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arabert_cross_vocabulary_task6_fold6

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  1. README.md +37 -35
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_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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@@ -47,36 +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 | 0.0328 | 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
 
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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_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_task6_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: 0.4868
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+ - Qwk: 0.6478
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+ - Mse: 0.4856
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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 | 2.1344 | 0.0845 | 2.1260 |
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+ | No log | 0.0615 | 4 | 1.0808 | 0.2961 | 1.0693 |
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+ | No log | 0.0923 | 6 | 1.3454 | 0.2890 | 1.3254 |
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+ | No log | 0.1231 | 8 | 0.6739 | 0.5314 | 0.6662 |
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+ | No log | 0.1538 | 10 | 0.5779 | 0.6649 | 0.5736 |
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+ | No log | 0.1846 | 12 | 0.5912 | 0.7569 | 0.5902 |
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+ | No log | 0.2154 | 14 | 0.5775 | 0.7630 | 0.5772 |
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+ | No log | 0.2462 | 16 | 0.5694 | 0.6622 | 0.5684 |
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+ | No log | 0.2769 | 18 | 0.7642 | 0.5844 | 0.7634 |
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+ | No log | 0.3077 | 20 | 1.2490 | 0.4005 | 1.2461 |
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+ | No log | 0.3385 | 22 | 1.2661 | 0.3780 | 1.2624 |
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+ | No log | 0.3692 | 24 | 0.8020 | 0.5334 | 0.8002 |
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+ | No log | 0.4 | 26 | 0.6377 | 0.6083 | 0.6361 |
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+ | No log | 0.4308 | 28 | 0.5794 | 0.6047 | 0.5774 |
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+ | No log | 0.4615 | 30 | 0.5299 | 0.6342 | 0.5280 |
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+ | No log | 0.4923 | 32 | 0.4877 | 0.6511 | 0.4861 |
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+ | No log | 0.5231 | 34 | 0.4827 | 0.6483 | 0.4810 |
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+ | No log | 0.5538 | 36 | 0.4477 | 0.7136 | 0.4467 |
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+ | No log | 0.5846 | 38 | 0.4513 | 0.6644 | 0.4498 |
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+ | No log | 0.6154 | 40 | 0.4864 | 0.6268 | 0.4842 |
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+ | No log | 0.6462 | 42 | 0.5576 | 0.5786 | 0.5544 |
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+ | No log | 0.6769 | 44 | 0.6809 | 0.4995 | 0.6764 |
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+ | No log | 0.7077 | 46 | 0.7399 | 0.4954 | 0.7349 |
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+ | No log | 0.7385 | 48 | 0.6881 | 0.4918 | 0.6838 |
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+ | No log | 0.7692 | 50 | 0.6232 | 0.5309 | 0.6197 |
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+ | No log | 0.8 | 52 | 0.5631 | 0.5592 | 0.5605 |
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+ | No log | 0.8308 | 54 | 0.5054 | 0.6188 | 0.5036 |
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+ | No log | 0.8615 | 56 | 0.4969 | 0.6158 | 0.4954 |
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+ | No log | 0.8923 | 58 | 0.4962 | 0.6158 | 0.4947 |
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+ | No log | 0.9231 | 60 | 0.4915 | 0.6233 | 0.4901 |
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+ | No log | 0.9538 | 62 | 0.4898 | 0.6318 | 0.4885 |
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+ | No log | 0.9846 | 64 | 0.4868 | 0.6478 | 0.4856 |
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  ### Framework versions