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arabert_baseline_vocabulary_task7_fold0

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  1. README.md +37 -27
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_vocabulary_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_vocabulary_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: 0.4086
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- - Qwk: 0.7322
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- - Mse: 0.4086
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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 | 1.1281 | 0.0558 | 1.1281 |
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- | No log | 1.0 | 4 | 0.6605 | 0.4309 | 0.6605 |
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- | No log | 1.5 | 6 | 0.8109 | 0.4615 | 0.8109 |
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- | No log | 2.0 | 8 | 0.8404 | 0.3450 | 0.8404 |
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- | No log | 2.5 | 10 | 0.7598 | 0.3277 | 0.7598 |
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- | No log | 3.0 | 12 | 0.4728 | 0.4717 | 0.4728 |
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- | No log | 3.5 | 14 | 0.4115 | 0.5238 | 0.4115 |
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- | No log | 4.0 | 16 | 0.4736 | 0.7219 | 0.4736 |
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- | No log | 4.5 | 18 | 0.4966 | 0.7135 | 0.4966 |
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- | No log | 5.0 | 20 | 0.4737 | 0.6595 | 0.4737 |
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- | No log | 5.5 | 22 | 0.4965 | 0.6595 | 0.4965 |
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- | No log | 6.0 | 24 | 0.4565 | 0.7068 | 0.4565 |
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- | No log | 6.5 | 26 | 0.5170 | 0.6595 | 0.5170 |
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- | No log | 7.0 | 28 | 0.4977 | 0.6595 | 0.4977 |
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- | No log | 7.5 | 30 | 0.4286 | 0.7322 | 0.4286 |
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- | No log | 8.0 | 32 | 0.3945 | 0.7778 | 0.3945 |
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- | No log | 8.5 | 34 | 0.3857 | 0.7778 | 0.3857 |
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- | No log | 9.0 | 36 | 0.3903 | 0.7778 | 0.3903 |
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- | No log | 9.5 | 38 | 0.4015 | 0.7778 | 0.4015 |
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- | No log | 10.0 | 40 | 0.4086 | 0.7322 | 0.4086 |
 
 
 
 
 
 
 
 
 
 
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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_vocabulary_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_vocabulary_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: 0.3528
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+ - Qwk: 0.6935
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+ - Mse: 0.3528
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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 | 1.5791 | 0.0862 | 1.5791 |
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+ | No log | 0.6667 | 4 | 0.7772 | 0.4706 | 0.7772 |
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+ | No log | 1.0 | 6 | 0.7965 | 0.4532 | 0.7965 |
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+ | No log | 1.3333 | 8 | 0.6398 | 0.4532 | 0.6398 |
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+ | No log | 1.6667 | 10 | 0.3283 | 0.6814 | 0.3283 |
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+ | No log | 2.0 | 12 | 0.3264 | 0.6814 | 0.3264 |
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+ | No log | 2.3333 | 14 | 0.5269 | 0.5702 | 0.5269 |
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+ | No log | 2.6667 | 16 | 0.5821 | 0.4880 | 0.5821 |
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+ | No log | 3.0 | 18 | 0.5634 | 0.4918 | 0.5634 |
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+ | No log | 3.3333 | 20 | 0.3969 | 0.6316 | 0.3969 |
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+ | No log | 3.6667 | 22 | 0.3136 | 0.6792 | 0.3136 |
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+ | No log | 4.0 | 24 | 0.3010 | 0.7265 | 0.3010 |
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+ | No log | 4.3333 | 26 | 0.3722 | 0.6850 | 0.3722 |
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+ | No log | 4.6667 | 28 | 0.5081 | 0.6769 | 0.5081 |
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+ | No log | 5.0 | 30 | 0.5267 | 0.6788 | 0.5267 |
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+ | No log | 5.3333 | 32 | 0.4329 | 0.6935 | 0.4329 |
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+ | No log | 5.6667 | 34 | 0.2874 | 0.7797 | 0.2874 |
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+ | No log | 6.0 | 36 | 0.2708 | 0.7797 | 0.2708 |
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+ | No log | 6.3333 | 38 | 0.2866 | 0.7797 | 0.2866 |
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+ | No log | 6.6667 | 40 | 0.3412 | 0.7355 | 0.3412 |
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+ | No log | 7.0 | 42 | 0.4474 | 0.6935 | 0.4474 |
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+ | No log | 7.3333 | 44 | 0.4536 | 0.6947 | 0.4536 |
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+ | No log | 7.6667 | 46 | 0.3805 | 0.6935 | 0.3805 |
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+ | No log | 8.0 | 48 | 0.3311 | 0.7355 | 0.3311 |
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+ | No log | 8.3333 | 50 | 0.3056 | 0.7797 | 0.3056 |
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+ | No log | 8.6667 | 52 | 0.3214 | 0.7355 | 0.3214 |
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+ | No log | 9.0 | 54 | 0.3432 | 0.6935 | 0.3432 |
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+ | No log | 9.3333 | 56 | 0.3493 | 0.6935 | 0.3493 |
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+ | No log | 9.6667 | 58 | 0.3560 | 0.6935 | 0.3560 |
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+ | No log | 10.0 | 60 | 0.3528 | 0.6935 | 0.3528 |
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  ### Framework versions