End of training
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README.md
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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:
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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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#
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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.
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- Qwk: 0.
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- Mse: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk
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| No log | 0.5 | 2 | 1.
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| No log | 1.0 | 4 | 0.
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| No log | 1.5 | 6 |
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| No log | 2.0 | 8 |
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| No log | 2.5 | 10 | 0.
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| No log | 3.0 | 12 | 0.
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| No log | 3.5 | 14 | 0.
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| No log | 4.0 | 16 | 0.
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| No log | 4.5 | 18 | 0.
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| No log | 5.0 | 20 | 0.
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| No log | 5.5 | 22 |
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| No log | 6.0 | 24 | 0.
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| No log | 6.5 | 26 | 0.
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| No log | 7.0 | 28 | 0.
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| No log | 7.5 | 30 | 0.
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| No log | 8.0 | 32 | 0.
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| No log | 8.5 | 34 | 0.
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| No log | 9.0 | 36 | 0.
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| No log | 9.5 | 38 | 0.
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| No log | 10.0 | 40 | 0.
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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_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_grammar_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: 0.7851
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- Qwk: 0.7296
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- Mse: 0.7851
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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 | 0.5 | 2 | 1.4135 | -0.0678 | 1.4135 |
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| No log | 1.0 | 4 | 0.9828 | 0.5032 | 0.9828 |
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| No log | 1.5 | 6 | 1.1603 | 0.3288 | 1.1603 |
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| No log | 2.0 | 8 | 1.0440 | 0.2036 | 1.0440 |
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| No log | 2.5 | 10 | 0.8854 | 0.2383 | 0.8854 |
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| No log | 3.0 | 12 | 0.7492 | 0.4348 | 0.7492 |
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| No log | 3.5 | 14 | 0.7513 | 0.4348 | 0.7513 |
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| No log | 4.0 | 16 | 0.8038 | 0.6500 | 0.8038 |
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| No log | 4.5 | 18 | 0.8093 | 0.6500 | 0.8093 |
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| No log | 5.0 | 20 | 0.8924 | 0.6847 | 0.8924 |
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| No log | 5.5 | 22 | 1.0282 | 0.6805 | 1.0282 |
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| No log | 6.0 | 24 | 0.9757 | 0.7296 | 0.9757 |
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| No log | 6.5 | 26 | 0.9823 | 0.7296 | 0.9823 |
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| No log | 7.0 | 28 | 0.9823 | 0.6957 | 0.9823 |
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| No log | 7.5 | 30 | 0.8153 | 0.7296 | 0.8153 |
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| No log | 8.0 | 32 | 0.7571 | 0.6192 | 0.7571 |
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| No log | 8.5 | 34 | 0.7411 | 0.7014 | 0.7411 |
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| No log | 9.0 | 36 | 0.7685 | 0.7296 | 0.7685 |
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| No log | 9.5 | 38 | 0.7773 | 0.7296 | 0.7773 |
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| No log | 10.0 | 40 | 0.7851 | 0.7296 | 0.7851 |
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### Framework versions
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