salbatarni
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End of training
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README.md
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@@ -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:
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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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#
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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.
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- Qwk: 0.
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- Mse: 0.
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## Model description
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@@ -47,36 +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 | 0.3333 | 2 | 4.
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| No log | 0.6667 | 4 | 2.
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| No log | 1.0 | 6 | 1.
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| No log | 1.3333 | 8 |
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| No log | 1.6667 | 10 | 0.
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| No log | 2.0 | 12 |
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| No log | 2.3333 | 14 | 1.
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| No log | 2.6667 | 16 | 0.
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| No log | 3.0 | 18 | 0.
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| No log | 3.3333 | 20 | 0.
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| No log | 3.6667 | 22 |
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| No log | 4.0 | 24 |
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| No log | 4.3333 | 26 |
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| No log | 4.6667 | 28 |
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| No log | 5.0 | 30 | 0.
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| No log | 5.3333 | 32 | 0.
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| No log | 5.6667 | 34 | 0.
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| No log | 6.0 | 36 | 0.
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| No log | 6.3333 | 38 |
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| No log | 6.6667 | 40 | 0.
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| No log | 7.0 | 42 | 0.
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| No log | 7.3333 | 44 | 0.
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| No log | 7.6667 | 46 | 0.
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| No log | 8.0 | 48 | 0.
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| No log | 8.3333 | 50 | 0.
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| No log | 8.6667 | 52 | 0.
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| No log | 9.0 | 54 | 0.
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| No log | 9.3333 | 56 | 0.
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| No log | 9.6667 | 58 | 0.
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| No log | 10.0 | 60 | 0.
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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_baseline_mechanics_task2_fold0
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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_baseline_mechanics_task2_fold0
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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: 0.9842
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- Qwk: 0.1750
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- Mse: 0.9841
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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 | 0.3333 | 2 | 4.1574 | 0.0205 | 4.1715 |
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| No log | 0.6667 | 4 | 2.0929 | 0.0123 | 2.1054 |
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| No log | 1.0 | 6 | 1.3194 | -0.1337 | 1.3202 |
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| No log | 1.3333 | 8 | 0.9360 | 0.2588 | 0.9322 |
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| No log | 1.6667 | 10 | 0.9386 | 0.0907 | 0.9344 |
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| No log | 2.0 | 12 | 1.1338 | -0.0221 | 1.1277 |
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| No log | 2.3333 | 14 | 1.0683 | 0.0907 | 1.0627 |
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| No log | 2.6667 | 16 | 0.8193 | 0.2808 | 0.8154 |
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| No log | 3.0 | 18 | 0.7951 | 0.2441 | 0.7912 |
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| No log | 3.3333 | 20 | 0.8524 | 0.2853 | 0.8486 |
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| No log | 3.6667 | 22 | 1.0382 | -0.1210 | 1.0361 |
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| No log | 4.0 | 24 | 1.2097 | -0.1351 | 1.2090 |
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| No log | 4.3333 | 26 | 1.3025 | -0.0355 | 1.3038 |
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| No log | 4.6667 | 28 | 1.1375 | 0.2732 | 1.1373 |
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| No log | 5.0 | 30 | 0.8628 | 0.2455 | 0.8539 |
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| No log | 5.3333 | 32 | 0.8145 | 0.1649 | 0.8046 |
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| No log | 5.6667 | 34 | 0.8765 | 0.2222 | 0.8718 |
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| No log | 6.0 | 36 | 0.9949 | 0.1892 | 0.9951 |
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| No log | 6.3333 | 38 | 1.0164 | 0.1892 | 1.0171 |
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| No log | 6.6667 | 40 | 0.9913 | 0.1892 | 0.9919 |
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| No log | 7.0 | 42 | 0.9485 | 0.1892 | 0.9484 |
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| No log | 7.3333 | 44 | 0.9129 | 0.0667 | 0.9120 |
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| No log | 7.6667 | 46 | 0.8943 | 0.0667 | 0.8925 |
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| No log | 8.0 | 48 | 0.9394 | 0.0667 | 0.9387 |
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| No log | 8.3333 | 50 | 0.9883 | 0.1892 | 0.9886 |
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| No log | 8.6667 | 52 | 0.9904 | 0.1892 | 0.9907 |
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| No log | 9.0 | 54 | 0.9905 | 0.1892 | 0.9908 |
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| No log | 9.3333 | 56 | 0.9842 | 0.1892 | 0.9843 |
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| No log | 9.6667 | 58 | 0.9876 | 0.1664 | 0.9876 |
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| No log | 10.0 | 60 | 0.9842 | 0.1750 | 0.9841 |
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### Framework versions
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