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End of training

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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_development_task6_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_development_task6_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: 0.4958
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- - Qwk: 0.5513
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- - Mse: 0.4958
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  ## Model description
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@@ -45,28 +45,38 @@ 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 | 0.5 | 2 | 0.8754 | 0.1390 | 0.8754 |
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- | No log | 1.0 | 4 | 0.7157 | 0.5039 | 0.7157 |
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- | No log | 1.5 | 6 | 0.6589 | 0.3713 | 0.6589 |
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- | No log | 2.0 | 8 | 0.8933 | 0.2857 | 0.8933 |
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- | No log | 2.5 | 10 | 0.4415 | 0.5679 | 0.4415 |
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- | No log | 3.0 | 12 | 0.7544 | 0.5532 | 0.7544 |
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- | No log | 3.5 | 14 | 0.6791 | 0.4380 | 0.6791 |
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- | No log | 4.0 | 16 | 0.5398 | 0.4762 | 0.5398 |
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- | No log | 4.5 | 18 | 0.5209 | 0.5096 | 0.5209 |
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- | No log | 5.0 | 20 | 0.5172 | 0.5395 | 0.5172 |
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- | No log | 5.5 | 22 | 0.6042 | 0.4085 | 0.6042 |
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- | No log | 6.0 | 24 | 0.6539 | 0.5205 | 0.6539 |
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- | No log | 6.5 | 26 | 0.6064 | 0.4901 | 0.6064 |
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- | No log | 7.0 | 28 | 0.5186 | 0.4762 | 0.5186 |
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- | No log | 7.5 | 30 | 0.4734 | 0.5395 | 0.4734 |
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- | No log | 8.0 | 32 | 0.4610 | 0.5395 | 0.4610 |
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- | No log | 8.5 | 34 | 0.4597 | 0.5395 | 0.4597 |
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- | No log | 9.0 | 36 | 0.4714 | 0.5395 | 0.4714 |
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- | No log | 9.5 | 38 | 0.4877 | 0.5513 | 0.4877 |
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- | No log | 10.0 | 40 | 0.4958 | 0.5513 | 0.4958 |
 
 
 
 
 
 
 
 
 
 
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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_development_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_development_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: 0.3255
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+ - Qwk: 0.6
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+ - Mse: 0.3255
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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 | 0.3333 | 2 | 1.1202 | 0.0777 | 1.1202 |
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+ | No log | 0.6667 | 4 | 0.6041 | 0.4521 | 0.6041 |
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+ | No log | 1.0 | 6 | 0.5933 | 0.4048 | 0.5933 |
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+ | No log | 1.3333 | 8 | 0.6033 | 0.4186 | 0.6033 |
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+ | No log | 1.6667 | 10 | 0.4045 | 0.5380 | 0.4045 |
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+ | No log | 2.0 | 12 | 0.4962 | 0.5370 | 0.4962 |
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+ | No log | 2.3333 | 14 | 0.4729 | 0.5380 | 0.4729 |
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+ | No log | 2.6667 | 16 | 0.4672 | 0.4643 | 0.4672 |
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+ | No log | 3.0 | 18 | 0.5466 | 0.4421 | 0.5466 |
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+ | No log | 3.3333 | 20 | 0.6361 | 0.4508 | 0.6361 |
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+ | No log | 3.6667 | 22 | 0.4635 | 0.4421 | 0.4635 |
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+ | No log | 4.0 | 24 | 0.3643 | 0.6 | 0.3643 |
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+ | No log | 4.3333 | 26 | 0.3664 | 0.6237 | 0.3664 |
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+ | No log | 4.6667 | 28 | 0.3535 | 0.6 | 0.3535 |
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+ | No log | 5.0 | 30 | 0.3681 | 0.5545 | 0.3681 |
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+ | No log | 5.3333 | 32 | 0.3906 | 0.5327 | 0.3906 |
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+ | No log | 5.6667 | 34 | 0.3676 | 0.5327 | 0.3676 |
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+ | No log | 6.0 | 36 | 0.3373 | 0.6 | 0.3373 |
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+ | No log | 6.3333 | 38 | 0.3425 | 0.6324 | 0.3425 |
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+ | No log | 6.6667 | 40 | 0.3594 | 0.5960 | 0.3594 |
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+ | No log | 7.0 | 42 | 0.3550 | 0.6 | 0.3550 |
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+ | No log | 7.3333 | 44 | 0.3547 | 0.5874 | 0.3547 |
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+ | No log | 7.6667 | 46 | 0.3761 | 0.5726 | 0.3761 |
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+ | No log | 8.0 | 48 | 0.3915 | 0.5726 | 0.3915 |
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+ | No log | 8.3333 | 50 | 0.3777 | 0.5726 | 0.3777 |
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+ | No log | 8.6667 | 52 | 0.3558 | 0.5642 | 0.3558 |
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+ | No log | 9.0 | 54 | 0.3383 | 0.5874 | 0.3383 |
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+ | No log | 9.3333 | 56 | 0.3286 | 0.6 | 0.3286 |
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+ | No log | 9.6667 | 58 | 0.3263 | 0.6 | 0.3263 |
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+ | No log | 10.0 | 60 | 0.3255 | 0.6 | 0.3255 |
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  ### Framework versions