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arabert_baseline_development_task5_fold0

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  1. README.md +37 -17
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_development_task4_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_task4_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: 0.8082
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- - Qwk: 0.0
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- - Mse: 0.8082
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  ## Model description
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@@ -45,18 +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 | 1.0 | 2 | 4.0751 | 0.0 | 4.0751 |
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- | No log | 2.0 | 4 | 2.8112 | 0.0 | 2.8112 |
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- | No log | 3.0 | 6 | 2.1818 | -0.0137 | 2.1818 |
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- | No log | 4.0 | 8 | 1.7217 | 0.0 | 1.7217 |
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- | No log | 5.0 | 10 | 1.0766 | 0.0 | 1.0766 |
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- | No log | 6.0 | 12 | 0.8885 | 0.0 | 0.8885 |
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- | No log | 7.0 | 14 | 0.8569 | -0.2121 | 0.8569 |
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- | No log | 8.0 | 16 | 0.8603 | 0.0 | 0.8603 |
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- | No log | 9.0 | 18 | 0.8317 | 0.0 | 0.8317 |
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- | No log | 10.0 | 20 | 0.8082 | 0.0 | 0.8082 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_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_development_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: 1.0419
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+ - Qwk: 0.5183
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+ - Mse: 1.0419
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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 | 1.6380 | 0.0929 | 1.6380 |
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+ | No log | 0.6667 | 4 | 1.5106 | 0.0 | 1.5106 |
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+ | No log | 1.0 | 6 | 1.3471 | 0.0 | 1.3471 |
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+ | No log | 1.3333 | 8 | 1.2335 | 0.0 | 1.2335 |
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+ | No log | 1.6667 | 10 | 1.2261 | 0.1576 | 1.2261 |
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+ | No log | 2.0 | 12 | 1.2476 | 0.2560 | 1.2476 |
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+ | No log | 2.3333 | 14 | 1.2739 | 0.2628 | 1.2739 |
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+ | No log | 2.6667 | 16 | 1.2494 | 0.2628 | 1.2494 |
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+ | No log | 3.0 | 18 | 1.1857 | 0.4062 | 1.1857 |
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+ | No log | 3.3333 | 20 | 1.1005 | 0.3598 | 1.1005 |
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+ | No log | 3.6667 | 22 | 1.1228 | 0.3976 | 1.1228 |
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+ | No log | 4.0 | 24 | 1.0985 | 0.3976 | 1.0985 |
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+ | No log | 4.3333 | 26 | 1.0341 | 0.375 | 1.0341 |
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+ | No log | 4.6667 | 28 | 0.9989 | 0.5789 | 0.9989 |
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+ | No log | 5.0 | 30 | 0.9963 | 0.5789 | 0.9963 |
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+ | No log | 5.3333 | 32 | 0.9852 | 0.5361 | 0.9852 |
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+ | No log | 5.6667 | 34 | 0.9961 | 0.5991 | 0.9961 |
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+ | No log | 6.0 | 36 | 1.0348 | 0.4725 | 1.0348 |
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+ | No log | 6.3333 | 38 | 1.0147 | 0.5238 | 1.0147 |
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+ | No log | 6.6667 | 40 | 1.0123 | 0.5238 | 1.0123 |
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+ | No log | 7.0 | 42 | 0.9900 | 0.5833 | 0.9900 |
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+ | No log | 7.3333 | 44 | 0.9764 | 0.4872 | 0.9764 |
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+ | No log | 7.6667 | 46 | 0.9850 | 0.4872 | 0.9850 |
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+ | No log | 8.0 | 48 | 0.9775 | 0.5327 | 0.9775 |
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+ | No log | 8.3333 | 50 | 0.9860 | 0.5047 | 0.9860 |
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+ | No log | 8.6667 | 52 | 0.9983 | 0.5183 | 0.9983 |
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+ | No log | 9.0 | 54 | 1.0128 | 0.5183 | 1.0128 |
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+ | No log | 9.3333 | 56 | 1.0321 | 0.5183 | 1.0321 |
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+ | No log | 9.6667 | 58 | 1.0407 | 0.5183 | 1.0407 |
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+ | No log | 10.0 | 60 | 1.0419 | 0.5183 | 1.0419 |
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  ### Framework versions