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arabert_baseline_vocabulary_task3_fold1

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  1. README.md +22 -22
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_task3_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_task3_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: 0.7079
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- - Qwk: 0.0222
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- - Mse: 0.6865
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  ## Model description
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@@ -45,23 +45,23 @@ 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 | 0.6667 | 2 | 4.5600 | -0.0382 | 4.4780 |
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- | No log | 1.3333 | 4 | 1.9301 | -0.1611 | 1.8653 |
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- | No log | 2.0 | 6 | 1.6014 | -0.1987 | 1.5679 |
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- | No log | 2.6667 | 8 | 0.9403 | 0.0222 | 0.9126 |
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- | No log | 3.3333 | 10 | 0.9340 | 0.0222 | 0.9239 |
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- | No log | 4.0 | 12 | 1.2406 | 0.1895 | 1.2359 |
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- | No log | 4.6667 | 14 | 0.7820 | 0.0222 | 0.7685 |
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- | No log | 5.3333 | 16 | 0.6609 | -0.0476 | 0.6329 |
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- | No log | 6.0 | 18 | 0.6633 | 0.2524 | 0.6395 |
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- | No log | 6.6667 | 20 | 0.8454 | 0.0 | 0.8291 |
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- | No log | 7.3333 | 22 | 0.9897 | 0.0 | 0.9771 |
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- | No log | 8.0 | 24 | 0.9105 | 0.0 | 0.8961 |
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- | No log | 8.6667 | 26 | 0.7687 | 0.0 | 0.7499 |
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- | No log | 9.3333 | 28 | 0.7158 | 0.0222 | 0.6948 |
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- | No log | 10.0 | 30 | 0.7079 | 0.0222 | 0.6865 |
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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_task3_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_task3_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: 0.2325
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+ - Qwk: 0.2857
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+ - Mse: 0.2437
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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 | 0.6667 | 2 | 3.6484 | 0.0328 | 3.6411 |
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+ | No log | 1.3333 | 4 | 1.3150 | 0.0541 | 1.3226 |
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+ | No log | 2.0 | 6 | 0.2810 | 0.0 | 0.2941 |
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+ | No log | 2.6667 | 8 | 0.2059 | 0.0 | 0.2199 |
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+ | No log | 3.3333 | 10 | 0.2435 | 0.0 | 0.2582 |
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+ | No log | 4.0 | 12 | 0.2557 | 0.0 | 0.2715 |
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+ | No log | 4.6667 | 14 | 0.2138 | 0.0 | 0.2290 |
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+ | No log | 5.3333 | 16 | 0.2031 | 0.0 | 0.2168 |
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+ | No log | 6.0 | 18 | 0.2284 | 0.0 | 0.2412 |
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+ | No log | 6.6667 | 20 | 0.2060 | 0.2857 | 0.2178 |
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+ | No log | 7.3333 | 22 | 0.2168 | 0.2857 | 0.2280 |
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+ | No log | 8.0 | 24 | 0.2244 | 0.2857 | 0.2354 |
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+ | No log | 8.6667 | 26 | 0.2313 | 0.2857 | 0.2422 |
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+ | No log | 9.3333 | 28 | 0.2311 | 0.2857 | 0.2422 |
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+ | No log | 10.0 | 30 | 0.2325 | 0.2857 | 0.2437 |
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  ### Framework versions