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arabert_cross_vocabulary_task6_fold1

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  1. README.md +35 -35
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_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_cross_vocabulary_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: 0.7920
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- - Qwk: 0.5432
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- - Mse: 0.7919
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  ## Model description
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@@ -47,36 +47,36 @@ The following hyperparameters were used during training:
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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 | 3.5613 | 0.0346 | 3.5560 |
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- | No log | 0.0656 | 4 | 2.1952 | 0.1017 | 2.1902 |
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- | No log | 0.0984 | 6 | 1.5039 | 0.1862 | 1.5004 |
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- | No log | 0.1311 | 8 | 1.3393 | 0.2671 | 1.3373 |
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- | No log | 0.1639 | 10 | 1.8925 | 0.2535 | 1.8914 |
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- | No log | 0.1967 | 12 | 1.1957 | 0.3908 | 1.1952 |
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- | No log | 0.2295 | 14 | 0.6924 | 0.5648 | 0.6919 |
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- | No log | 0.2623 | 16 | 0.7305 | 0.5685 | 0.7301 |
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- | No log | 0.2951 | 18 | 0.8936 | 0.5297 | 0.8935 |
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- | No log | 0.3279 | 20 | 1.3379 | 0.4110 | 1.3384 |
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- | No log | 0.3607 | 22 | 1.3337 | 0.4094 | 1.3343 |
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- | No log | 0.3934 | 24 | 0.9456 | 0.4711 | 0.9457 |
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- | No log | 0.4262 | 26 | 0.7156 | 0.5222 | 0.7155 |
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- | No log | 0.4590 | 28 | 0.7226 | 0.5158 | 0.7225 |
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- | No log | 0.4918 | 30 | 0.8353 | 0.4710 | 0.8352 |
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- | No log | 0.5246 | 32 | 1.0175 | 0.4335 | 1.0176 |
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- | No log | 0.5574 | 34 | 1.0983 | 0.4223 | 1.0984 |
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- | No log | 0.5902 | 36 | 1.0847 | 0.4257 | 1.0848 |
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- | No log | 0.6230 | 38 | 0.9629 | 0.4534 | 0.9630 |
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- | No log | 0.6557 | 40 | 0.9060 | 0.4715 | 0.9060 |
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- | No log | 0.6885 | 42 | 0.8296 | 0.4966 | 0.8296 |
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- | No log | 0.7213 | 44 | 0.8084 | 0.5180 | 0.8083 |
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- | No log | 0.7541 | 46 | 0.8344 | 0.5130 | 0.8343 |
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- | No log | 0.7869 | 48 | 0.8968 | 0.4927 | 0.8968 |
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- | No log | 0.8197 | 50 | 0.9144 | 0.4897 | 0.9143 |
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- | No log | 0.8525 | 52 | 0.9014 | 0.4933 | 0.9014 |
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- | No log | 0.8852 | 54 | 0.8595 | 0.5177 | 0.8595 |
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- | No log | 0.9180 | 56 | 0.8289 | 0.5316 | 0.8288 |
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- | No log | 0.9508 | 58 | 0.8059 | 0.5408 | 0.8058 |
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- | No log | 0.9836 | 60 | 0.7920 | 0.5432 | 0.7919 |
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  ### Framework versions
 
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  tags:
4
  - generated_from_trainer
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  model-index:
6
+ - 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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  | 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