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arabert_baseline_development_task6_fold1

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  1. README.md +25 -25
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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_development_task6_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_development_task6_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: 0.7890
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- - Qwk: 0.4503
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- - Mse: 0.7890
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  ## Model description
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@@ -47,26 +47,26 @@ 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 | 0.5 | 2 | 1.5011 | 0.2195 | 1.5011 |
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- | No log | 1.0 | 4 | 1.0235 | 0.3558 | 1.0235 |
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- | No log | 1.5 | 6 | 1.1605 | 0.3913 | 1.1605 |
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- | No log | 2.0 | 8 | 1.0269 | 0.3558 | 1.0269 |
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- | No log | 2.5 | 10 | 0.9070 | 0.3558 | 0.9070 |
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- | No log | 3.0 | 12 | 0.8423 | 0.3913 | 0.8423 |
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- | No log | 3.5 | 14 | 0.7993 | 0.3558 | 0.7993 |
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- | No log | 4.0 | 16 | 0.7964 | 0.4740 | 0.7964 |
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- | No log | 4.5 | 18 | 0.8073 | 0.4740 | 0.8073 |
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- | No log | 5.0 | 20 | 0.8740 | 0.6091 | 0.8740 |
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- | No log | 5.5 | 22 | 0.8159 | 0.6056 | 0.8159 |
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- | No log | 6.0 | 24 | 0.8260 | 0.6056 | 0.8260 |
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- | No log | 6.5 | 26 | 0.8604 | 0.6056 | 0.8604 |
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- | No log | 7.0 | 28 | 0.8853 | 0.6056 | 0.8853 |
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- | No log | 7.5 | 30 | 0.8139 | 0.5172 | 0.8139 |
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- | No log | 8.0 | 32 | 0.7491 | 0.4503 | 0.7491 |
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- | No log | 8.5 | 34 | 0.7564 | 0.4503 | 0.7564 |
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- | No log | 9.0 | 36 | 0.7842 | 0.4503 | 0.7842 |
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- | No log | 9.5 | 38 | 0.7831 | 0.4503 | 0.7831 |
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- | No log | 10.0 | 40 | 0.7890 | 0.4503 | 0.7890 |
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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_development_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_development_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: 0.4958
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+ - Qwk: 0.5513
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+ - Mse: 0.4958
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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 | 0.5 | 2 | 0.8754 | 0.1390 | 0.8754 |
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+ | No log | 1.0 | 4 | 0.7157 | 0.5039 | 0.7157 |
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+ | No log | 1.5 | 6 | 0.6589 | 0.3713 | 0.6589 |
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+ | No log | 2.0 | 8 | 0.8933 | 0.2857 | 0.8933 |
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+ | No log | 2.5 | 10 | 0.4415 | 0.5679 | 0.4415 |
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+ | No log | 3.0 | 12 | 0.7544 | 0.5532 | 0.7544 |
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+ | No log | 3.5 | 14 | 0.6791 | 0.4380 | 0.6791 |
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+ | No log | 4.0 | 16 | 0.5398 | 0.4762 | 0.5398 |
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+ | No log | 4.5 | 18 | 0.5209 | 0.5096 | 0.5209 |
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+ | No log | 5.0 | 20 | 0.5172 | 0.5395 | 0.5172 |
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+ | No log | 5.5 | 22 | 0.6042 | 0.4085 | 0.6042 |
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+ | No log | 6.0 | 24 | 0.6539 | 0.5205 | 0.6539 |
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+ | No log | 6.5 | 26 | 0.6064 | 0.4901 | 0.6064 |
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+ | No log | 7.0 | 28 | 0.5186 | 0.4762 | 0.5186 |
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+ | No log | 7.5 | 30 | 0.4734 | 0.5395 | 0.4734 |
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+ | No log | 8.0 | 32 | 0.4610 | 0.5395 | 0.4610 |
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+ | No log | 8.5 | 34 | 0.4597 | 0.5395 | 0.4597 |
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+ | No log | 9.0 | 36 | 0.4714 | 0.5395 | 0.4714 |
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+ | No log | 9.5 | 38 | 0.4877 | 0.5513 | 0.4877 |
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+ | No log | 10.0 | 40 | 0.4958 | 0.5513 | 0.4958 |
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  ### Framework versions