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arabert_baseline_development_task2_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_development_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_development_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: 0.4592
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- - Qwk: 0.2794
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- - Mse: 0.4600
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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 | 5.4721 | -0.0129 | 5.4748 |
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- | No log | 0.6667 | 4 | 2.5151 | 0.0507 | 2.5239 |
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- | No log | 1.0 | 6 | 1.3235 | 0.0123 | 1.3253 |
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- | No log | 1.3333 | 8 | 0.6015 | 0.0645 | 0.6018 |
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- | No log | 1.6667 | 10 | 0.5523 | 0.1695 | 0.5523 |
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- | No log | 2.0 | 12 | 0.6138 | -0.0138 | 0.6123 |
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- | No log | 2.3333 | 14 | 0.6765 | 0.0331 | 0.6760 |
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- | No log | 2.6667 | 16 | 0.8075 | 0.0645 | 0.8118 |
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- | No log | 3.0 | 18 | 1.2170 | 0.0000 | 1.2213 |
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- | No log | 3.3333 | 20 | 0.9705 | 0.1348 | 0.9751 |
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- | No log | 3.6667 | 22 | 0.5286 | 0.2674 | 0.5292 |
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- | No log | 4.0 | 24 | 0.5438 | 0.1600 | 0.5431 |
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- | No log | 4.3333 | 26 | 0.5876 | 0.0 | 0.5872 |
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- | No log | 4.6667 | 28 | 0.5812 | 0.0 | 0.5809 |
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- | No log | 5.0 | 30 | 0.5243 | 0.1600 | 0.5239 |
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- | No log | 5.3333 | 32 | 0.4585 | 0.2794 | 0.4579 |
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- | No log | 5.6667 | 34 | 0.4400 | 0.2699 | 0.4394 |
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- | No log | 6.0 | 36 | 0.5014 | 0.2581 | 0.5003 |
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- | No log | 6.3333 | 38 | 0.5619 | 0.1947 | 0.5601 |
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- | No log | 6.6667 | 40 | 0.5416 | 0.1947 | 0.5393 |
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- | No log | 7.0 | 42 | 0.5359 | 0.1947 | 0.5336 |
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- | No log | 7.3333 | 44 | 0.5271 | 0.1947 | 0.5250 |
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- | No log | 7.6667 | 46 | 0.4913 | 0.2596 | 0.4901 |
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- | No log | 8.0 | 48 | 0.4604 | 0.2674 | 0.4603 |
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- | No log | 8.3333 | 50 | 0.4564 | 0.2794 | 0.4567 |
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- | No log | 8.6667 | 52 | 0.4600 | 0.2794 | 0.4606 |
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- | No log | 9.0 | 54 | 0.4613 | 0.2794 | 0.4620 |
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- | No log | 9.3333 | 56 | 0.4606 | 0.2794 | 0.4614 |
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- | No log | 9.6667 | 58 | 0.4598 | 0.2794 | 0.4606 |
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- | No log | 10.0 | 60 | 0.4592 | 0.2794 | 0.4600 |
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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_task2_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_task2_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: 0.5447
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+ - Qwk: 0.4714
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+ - Mse: 0.5518
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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 | 3.5280 | -0.0028 | 3.6293 |
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+ | No log | 0.6667 | 4 | 1.1366 | 0.0251 | 1.1880 |
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+ | No log | 1.0 | 6 | 0.4107 | 0.0 | 0.4259 |
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+ | No log | 1.3333 | 8 | 0.4662 | 0.1765 | 0.4494 |
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+ | No log | 1.6667 | 10 | 0.3079 | 0.2075 | 0.3114 |
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+ | No log | 2.0 | 12 | 0.2932 | 0.4101 | 0.2962 |
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+ | No log | 2.3333 | 14 | 0.3202 | 0.1525 | 0.3155 |
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+ | No log | 2.6667 | 16 | 0.4604 | 0.2410 | 0.4445 |
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+ | No log | 3.0 | 18 | 0.3972 | 0.1765 | 0.3866 |
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+ | No log | 3.3333 | 20 | 0.2887 | 0.1356 | 0.2966 |
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+ | No log | 3.6667 | 22 | 0.3203 | 0.1907 | 0.3343 |
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+ | No log | 4.0 | 24 | 0.3286 | 0.3453 | 0.3381 |
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+ | No log | 4.3333 | 26 | 0.4544 | 0.1674 | 0.4506 |
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+ | No log | 4.6667 | 28 | 0.5203 | 0.1674 | 0.5108 |
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+ | No log | 5.0 | 30 | 0.4560 | 0.4453 | 0.4535 |
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+ | No log | 5.3333 | 32 | 0.4023 | 0.4457 | 0.4083 |
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+ | No log | 5.6667 | 34 | 0.3835 | 0.3453 | 0.3956 |
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+ | No log | 6.0 | 36 | 0.4165 | 0.4231 | 0.4249 |
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+ | No log | 6.3333 | 38 | 0.5295 | 0.4152 | 0.5286 |
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+ | No log | 6.6667 | 40 | 0.6129 | 0.2759 | 0.6063 |
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+ | No log | 7.0 | 42 | 0.6169 | 0.2759 | 0.6109 |
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+ | No log | 7.3333 | 44 | 0.5387 | 0.3971 | 0.5393 |
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+ | No log | 7.6667 | 46 | 0.4830 | 0.3913 | 0.4895 |
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+ | No log | 8.0 | 48 | 0.4890 | 0.3695 | 0.4962 |
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+ | No log | 8.3333 | 50 | 0.5286 | 0.4714 | 0.5334 |
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+ | No log | 8.6667 | 52 | 0.5656 | 0.3971 | 0.5690 |
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+ | No log | 9.0 | 54 | 0.5673 | 0.4714 | 0.5716 |
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+ | No log | 9.3333 | 56 | 0.5533 | 0.4714 | 0.5593 |
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+ | No log | 9.6667 | 58 | 0.5477 | 0.4714 | 0.5545 |
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+ | No log | 10.0 | 60 | 0.5447 | 0.4714 | 0.5518 |
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  ### Framework versions