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End of training

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  1. README.md +15 -15
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_grammar_task4_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_grammar_task4_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: 0.6477
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- - Qwk: 0.6444
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- - Mse: 0.6477
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  ## Model description
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@@ -47,16 +47,16 @@ 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 | 1.0 | 2 | 4.0821 | -0.0566 | 4.0821 |
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- | No log | 2.0 | 4 | 1.6697 | 0.0280 | 1.6697 |
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- | No log | 3.0 | 6 | 0.7789 | 0.1111 | 0.7789 |
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- | No log | 4.0 | 8 | 0.6611 | 0.5676 | 0.6611 |
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- | No log | 5.0 | 10 | 0.7191 | 0.2258 | 0.7191 |
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- | No log | 6.0 | 12 | 0.6926 | 0.6471 | 0.6926 |
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- | No log | 7.0 | 14 | 0.6832 | 0.6471 | 0.6832 |
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- | No log | 8.0 | 16 | 0.6535 | 0.6444 | 0.6535 |
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- | No log | 9.0 | 18 | 0.6491 | 0.6444 | 0.6491 |
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- | No log | 10.0 | 20 | 0.6477 | 0.6444 | 0.6477 |
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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_grammar_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_grammar_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: 0.1910
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+ - Qwk: 0.0
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+ - Mse: 0.1910
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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 | 1.0 | 2 | 4.4310 | 0.0 | 4.4310 |
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+ | No log | 2.0 | 4 | 3.0289 | 0.0 | 3.0289 |
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+ | No log | 3.0 | 6 | 2.1305 | 0.0088 | 2.1305 |
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+ | No log | 4.0 | 8 | 1.3469 | 0.0 | 1.3469 |
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+ | No log | 5.0 | 10 | 0.6404 | 0.0 | 0.6404 |
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+ | No log | 6.0 | 12 | 0.3694 | -0.1000 | 0.3694 |
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+ | No log | 7.0 | 14 | 0.2252 | 0.0 | 0.2252 |
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+ | No log | 8.0 | 16 | 0.1814 | 0.0 | 0.1814 |
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+ | No log | 9.0 | 18 | 0.1877 | 0.0 | 0.1877 |
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+ | No log | 10.0 | 20 | 0.1910 | 0.0 | 0.1910 |
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  ### Framework versions