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arabert_cross_vocabulary_task4_fold0

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  1. README.md +37 -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_fold6
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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_fold6
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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: 0.3859
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- - Qwk: 0.7465
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- - Mse: 0.3850
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  ## Model description
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@@ -47,39 +47,38 @@ 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 | 4.8140 | 0.0 | 4.7922 |
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- | No log | 0.0597 | 4 | 2.6414 | 0.1002 | 2.6244 |
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- | No log | 0.0896 | 6 | 1.5022 | 0.0832 | 1.4837 |
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- | No log | 0.1194 | 8 | 0.9313 | 0.3800 | 0.9142 |
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- | No log | 0.1493 | 10 | 0.8708 | 0.3343 | 0.8484 |
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- | No log | 0.1791 | 12 | 0.8004 | 0.4374 | 0.7791 |
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- | No log | 0.2090 | 14 | 0.5474 | 0.6525 | 0.5373 |
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- | No log | 0.2388 | 16 | 0.4930 | 0.6276 | 0.4867 |
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- | No log | 0.2687 | 18 | 0.9463 | 0.4397 | 0.9380 |
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- | No log | 0.2985 | 20 | 0.6703 | 0.5012 | 0.6673 |
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- | No log | 0.3284 | 22 | 0.4148 | 0.6772 | 0.4141 |
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- | No log | 0.3582 | 24 | 0.4877 | 0.7502 | 0.4873 |
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- | No log | 0.3881 | 26 | 0.4802 | 0.7876 | 0.4797 |
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- | No log | 0.4179 | 28 | 0.4307 | 0.7387 | 0.4292 |
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- | No log | 0.4478 | 30 | 0.5761 | 0.5798 | 0.5713 |
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- | No log | 0.4776 | 32 | 0.5786 | 0.5835 | 0.5734 |
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- | No log | 0.5075 | 34 | 0.4565 | 0.6502 | 0.4532 |
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- | No log | 0.5373 | 36 | 0.4192 | 0.7783 | 0.4180 |
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- | No log | 0.5672 | 38 | 0.4672 | 0.7983 | 0.4666 |
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- | No log | 0.5970 | 40 | 0.4538 | 0.7680 | 0.4535 |
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- | No log | 0.6269 | 42 | 0.4667 | 0.7291 | 0.4667 |
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- | No log | 0.6567 | 44 | 0.5942 | 0.6559 | 0.5941 |
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- | No log | 0.6866 | 46 | 0.6824 | 0.6019 | 0.6822 |
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- | No log | 0.7164 | 48 | 0.6148 | 0.6232 | 0.6147 |
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- | No log | 0.7463 | 50 | 0.4953 | 0.6804 | 0.4955 |
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- | No log | 0.7761 | 52 | 0.4313 | 0.7294 | 0.4314 |
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- | No log | 0.8060 | 54 | 0.4207 | 0.7718 | 0.4207 |
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- | No log | 0.8358 | 56 | 0.4290 | 0.7922 | 0.4287 |
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- | No log | 0.8657 | 58 | 0.4177 | 0.7922 | 0.4174 |
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- | No log | 0.8955 | 60 | 0.4004 | 0.7868 | 0.3999 |
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- | No log | 0.9254 | 62 | 0.3904 | 0.7743 | 0.3898 |
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- | No log | 0.9552 | 64 | 0.3861 | 0.7613 | 0.3853 |
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- | No log | 0.9851 | 66 | 0.3859 | 0.7465 | 0.3850 |
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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_task4_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_task4_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: 0.8406
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+ - Qwk: 0.4869
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+ - Mse: 0.8406
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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 | 0.0308 | 2 | 5.8006 | 0.0028 | 5.7935 |
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+ | No log | 0.0615 | 4 | 3.2764 | 0.0156 | 3.2707 |
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+ | No log | 0.0923 | 6 | 1.6565 | 0.1556 | 1.6520 |
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+ | No log | 0.1231 | 8 | 0.9711 | 0.1893 | 0.9685 |
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+ | No log | 0.1538 | 10 | 0.8861 | 0.2860 | 0.8838 |
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+ | No log | 0.1846 | 12 | 1.4789 | 0.1911 | 1.4759 |
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+ | No log | 0.2154 | 14 | 2.1319 | 0.1487 | 2.1287 |
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+ | No log | 0.2462 | 16 | 1.7196 | 0.2185 | 1.7170 |
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+ | No log | 0.2769 | 18 | 1.0076 | 0.3413 | 1.0063 |
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+ | No log | 0.3077 | 20 | 0.8904 | 0.3996 | 0.8897 |
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+ | No log | 0.3385 | 22 | 1.1149 | 0.3433 | 1.1142 |
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+ | No log | 0.3692 | 24 | 1.1193 | 0.3481 | 1.1188 |
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+ | No log | 0.4 | 26 | 0.9820 | 0.3962 | 0.9818 |
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+ | No log | 0.4308 | 28 | 0.8143 | 0.4684 | 0.8141 |
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+ | No log | 0.4615 | 30 | 0.8216 | 0.4725 | 0.8215 |
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+ | No log | 0.4923 | 32 | 1.0728 | 0.3944 | 1.0729 |
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+ | No log | 0.5231 | 34 | 1.2902 | 0.3621 | 1.2903 |
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+ | No log | 0.5538 | 36 | 1.1504 | 0.3826 | 1.1506 |
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+ | No log | 0.5846 | 38 | 0.9402 | 0.4417 | 0.9403 |
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+ | No log | 0.6154 | 40 | 0.8442 | 0.4861 | 0.8442 |
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+ | No log | 0.6462 | 42 | 0.8157 | 0.5097 | 0.8157 |
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+ | No log | 0.6769 | 44 | 0.7981 | 0.5175 | 0.7980 |
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+ | No log | 0.7077 | 46 | 0.8171 | 0.5105 | 0.8170 |
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+ | No log | 0.7385 | 48 | 0.9036 | 0.4947 | 0.9036 |
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+ | No log | 0.7692 | 50 | 0.9337 | 0.4808 | 0.9338 |
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+ | No log | 0.8 | 52 | 0.9430 | 0.4687 | 0.9432 |
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+ | No log | 0.8308 | 54 | 0.9279 | 0.4743 | 0.9280 |
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+ | No log | 0.8615 | 56 | 0.8904 | 0.4850 | 0.8905 |
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+ | No log | 0.8923 | 58 | 0.8610 | 0.4939 | 0.8610 |
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+ | No log | 0.9231 | 60 | 0.8424 | 0.4894 | 0.8424 |
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+ | No log | 0.9538 | 62 | 0.8388 | 0.4905 | 0.8388 |
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+ | No log | 0.9846 | 64 | 0.8406 | 0.4869 | 0.8406 |
 
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  ### Framework versions