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arabert_cross_vocabulary_task6_fold5

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  1. README.md +35 -36
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_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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@@ -47,37 +47,36 @@ 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 | 0.0323 | 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
 
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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_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_task6_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: 0.3785
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+ - Qwk: 0.8516
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+ - Mse: 0.3785
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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 | 0.0328 | 2 | 3.9811 | 0.0 | 3.9811 |
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+ | No log | 0.0656 | 4 | 2.1407 | 0.1479 | 2.1407 |
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+ | No log | 0.0984 | 6 | 1.1264 | 0.1813 | 1.1264 |
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+ | No log | 0.1311 | 8 | 0.8366 | 0.5074 | 0.8366 |
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+ | No log | 0.1639 | 10 | 0.8195 | 0.5441 | 0.8195 |
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+ | No log | 0.1967 | 12 | 1.0058 | 0.5881 | 1.0058 |
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+ | No log | 0.2295 | 14 | 1.0622 | 0.6346 | 1.0622 |
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+ | No log | 0.2623 | 16 | 0.9868 | 0.6510 | 0.9868 |
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+ | No log | 0.2951 | 18 | 0.6515 | 0.7729 | 0.6515 |
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+ | No log | 0.3279 | 20 | 0.3945 | 0.6974 | 0.3945 |
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+ | No log | 0.3607 | 22 | 0.5838 | 0.5376 | 0.5838 |
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+ | No log | 0.3934 | 24 | 0.3960 | 0.6758 | 0.3960 |
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+ | No log | 0.4262 | 26 | 0.3530 | 0.8548 | 0.3530 |
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+ | No log | 0.4590 | 28 | 0.6972 | 0.8507 | 0.6972 |
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+ | No log | 0.4918 | 30 | 0.8848 | 0.8086 | 0.8848 |
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+ | No log | 0.5246 | 32 | 0.8411 | 0.8211 | 0.8411 |
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+ | No log | 0.5574 | 34 | 0.7868 | 0.8137 | 0.7868 |
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+ | No log | 0.5902 | 36 | 0.6804 | 0.8522 | 0.6804 |
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+ | No log | 0.6230 | 38 | 0.5836 | 0.8642 | 0.5836 |
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+ | No log | 0.6557 | 40 | 0.4481 | 0.8666 | 0.4481 |
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+ | No log | 0.6885 | 42 | 0.3439 | 0.8485 | 0.3439 |
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+ | No log | 0.7213 | 44 | 0.3168 | 0.8084 | 0.3168 |
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+ | No log | 0.7541 | 46 | 0.3134 | 0.7968 | 0.3134 |
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+ | No log | 0.7869 | 48 | 0.3070 | 0.7933 | 0.3070 |
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+ | No log | 0.8197 | 50 | 0.3050 | 0.8144 | 0.3050 |
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+ | No log | 0.8525 | 52 | 0.3093 | 0.8265 | 0.3093 |
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+ | No log | 0.8852 | 54 | 0.3243 | 0.8430 | 0.3243 |
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+ | No log | 0.9180 | 56 | 0.3471 | 0.8435 | 0.3471 |
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+ | No log | 0.9508 | 58 | 0.3676 | 0.8531 | 0.3676 |
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+ | No log | 0.9836 | 60 | 0.3785 | 0.8516 | 0.3785 |
 
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  ### Framework versions