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arabert_cross_vocabulary_task4_fold1

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  1. README.md +39 -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_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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@@ -45,40 +45,40 @@ 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 | 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
 
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  tags:
4
  - generated_from_trainer
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  model-index:
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+ - name: arabert_cross_vocabulary_task4_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_task4_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: 0.5474
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+ - Qwk: 0.4497
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+ - Mse: 0.5474
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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 | 0.0308 | 2 | 8.1440 | -0.0005 | 8.1440 |
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+ | No log | 0.0615 | 4 | 4.7743 | 0.0021 | 4.7743 |
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+ | No log | 0.0923 | 6 | 2.7118 | 0.0416 | 2.7118 |
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+ | No log | 0.1231 | 8 | 1.7150 | 0.0799 | 1.7150 |
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+ | No log | 0.1538 | 10 | 0.8541 | 0.1088 | 0.8541 |
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+ | No log | 0.1846 | 12 | 0.8601 | 0.1094 | 0.8601 |
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+ | No log | 0.2154 | 14 | 0.8470 | 0.1589 | 0.8470 |
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+ | No log | 0.2462 | 16 | 1.0145 | 0.1789 | 1.0145 |
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+ | No log | 0.2769 | 18 | 1.4913 | 0.1666 | 1.4913 |
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+ | No log | 0.3077 | 20 | 1.4930 | 0.2073 | 1.4930 |
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+ | No log | 0.3385 | 22 | 0.8055 | 0.3243 | 0.8055 |
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+ | No log | 0.3692 | 24 | 0.5508 | 0.4354 | 0.5508 |
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+ | No log | 0.4 | 26 | 0.6031 | 0.3790 | 0.6031 |
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+ | No log | 0.4308 | 28 | 0.5860 | 0.4121 | 0.5860 |
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+ | No log | 0.4615 | 30 | 0.6336 | 0.4190 | 0.6336 |
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+ | No log | 0.4923 | 32 | 0.9905 | 0.3071 | 0.9905 |
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+ | No log | 0.5231 | 34 | 1.0889 | 0.2932 | 1.0889 |
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+ | No log | 0.5538 | 36 | 0.8745 | 0.3389 | 0.8745 |
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+ | No log | 0.5846 | 38 | 0.7332 | 0.3681 | 0.7332 |
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+ | No log | 0.6154 | 40 | 0.6486 | 0.3927 | 0.6486 |
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+ | No log | 0.6462 | 42 | 0.6347 | 0.3914 | 0.6347 |
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+ | No log | 0.6769 | 44 | 0.6439 | 0.3923 | 0.6439 |
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+ | No log | 0.7077 | 46 | 0.6224 | 0.4042 | 0.6224 |
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+ | No log | 0.7385 | 48 | 0.6224 | 0.4075 | 0.6224 |
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+ | No log | 0.7692 | 50 | 0.5740 | 0.4350 | 0.5740 |
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+ | No log | 0.8 | 52 | 0.5606 | 0.4443 | 0.5606 |
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+ | No log | 0.8308 | 54 | 0.5580 | 0.4473 | 0.5580 |
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+ | No log | 0.8615 | 56 | 0.5443 | 0.4451 | 0.5443 |
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+ | No log | 0.8923 | 58 | 0.5430 | 0.4451 | 0.5430 |
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+ | No log | 0.9231 | 60 | 0.5370 | 0.4575 | 0.5370 |
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+ | No log | 0.9538 | 62 | 0.5412 | 0.4517 | 0.5412 |
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+ | No log | 0.9846 | 64 | 0.5474 | 0.4497 | 0.5474 |
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  ### Framework versions