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arabert_baseline_mechanics_task7_fold1

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  1. README.md +35 -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_baseline_mechanics_task7_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_task7_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: 0.3972
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- - Qwk: 0.6491
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- - Mse: 0.3972
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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 | 1.3247 | 0.0816 | 1.3247 |
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- | No log | 0.6667 | 4 | 0.6683 | 0.4335 | 0.6683 |
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- | No log | 1.0 | 6 | 0.5559 | 0.4980 | 0.5559 |
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- | No log | 1.3333 | 8 | 0.6243 | 0.4454 | 0.6243 |
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- | No log | 1.6667 | 10 | 0.4715 | 0.6195 | 0.4715 |
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- | No log | 2.0 | 12 | 0.5116 | 0.6491 | 0.5116 |
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- | No log | 2.3333 | 14 | 0.6116 | 0.5702 | 0.6116 |
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- | No log | 2.6667 | 16 | 0.6154 | 0.5631 | 0.6154 |
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- | No log | 3.0 | 18 | 0.6351 | 0.4762 | 0.6351 |
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- | No log | 3.3333 | 20 | 0.4519 | 0.5248 | 0.4519 |
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- | No log | 3.6667 | 22 | 0.2987 | 0.6600 | 0.2987 |
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- | No log | 4.0 | 24 | 0.2664 | 0.6715 | 0.2664 |
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- | No log | 4.3333 | 26 | 0.3049 | 0.6491 | 0.3049 |
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- | No log | 4.6667 | 28 | 0.5042 | 0.5601 | 0.5042 |
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- | No log | 5.0 | 30 | 0.7298 | 0.4401 | 0.7298 |
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- | No log | 5.3333 | 32 | 0.7112 | 0.4401 | 0.7112 |
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- | No log | 5.6667 | 34 | 0.4277 | 0.6780 | 0.4277 |
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- | No log | 6.0 | 36 | 0.2880 | 0.7239 | 0.2880 |
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- | No log | 6.3333 | 38 | 0.2886 | 0.7239 | 0.2886 |
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- | No log | 6.6667 | 40 | 0.3219 | 0.7239 | 0.3219 |
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- | No log | 7.0 | 42 | 0.4290 | 0.6329 | 0.4290 |
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- | No log | 7.3333 | 44 | 0.5828 | 0.5497 | 0.5828 |
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- | No log | 7.6667 | 46 | 0.6367 | 0.5129 | 0.6367 |
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- | No log | 8.0 | 48 | 0.5900 | 0.5497 | 0.5900 |
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- | No log | 8.3333 | 50 | 0.4796 | 0.5955 | 0.4796 |
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- | No log | 8.6667 | 52 | 0.4272 | 0.6491 | 0.4272 |
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- | No log | 9.0 | 54 | 0.4126 | 0.6491 | 0.4126 |
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- | No log | 9.3333 | 56 | 0.4004 | 0.6491 | 0.4004 |
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- | No log | 9.6667 | 58 | 0.3997 | 0.6491 | 0.3997 |
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- | No log | 10.0 | 60 | 0.3972 | 0.6491 | 0.3972 |
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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_task7_fold1
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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_task7_fold1
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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: 0.3250
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+ - Qwk: 0.7258
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+ - Mse: 0.3234
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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 | 0.9603 | 0.2687 | 0.9651 |
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+ | No log | 0.6667 | 4 | 0.6926 | 0.5364 | 0.7202 |
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+ | No log | 1.0 | 6 | 0.7727 | 0.6067 | 0.8086 |
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+ | No log | 1.3333 | 8 | 0.7221 | 0.3538 | 0.7310 |
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+ | No log | 1.6667 | 10 | 0.6375 | 0.4368 | 0.6487 |
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+ | No log | 2.0 | 12 | 0.5211 | 0.6263 | 0.5378 |
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+ | No log | 2.3333 | 14 | 0.4993 | 0.5911 | 0.5125 |
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+ | No log | 2.6667 | 16 | 0.5624 | 0.6433 | 0.5686 |
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+ | No log | 3.0 | 18 | 0.5828 | 0.6023 | 0.5851 |
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+ | No log | 3.3333 | 20 | 0.4962 | 0.6576 | 0.4985 |
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+ | No log | 3.6667 | 22 | 0.4100 | 0.6702 | 0.4135 |
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+ | No log | 4.0 | 24 | 0.4169 | 0.6702 | 0.4169 |
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+ | No log | 4.3333 | 26 | 0.4947 | 0.6509 | 0.4883 |
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+ | No log | 4.6667 | 28 | 0.6006 | 0.5556 | 0.5893 |
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+ | No log | 5.0 | 30 | 0.5615 | 0.6121 | 0.5504 |
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+ | No log | 5.3333 | 32 | 0.4063 | 0.6702 | 0.4018 |
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+ | No log | 5.6667 | 34 | 0.3483 | 0.7083 | 0.3470 |
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+ | No log | 6.0 | 36 | 0.3490 | 0.7258 | 0.3465 |
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+ | No log | 6.3333 | 38 | 0.3721 | 0.7258 | 0.3681 |
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+ | No log | 6.6667 | 40 | 0.3827 | 0.7337 | 0.3782 |
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+ | No log | 7.0 | 42 | 0.4201 | 0.6757 | 0.4135 |
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+ | No log | 7.3333 | 44 | 0.4186 | 0.6757 | 0.4120 |
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+ | No log | 7.6667 | 46 | 0.3821 | 0.7337 | 0.3775 |
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+ | No log | 8.0 | 48 | 0.3398 | 0.7258 | 0.3377 |
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+ | No log | 8.3333 | 50 | 0.3148 | 0.7258 | 0.3139 |
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+ | No log | 8.6667 | 52 | 0.3098 | 0.7258 | 0.3091 |
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+ | No log | 9.0 | 54 | 0.3110 | 0.7258 | 0.3101 |
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+ | No log | 9.3333 | 56 | 0.3160 | 0.7258 | 0.3149 |
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+ | No log | 9.6667 | 58 | 0.3224 | 0.7258 | 0.3209 |
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+ | No log | 10.0 | 60 | 0.3250 | 0.7258 | 0.3234 |
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  ### Framework versions