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arabert_cross_vocabulary_task4_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_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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@@ -47,38 +47,41 @@ 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 | 0.0308 | 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
 
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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_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_task4_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: 1.4786
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+ - Qwk: 0.0414
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+ - Mse: 1.4653
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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 | 0.0282 | 2 | 7.1347 | 0.0039 | 7.1562 |
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+ | No log | 0.0563 | 4 | 3.4551 | 0.0095 | 3.4688 |
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+ | No log | 0.0845 | 6 | 1.4618 | 0.0540 | 1.4670 |
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+ | No log | 0.1127 | 8 | 0.7258 | -0.0161 | 0.7252 |
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+ | No log | 0.1408 | 10 | 0.7701 | -0.0572 | 0.7709 |
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+ | No log | 0.1690 | 12 | 1.0250 | -0.0732 | 1.0315 |
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+ | No log | 0.1972 | 14 | 0.7175 | -0.0348 | 0.7181 |
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+ | No log | 0.2254 | 16 | 0.6112 | 0.0365 | 0.6099 |
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+ | No log | 0.2535 | 18 | 0.5589 | 0.0853 | 0.5572 |
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+ | No log | 0.2817 | 20 | 0.5273 | 0.0940 | 0.5251 |
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+ | No log | 0.3099 | 22 | 0.5480 | 0.0098 | 0.5432 |
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+ | No log | 0.3380 | 24 | 0.7106 | 0.0098 | 0.7034 |
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+ | No log | 0.3662 | 26 | 0.9344 | 0.0202 | 0.9253 |
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+ | No log | 0.3944 | 28 | 1.1676 | 0.1456 | 1.1562 |
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+ | No log | 0.4225 | 30 | 1.2628 | 0.1249 | 1.2507 |
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+ | No log | 0.4507 | 32 | 1.0404 | 0.1021 | 1.0296 |
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+ | No log | 0.4789 | 34 | 1.0395 | 0.1112 | 1.0292 |
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+ | No log | 0.5070 | 36 | 1.1961 | 0.1187 | 1.1868 |
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+ | No log | 0.5352 | 38 | 1.1022 | 0.1439 | 1.0951 |
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+ | No log | 0.5634 | 40 | 0.8840 | -0.0190 | 0.8791 |
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+ | No log | 0.5915 | 42 | 0.7380 | -0.0094 | 0.7349 |
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+ | No log | 0.6197 | 44 | 0.7231 | -0.0336 | 0.7198 |
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+ | No log | 0.6479 | 46 | 0.7578 | -0.0424 | 0.7530 |
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+ | No log | 0.6761 | 48 | 0.9652 | -0.0262 | 0.9566 |
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+ | No log | 0.7042 | 50 | 1.1114 | -0.1252 | 1.1008 |
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+ | No log | 0.7324 | 52 | 1.2059 | 0.0116 | 1.1948 |
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+ | No log | 0.7606 | 54 | 1.3383 | -0.0009 | 1.3265 |
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+ | No log | 0.7887 | 56 | 1.4278 | 0.0369 | 1.4156 |
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+ | No log | 0.8169 | 58 | 1.4154 | 0.0855 | 1.4032 |
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+ | No log | 0.8451 | 60 | 1.3691 | 0.1138 | 1.3571 |
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+ | No log | 0.8732 | 62 | 1.3963 | 0.0789 | 1.3841 |
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+ | No log | 0.9014 | 64 | 1.4466 | 0.0640 | 1.4340 |
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+ | No log | 0.9296 | 66 | 1.4766 | 0.0358 | 1.4637 |
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+ | No log | 0.9577 | 68 | 1.4844 | 0.0203 | 1.4712 |
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+ | No log | 0.9859 | 70 | 1.4786 | 0.0414 | 1.4653 |
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  ### Framework versions