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arabert_baseline_mechanics_task5_fold1

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  1. README.md +35 -35
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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: arabert_baseline_mechanics_task5_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_task5_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: 0.6428
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- - Qwk: 0.8185
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- - Mse: 0.6428
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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 | 1.2787 | 0.2092 | 1.2787 |
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- | No log | 0.6667 | 4 | 1.1600 | 0.0 | 1.1600 |
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- | No log | 1.0 | 6 | 1.0539 | 0.0 | 1.0539 |
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- | No log | 1.3333 | 8 | 0.9571 | 0.0 | 0.9571 |
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- | No log | 1.6667 | 10 | 0.9644 | 0.1447 | 0.9644 |
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- | No log | 2.0 | 12 | 0.9860 | 0.2857 | 0.9860 |
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- | No log | 2.3333 | 14 | 0.9563 | 0.3254 | 0.9563 |
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- | No log | 2.6667 | 16 | 0.8909 | 0.4531 | 0.8909 |
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- | No log | 3.0 | 18 | 0.8374 | 0.4531 | 0.8374 |
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- | No log | 3.3333 | 20 | 0.7882 | 0.5 | 0.7882 |
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- | No log | 3.6667 | 22 | 0.7735 | 0.5 | 0.7735 |
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- | No log | 4.0 | 24 | 0.7048 | 0.4932 | 0.7048 |
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- | No log | 4.3333 | 26 | 0.6450 | 0.4408 | 0.6450 |
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- | No log | 4.6667 | 28 | 0.5868 | 0.6307 | 0.5868 |
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- | No log | 5.0 | 30 | 0.5327 | 0.5588 | 0.5327 |
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- | No log | 5.3333 | 32 | 0.5046 | 0.6154 | 0.5046 |
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- | No log | 5.6667 | 34 | 0.4945 | 0.6154 | 0.4945 |
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- | No log | 6.0 | 36 | 0.5109 | 0.6277 | 0.5109 |
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- | No log | 6.3333 | 38 | 0.5298 | 0.6934 | 0.5298 |
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- | No log | 6.6667 | 40 | 0.5625 | 0.6875 | 0.5625 |
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- | No log | 7.0 | 42 | 0.5920 | 0.6759 | 0.5920 |
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- | No log | 7.3333 | 44 | 0.6178 | 0.7098 | 0.6178 |
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- | No log | 7.6667 | 46 | 0.6508 | 0.7845 | 0.6508 |
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- | No log | 8.0 | 48 | 0.6616 | 0.7845 | 0.6616 |
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- | No log | 8.3333 | 50 | 0.6750 | 0.7845 | 0.6750 |
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- | No log | 8.6667 | 52 | 0.6591 | 0.7881 | 0.6591 |
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- | No log | 9.0 | 54 | 0.6523 | 0.8185 | 0.6523 |
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- | No log | 9.3333 | 56 | 0.6489 | 0.8185 | 0.6489 |
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- | No log | 9.6667 | 58 | 0.6443 | 0.8185 | 0.6443 |
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- | No log | 10.0 | 60 | 0.6428 | 0.8185 | 0.6428 |
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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_task5_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_task5_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: 0.6569
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+ - Qwk: 0.7179
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+ - Mse: 0.6569
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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 | 1.9122 | 0.0290 | 1.9122 |
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+ | No log | 0.6667 | 4 | 0.8359 | 0.0 | 0.8359 |
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+ | No log | 1.0 | 6 | 0.5865 | 0.3478 | 0.5865 |
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+ | No log | 1.3333 | 8 | 0.5525 | 0.1739 | 0.5525 |
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+ | No log | 1.6667 | 10 | 0.5082 | 0.25 | 0.5082 |
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+ | No log | 2.0 | 12 | 0.5342 | 0.3636 | 0.5342 |
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+ | No log | 2.3333 | 14 | 0.5194 | 0.3478 | 0.5194 |
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+ | No log | 2.6667 | 16 | 0.5004 | 0.5714 | 0.5004 |
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+ | No log | 3.0 | 18 | 0.5279 | 0.4848 | 0.5279 |
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+ | No log | 3.3333 | 20 | 0.5491 | 0.4848 | 0.5491 |
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+ | No log | 3.6667 | 22 | 0.6345 | 0.6154 | 0.6345 |
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+ | No log | 4.0 | 24 | 0.7154 | 0.6111 | 0.7154 |
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+ | No log | 4.3333 | 26 | 0.8157 | 0.5882 | 0.8157 |
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+ | No log | 4.6667 | 28 | 0.8595 | 0.6667 | 0.8595 |
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+ | No log | 5.0 | 30 | 0.7144 | 0.6842 | 0.7144 |
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+ | No log | 5.3333 | 32 | 0.6153 | 0.6 | 0.6153 |
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+ | No log | 5.6667 | 34 | 0.6974 | 0.6154 | 0.6974 |
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+ | No log | 6.0 | 36 | 0.7895 | 0.7 | 0.7895 |
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+ | No log | 6.3333 | 38 | 0.8393 | 0.6667 | 0.8393 |
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+ | No log | 6.6667 | 40 | 0.8578 | 0.6667 | 0.8578 |
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+ | No log | 7.0 | 42 | 0.8027 | 0.6667 | 0.8027 |
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+ | No log | 7.3333 | 44 | 0.7182 | 0.6667 | 0.7182 |
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+ | No log | 7.6667 | 46 | 0.6647 | 0.6842 | 0.6647 |
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+ | No log | 8.0 | 48 | 0.6573 | 0.6 | 0.6573 |
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+ | No log | 8.3333 | 50 | 0.6541 | 0.6842 | 0.6541 |
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+ | No log | 8.6667 | 52 | 0.6499 | 0.6842 | 0.6499 |
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+ | No log | 9.0 | 54 | 0.6477 | 0.7179 | 0.6477 |
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+ | No log | 9.3333 | 56 | 0.6501 | 0.7179 | 0.6501 |
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+ | No log | 9.6667 | 58 | 0.6545 | 0.7179 | 0.6545 |
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+ | No log | 10.0 | 60 | 0.6569 | 0.7179 | 0.6569 |
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  ### Framework versions