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arabert_cross_vocabulary_task6_fold4

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  1. README.md +38 -41
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_fold3
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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_fold3
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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: 0.9261
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- - Qwk: 0.0
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- - Mse: 0.9261
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  ## Model description
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@@ -45,42 +45,39 @@ 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 | 0.0290 | 2 | 6.5303 | 0.0019 | 6.5303 |
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- | No log | 0.0580 | 4 | 3.1144 | 0.0013 | 3.1144 |
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- | No log | 0.0870 | 6 | 1.8229 | 0.0085 | 1.8229 |
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- | No log | 0.1159 | 8 | 1.2398 | 0.0 | 1.2398 |
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- | No log | 0.1449 | 10 | 0.7589 | 0.0496 | 0.7589 |
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- | No log | 0.1739 | 12 | 0.7859 | 0.0071 | 0.7859 |
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- | No log | 0.2029 | 14 | 0.8223 | -0.0684 | 0.8223 |
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- | No log | 0.2319 | 16 | 0.8121 | -0.0353 | 0.8121 |
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- | No log | 0.2609 | 18 | 0.7513 | -0.0578 | 0.7513 |
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- | No log | 0.2899 | 20 | 0.7698 | 0.0309 | 0.7698 |
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- | No log | 0.3188 | 22 | 0.7570 | -0.0286 | 0.7570 |
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- | No log | 0.3478 | 24 | 0.7494 | -0.0743 | 0.7494 |
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- | No log | 0.3768 | 26 | 0.7478 | 0.0 | 0.7478 |
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- | No log | 0.4058 | 28 | 0.7555 | 0.0 | 0.7555 |
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- | No log | 0.4348 | 30 | 0.7954 | 0.0 | 0.7954 |
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- | No log | 0.4638 | 32 | 0.8212 | 0.0 | 0.8212 |
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- | No log | 0.4928 | 34 | 0.8769 | 0.0 | 0.8769 |
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- | No log | 0.5217 | 36 | 0.9076 | 0.0 | 0.9076 |
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- | No log | 0.5507 | 38 | 0.8669 | 0.0 | 0.8669 |
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- | No log | 0.5797 | 40 | 0.7835 | -0.0530 | 0.7835 |
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- | No log | 0.6087 | 42 | 0.8154 | -0.0118 | 0.8154 |
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- | No log | 0.6377 | 44 | 1.0142 | 0.0093 | 1.0142 |
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- | No log | 0.6667 | 46 | 1.0534 | -0.0026 | 1.0534 |
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- | No log | 0.6957 | 48 | 0.9329 | 0.0381 | 0.9329 |
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- | No log | 0.7246 | 50 | 0.8143 | 0.0225 | 0.8143 |
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- | No log | 0.7536 | 52 | 0.7703 | -0.0860 | 0.7703 |
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- | No log | 0.7826 | 54 | 0.7862 | 0.0 | 0.7862 |
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- | No log | 0.8116 | 56 | 0.8271 | 0.0 | 0.8271 |
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- | No log | 0.8406 | 58 | 0.8682 | 0.0 | 0.8682 |
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- | No log | 0.8696 | 60 | 0.9099 | 0.0 | 0.9099 |
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- | No log | 0.8986 | 62 | 0.9266 | 0.0 | 0.9266 |
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- | No log | 0.9275 | 64 | 0.9343 | 0.0 | 0.9343 |
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- | No log | 0.9565 | 66 | 0.9325 | 0.0 | 0.9325 |
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- | No log | 0.9855 | 68 | 0.9261 | 0.0 | 0.9261 |
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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_task6_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_task6_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: 0.9017
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+ - Qwk: 0.7854
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+ - Mse: 0.9017
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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 | 0.0323 | 2 | 3.2692 | 0.0190 | 3.2692 |
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+ | No log | 0.0645 | 4 | 2.2061 | 0.1047 | 2.2061 |
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+ | No log | 0.0968 | 6 | 1.4731 | 0.2850 | 1.4731 |
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+ | No log | 0.1290 | 8 | 1.4939 | 0.3745 | 1.4939 |
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+ | No log | 0.1613 | 10 | 1.4323 | 0.5432 | 1.4323 |
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+ | No log | 0.1935 | 12 | 1.1650 | 0.5658 | 1.1650 |
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+ | No log | 0.2258 | 14 | 1.2574 | 0.6380 | 1.2574 |
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+ | No log | 0.2581 | 16 | 1.5764 | 0.6494 | 1.5764 |
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+ | No log | 0.2903 | 18 | 1.5312 | 0.6719 | 1.5312 |
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+ | No log | 0.3226 | 20 | 1.0794 | 0.7533 | 1.0794 |
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+ | No log | 0.3548 | 22 | 0.7210 | 0.7812 | 0.7210 |
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+ | No log | 0.3871 | 24 | 0.6686 | 0.7619 | 0.6686 |
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+ | No log | 0.4194 | 26 | 0.7673 | 0.8035 | 0.7673 |
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+ | No log | 0.4516 | 28 | 0.9964 | 0.7709 | 0.9964 |
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+ | No log | 0.4839 | 30 | 1.0717 | 0.7698 | 1.0717 |
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+ | No log | 0.5161 | 32 | 1.0503 | 0.7731 | 1.0503 |
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+ | No log | 0.5484 | 34 | 0.9077 | 0.7987 | 0.9077 |
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+ | No log | 0.5806 | 36 | 0.7545 | 0.8028 | 0.7545 |
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+ | No log | 0.6129 | 38 | 0.7792 | 0.8013 | 0.7792 |
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+ | No log | 0.6452 | 40 | 0.7860 | 0.7981 | 0.7860 |
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+ | No log | 0.6774 | 42 | 0.7492 | 0.7988 | 0.7492 |
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+ | No log | 0.7097 | 44 | 0.7053 | 0.8126 | 0.7053 |
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+ | No log | 0.7419 | 46 | 0.7612 | 0.8056 | 0.7612 |
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+ | No log | 0.7742 | 48 | 0.8008 | 0.7851 | 0.8008 |
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+ | No log | 0.8065 | 50 | 0.8570 | 0.7727 | 0.8570 |
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+ | No log | 0.8387 | 52 | 0.8902 | 0.7709 | 0.8902 |
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+ | No log | 0.8710 | 54 | 0.9179 | 0.7780 | 0.9179 |
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+ | No log | 0.9032 | 56 | 0.9185 | 0.7758 | 0.9185 |
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+ | No log | 0.9355 | 58 | 0.9139 | 0.7854 | 0.9139 |
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+ | No log | 0.9677 | 60 | 0.9045 | 0.7854 | 0.9045 |
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+ | No log | 1.0 | 62 | 0.9017 | 0.7854 | 0.9017 |
 
 
 
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  ### Framework versions