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End of training

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  1. README.md +21 -21
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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_relevance_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_relevance_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: 0.2326
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  - Qwk: 0.0
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- - Mse: 0.2326
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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 | 0.5604 | -0.0845 | 0.5490 |
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- | No log | 1.3333 | 4 | 0.4316 | 0.0000 | 0.4136 |
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- | No log | 2.0 | 6 | 0.4602 | -0.1579 | 0.4699 |
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- | No log | 2.6667 | 8 | 0.2569 | 0.0294 | 0.2631 |
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- | No log | 3.3333 | 10 | 0.2323 | 0.0 | 0.2316 |
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- | No log | 4.0 | 12 | 0.3209 | 0.0 | 0.3171 |
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- | No log | 4.6667 | 14 | 0.2901 | 0.0 | 0.2877 |
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- | No log | 5.3333 | 16 | 0.2432 | 0.0 | 0.2433 |
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- | No log | 6.0 | 18 | 0.2222 | 0.0 | 0.2222 |
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- | No log | 6.6667 | 20 | 0.2264 | 0.0 | 0.2257 |
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- | No log | 7.3333 | 22 | 0.2342 | 0.0 | 0.2329 |
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- | No log | 8.0 | 24 | 0.2393 | 0.0 | 0.2375 |
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- | No log | 8.6667 | 26 | 0.2361 | 0.0 | 0.2351 |
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- | No log | 9.3333 | 28 | 0.2342 | 0.0 | 0.2338 |
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- | No log | 10.0 | 30 | 0.2326 | 0.0 | 0.2326 |
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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_relevance_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_relevance_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: 0.4533
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  - Qwk: 0.0
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+ - Mse: 0.4662
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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 | 0.5670 | 0.0237 | 0.5557 |
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+ | No log | 1.3333 | 4 | 0.2239 | 0.0 | 0.2180 |
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+ | No log | 2.0 | 6 | 0.2912 | 0.0 | 0.2878 |
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+ | No log | 2.6667 | 8 | 0.3225 | 0.0 | 0.3205 |
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+ | No log | 3.3333 | 10 | 0.3274 | 0.0 | 0.3276 |
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+ | No log | 4.0 | 12 | 0.3260 | 0.0 | 0.3295 |
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+ | No log | 4.6667 | 14 | 0.3269 | 0.0 | 0.3323 |
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+ | No log | 5.3333 | 16 | 0.3627 | 0.0 | 0.3697 |
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+ | No log | 6.0 | 18 | 0.3851 | 0.0 | 0.3932 |
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+ | No log | 6.6667 | 20 | 0.3452 | 0.0 | 0.3543 |
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+ | No log | 7.3333 | 22 | 0.3589 | 0.0 | 0.3692 |
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+ | No log | 8.0 | 24 | 0.3714 | 0.0 | 0.3825 |
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+ | No log | 8.6667 | 26 | 0.4113 | 0.0 | 0.4233 |
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+ | No log | 9.3333 | 28 | 0.4400 | 0.0 | 0.4526 |
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+ | No log | 10.0 | 30 | 0.4533 | 0.0 | 0.4662 |
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  ### Framework versions