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arabert_cross_relevance_task5_fold4

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  1. README.md +38 -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_relevance_task5_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_relevance_task5_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: 0.2615
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- - Qwk: 0.0
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- - Mse: 0.2615
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  ## Model description
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@@ -45,40 +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 | 0.0308 | 2 | 1.7894 | 0.0 | 1.7894 |
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- | No log | 0.0615 | 4 | 0.5746 | 0.0241 | 0.5746 |
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- | No log | 0.0923 | 6 | 0.2626 | 0.0101 | 0.2626 |
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- | No log | 0.1231 | 8 | 0.3467 | 0.0842 | 0.3467 |
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- | No log | 0.1538 | 10 | 0.3204 | -0.0484 | 0.3204 |
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- | No log | 0.1846 | 12 | 0.2946 | 0.0278 | 0.2946 |
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- | No log | 0.2154 | 14 | 0.3020 | 0.0 | 0.3020 |
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- | No log | 0.2462 | 16 | 0.3536 | 0.0 | 0.3536 |
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- | No log | 0.2769 | 18 | 0.3417 | 0.0 | 0.3417 |
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- | No log | 0.3077 | 20 | 0.3100 | 0.0 | 0.3100 |
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- | No log | 0.3385 | 22 | 0.3160 | 0.0 | 0.3160 |
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- | No log | 0.3692 | 24 | 0.3028 | 0.0 | 0.3028 |
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- | No log | 0.4 | 26 | 0.2898 | 0.0 | 0.2898 |
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- | No log | 0.4308 | 28 | 0.2803 | 0.0 | 0.2803 |
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- | No log | 0.4615 | 30 | 0.2760 | 0.0 | 0.2760 |
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- | No log | 0.4923 | 32 | 0.2736 | 0.0 | 0.2736 |
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- | No log | 0.5231 | 34 | 0.2752 | 0.0101 | 0.2752 |
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- | No log | 0.5538 | 36 | 0.2821 | -0.0069 | 0.2821 |
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- | No log | 0.5846 | 38 | 0.2933 | 0.0217 | 0.2933 |
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- | No log | 0.6154 | 40 | 0.2959 | 0.0672 | 0.2959 |
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- | No log | 0.6462 | 42 | 0.2871 | -0.0106 | 0.2871 |
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- | No log | 0.6769 | 44 | 0.2960 | 0.0267 | 0.2960 |
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- | No log | 0.7077 | 46 | 0.2930 | 0.0185 | 0.2930 |
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- | No log | 0.7385 | 48 | 0.2791 | 0.0035 | 0.2791 |
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- | No log | 0.7692 | 50 | 0.2677 | 0.0 | 0.2677 |
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- | No log | 0.8 | 52 | 0.2641 | 0.0 | 0.2641 |
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- | No log | 0.8308 | 54 | 0.2641 | 0.0 | 0.2641 |
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- | No log | 0.8615 | 56 | 0.2630 | 0.0 | 0.2630 |
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- | No log | 0.8923 | 58 | 0.2625 | 0.0 | 0.2625 |
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- | No log | 0.9231 | 60 | 0.2620 | 0.0 | 0.2620 |
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- | No log | 0.9538 | 62 | 0.2617 | 0.0 | 0.2617 |
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- | No log | 0.9846 | 64 | 0.2615 | 0.0 | 0.2615 |
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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_relevance_task5_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_relevance_task5_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: 0.2261
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+ - Qwk: 0.2838
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+ - Mse: 0.2261
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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 | 1.6267 | 0.0206 | 1.6267 |
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+ | No log | 0.0645 | 4 | 0.6295 | 0.1053 | 0.6295 |
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+ | No log | 0.0968 | 6 | 0.4260 | 0.3370 | 0.4260 |
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+ | No log | 0.1290 | 8 | 0.4248 | 0.4314 | 0.4248 |
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+ | No log | 0.1613 | 10 | 0.3466 | 0.3443 | 0.3466 |
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+ | No log | 0.1935 | 12 | 0.4105 | 0.2375 | 0.4105 |
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+ | No log | 0.2258 | 14 | 0.3287 | 0.2798 | 0.3287 |
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+ | No log | 0.2581 | 16 | 0.2989 | 0.1540 | 0.2989 |
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+ | No log | 0.2903 | 18 | 0.3497 | 0.1146 | 0.3497 |
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+ | No log | 0.3226 | 20 | 0.3800 | 0.1054 | 0.3800 |
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+ | No log | 0.3548 | 22 | 0.3794 | 0.1321 | 0.3794 |
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+ | No log | 0.3871 | 24 | 0.3604 | 0.1419 | 0.3604 |
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+ | No log | 0.4194 | 26 | 0.3415 | 0.1237 | 0.3415 |
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+ | No log | 0.4516 | 28 | 0.3281 | 0.1146 | 0.3281 |
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+ | No log | 0.4839 | 30 | 0.3104 | 0.1540 | 0.3104 |
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+ | No log | 0.5161 | 32 | 0.3038 | 0.1712 | 0.3038 |
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+ | No log | 0.5484 | 34 | 0.3014 | 0.2137 | 0.3014 |
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+ | No log | 0.5806 | 36 | 0.3112 | 0.3245 | 0.3112 |
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+ | No log | 0.6129 | 38 | 0.3504 | 0.5163 | 0.3504 |
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+ | No log | 0.6452 | 40 | 0.3531 | 0.5856 | 0.3531 |
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+ | No log | 0.6774 | 42 | 0.3104 | 0.5441 | 0.3104 |
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+ | No log | 0.7097 | 44 | 0.2557 | 0.4454 | 0.2557 |
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+ | No log | 0.7419 | 46 | 0.2386 | 0.3706 | 0.2386 |
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+ | No log | 0.7742 | 48 | 0.2305 | 0.3243 | 0.2305 |
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+ | No log | 0.8065 | 50 | 0.2278 | 0.2956 | 0.2278 |
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+ | No log | 0.8387 | 52 | 0.2268 | 0.2876 | 0.2268 |
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+ | No log | 0.8710 | 54 | 0.2263 | 0.2956 | 0.2263 |
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+ | No log | 0.9032 | 56 | 0.2261 | 0.2838 | 0.2261 |
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+ | No log | 0.9355 | 58 | 0.2260 | 0.2758 | 0.2260 |
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+ | No log | 0.9677 | 60 | 0.2260 | 0.2758 | 0.2260 |
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+ | No log | 1.0 | 62 | 0.2261 | 0.2838 | 0.2261 |
 
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  ### Framework versions