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End of training

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  1. README.md +17 -17
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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_vocabulary_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_vocabulary_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: 1.1529
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- - Qwk: 0.1724
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- - Mse: 1.1529
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  ## Model description
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@@ -45,18 +45,18 @@ 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 | 3.1705 | 0.0704 | 3.1705 |
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- | No log | 2.0 | 4 | 1.2678 | 0.0123 | 1.2678 |
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- | No log | 3.0 | 6 | 0.6681 | 0.1111 | 0.6681 |
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- | No log | 4.0 | 8 | 0.7489 | 0.4839 | 0.7489 |
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- | No log | 5.0 | 10 | 0.9971 | 0.1724 | 0.9971 |
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- | No log | 6.0 | 12 | 1.2195 | 0.1724 | 1.2195 |
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- | No log | 7.0 | 14 | 1.2558 | 0.1724 | 1.2558 |
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- | No log | 8.0 | 16 | 1.1787 | 0.1724 | 1.1787 |
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- | No log | 9.0 | 18 | 1.1576 | 0.1724 | 1.1576 |
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- | No log | 10.0 | 20 | 1.1529 | 0.1724 | 1.1529 |
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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_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_vocabulary_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: 0.8217
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+ - Qwk: 0.0
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+ - Mse: 0.8217
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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 | 1.0 | 2 | 6.2267 | 0.0 | 6.2267 |
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+ | No log | 2.0 | 4 | 4.6025 | 0.0 | 4.6025 |
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+ | No log | 3.0 | 6 | 3.6163 | -0.0400 | 3.6163 |
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+ | No log | 4.0 | 8 | 2.7005 | 0.0 | 2.7005 |
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+ | No log | 5.0 | 10 | 1.7780 | 0.0 | 1.7780 |
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+ | No log | 6.0 | 12 | 1.3775 | -0.0204 | 1.3775 |
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+ | No log | 7.0 | 14 | 1.0431 | 0.0 | 1.0431 |
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+ | No log | 8.0 | 16 | 0.9049 | 0.0 | 0.9049 |
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+ | No log | 9.0 | 18 | 0.8294 | 0.0 | 0.8294 |
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+ | No log | 10.0 | 20 | 0.8217 | 0.0 | 0.8217 |
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  ### Framework versions