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arabert_cross_vocabulary_task3_fold5

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  1. README.md +36 -38
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_task3_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_task3_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: 0.4192
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- - Qwk: 0.8233
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- - Mse: 0.4192
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  ## Model description
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@@ -47,39 +47,37 @@ 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 | 0.0299 | 2 | 4.0265 | 0.0 | 4.0265 |
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- | No log | 0.0597 | 4 | 2.4108 | 0.0455 | 2.4108 |
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- | No log | 0.0896 | 6 | 1.3064 | 0.0872 | 1.3064 |
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- | No log | 0.1194 | 8 | 0.9388 | 0.4130 | 0.9388 |
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- | No log | 0.1493 | 10 | 0.9972 | 0.3780 | 0.9972 |
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- | No log | 0.1791 | 12 | 1.1007 | 0.5752 | 1.1007 |
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- | No log | 0.2090 | 14 | 1.0611 | 0.7027 | 1.0611 |
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- | No log | 0.2388 | 16 | 0.6193 | 0.7582 | 0.6193 |
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- | No log | 0.2687 | 18 | 0.4209 | 0.6963 | 0.4209 |
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- | No log | 0.2985 | 20 | 0.4578 | 0.7913 | 0.4578 |
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- | No log | 0.3284 | 22 | 0.4800 | 0.8053 | 0.4800 |
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- | No log | 0.3582 | 24 | 0.5069 | 0.8041 | 0.5069 |
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- | No log | 0.3881 | 26 | 0.4981 | 0.7915 | 0.4981 |
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- | No log | 0.4179 | 28 | 0.5835 | 0.7871 | 0.5835 |
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- | No log | 0.4478 | 30 | 0.5946 | 0.7901 | 0.5946 |
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- | No log | 0.4776 | 32 | 0.5436 | 0.8100 | 0.5436 |
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- | No log | 0.5075 | 34 | 0.3946 | 0.8230 | 0.3946 |
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- | No log | 0.5373 | 36 | 0.3388 | 0.7655 | 0.3388 |
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- | No log | 0.5672 | 38 | 0.3601 | 0.7844 | 0.3601 |
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- | No log | 0.5970 | 40 | 0.4543 | 0.8225 | 0.4543 |
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- | No log | 0.6269 | 42 | 0.5032 | 0.8298 | 0.5032 |
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- | No log | 0.6567 | 44 | 0.5322 | 0.8162 | 0.5322 |
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- | No log | 0.6866 | 46 | 0.4794 | 0.8088 | 0.4794 |
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- | No log | 0.7164 | 48 | 0.4186 | 0.7649 | 0.4186 |
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- | No log | 0.7463 | 50 | 0.3706 | 0.7631 | 0.3706 |
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- | No log | 0.7761 | 52 | 0.3514 | 0.7600 | 0.3514 |
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- | No log | 0.8060 | 54 | 0.3463 | 0.7632 | 0.3463 |
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- | No log | 0.8358 | 56 | 0.3582 | 0.7921 | 0.3582 |
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- | No log | 0.8657 | 58 | 0.3851 | 0.8300 | 0.3851 |
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- | No log | 0.8955 | 60 | 0.3925 | 0.8314 | 0.3925 |
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- | No log | 0.9254 | 62 | 0.4042 | 0.8280 | 0.4042 |
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- | No log | 0.9552 | 64 | 0.4190 | 0.8257 | 0.4190 |
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- | No log | 0.9851 | 66 | 0.4192 | 0.8233 | 0.4192 |
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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_task3_fold5
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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_task3_fold5
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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: 0.5424
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+ - Qwk: 0.8451
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+ - Mse: 0.5424
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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 | 0.0317 | 2 | 2.5435 | 0.0266 | 2.5435 |
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+ | No log | 0.0635 | 4 | 1.8405 | 0.0779 | 1.8405 |
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+ | No log | 0.0952 | 6 | 1.1417 | 0.3446 | 1.1417 |
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+ | No log | 0.1270 | 8 | 1.3024 | 0.3139 | 1.3024 |
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+ | No log | 0.1587 | 10 | 1.4661 | 0.4195 | 1.4661 |
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+ | No log | 0.1905 | 12 | 1.4593 | 0.5454 | 1.4593 |
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+ | No log | 0.2222 | 14 | 1.0707 | 0.6205 | 1.0707 |
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+ | No log | 0.2540 | 16 | 0.8275 | 0.7241 | 0.8275 |
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+ | No log | 0.2857 | 18 | 0.7219 | 0.7795 | 0.7219 |
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+ | No log | 0.3175 | 20 | 0.6521 | 0.7938 | 0.6521 |
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+ | No log | 0.3492 | 22 | 0.6278 | 0.8032 | 0.6278 |
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+ | No log | 0.3810 | 24 | 0.6249 | 0.8114 | 0.6249 |
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+ | No log | 0.4127 | 26 | 0.6081 | 0.8169 | 0.6081 |
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+ | No log | 0.4444 | 28 | 0.6712 | 0.8158 | 0.6712 |
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+ | No log | 0.4762 | 30 | 0.6982 | 0.8160 | 0.6982 |
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+ | No log | 0.5079 | 32 | 0.5559 | 0.8283 | 0.5559 |
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+ | No log | 0.5397 | 34 | 0.4227 | 0.7642 | 0.4227 |
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+ | No log | 0.5714 | 36 | 0.4112 | 0.7538 | 0.4112 |
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+ | No log | 0.6032 | 38 | 0.3988 | 0.7554 | 0.3988 |
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+ | No log | 0.6349 | 40 | 0.3927 | 0.7690 | 0.3927 |
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+ | No log | 0.6667 | 42 | 0.3945 | 0.7457 | 0.3945 |
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+ | No log | 0.6984 | 44 | 0.4001 | 0.7010 | 0.4001 |
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+ | No log | 0.7302 | 46 | 0.4142 | 0.6805 | 0.4142 |
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+ | No log | 0.7619 | 48 | 0.4142 | 0.6989 | 0.4142 |
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+ | No log | 0.7937 | 50 | 0.4157 | 0.7460 | 0.4157 |
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+ | No log | 0.8254 | 52 | 0.4406 | 0.7973 | 0.4406 |
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+ | No log | 0.8571 | 54 | 0.4698 | 0.7995 | 0.4698 |
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+ | No log | 0.8889 | 56 | 0.5044 | 0.8216 | 0.5044 |
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+ | No log | 0.9206 | 58 | 0.5361 | 0.8422 | 0.5361 |
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+ | No log | 0.9524 | 60 | 0.5468 | 0.8468 | 0.5468 |
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+ | No log | 0.9841 | 62 | 0.5424 | 0.8451 | 0.5424 |
 
 
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  ### Framework versions