 0.0 | 0.6414 |
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+ | No log | 0.5373 | 36 | 0.6805 | 0.0 | 0.6725 |
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+ | No log | 0.5672 | 38 | 0.7145 | 0.0 | 0.7051 |
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+ | No log | 0.5970 | 40 | 0.7050 | 0.0 | 0.6949 |
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+ | No log | 0.6269 | 42 | 0.6899 | 0.0 | 0.6796 |
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+ | No log | 0.6567 | 44 | 0.7091 | 0.0 | 0.6986 |
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+ | No log | 0.6866 | 46 | 0.7298 | 0.0 | 0.7190 |
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+ | No log | 0.7164 | 48 | 0.7558 | 0.0 | 0.7450 |
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+ | No log | 0.7463 | 50 | 0.7596 | 0.0 | 0.7490 |
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+ | No log | 0.7761 | 52 | 0.7517 | 0.0 | 0.7414 |
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+ | No log | 0.8060 | 54 | 0.7385 | 0.0 | 0.7283 |
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+ | No log | 0.8358 | 56 | 0.7315 | 0.0 | 0.7211 |
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+ | No log | 0.8657 | 58 | 0.7354 | 0.0 | 0.7250 |
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+ | No log | 0.8955 | 60 | 0.7334 | 0.0 | 0.7229 |
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+ | No log | 0.9254 | 62 | 0.7299 | 0.0 | 0.7193 |
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+ | No log | 0.9552 | 64 | 0.7249 | 0.0 | 0.7143 |
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+ | No log | 0.9851 | 66 | 0.7242 | 0.0 | 0.7136 |
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  ### Framework versions