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arabert_baseline_grammar_task8_fold0

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  1. README.md +25 -25
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_mechanics_task8_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_mechanics_task8_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: 0.5999
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- - Qwk: 0.7490
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- - Mse: 0.5999
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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 | 1.4400 | 0.2581 | 1.4400 |
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- | No log | 1.0 | 4 | 1.3435 | 0.3959 | 1.3435 |
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- | No log | 1.5 | 6 | 0.7948 | 0.6199 | 0.7948 |
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- | No log | 2.0 | 8 | 0.8359 | 0.5911 | 0.8359 |
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- | No log | 2.5 | 10 | 0.5994 | 0.5641 | 0.5994 |
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- | No log | 3.0 | 12 | 0.5724 | 0.7742 | 0.5724 |
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- | No log | 3.5 | 14 | 0.5128 | 0.7153 | 0.5128 |
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- | No log | 4.0 | 16 | 0.5177 | 0.7153 | 0.5177 |
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- | No log | 4.5 | 18 | 0.5100 | 0.7153 | 0.5100 |
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- | No log | 5.0 | 20 | 0.5127 | 0.6784 | 0.5127 |
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- | No log | 5.5 | 22 | 0.5088 | 0.6854 | 0.5088 |
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- | No log | 6.0 | 24 | 0.5211 | 0.7490 | 0.5211 |
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- | No log | 6.5 | 26 | 0.5074 | 0.6784 | 0.5074 |
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- | No log | 7.0 | 28 | 0.5120 | 0.6784 | 0.5120 |
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- | No log | 7.5 | 30 | 0.5312 | 0.7871 | 0.5312 |
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- | No log | 8.0 | 32 | 0.5850 | 0.7871 | 0.5850 |
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- | No log | 8.5 | 34 | 0.6173 | 0.7586 | 0.6173 |
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- | No log | 9.0 | 36 | 0.6118 | 0.7586 | 0.6118 |
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- | No log | 9.5 | 38 | 0.6068 | 0.7449 | 0.6068 |
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- | No log | 10.0 | 40 | 0.5999 | 0.7490 | 0.5999 |
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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_task8_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_grammar_task8_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: 0.5087
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+ - Qwk: 0.6725
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+ - Mse: 0.5087
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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 | 2.2317 | 0.0 | 2.2317 |
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+ | No log | 1.0 | 4 | 1.4866 | 0.2297 | 1.4866 |
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+ | No log | 1.5 | 6 | 1.0270 | 0.5643 | 1.0270 |
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+ | No log | 2.0 | 8 | 1.1388 | 0.4074 | 1.1388 |
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+ | No log | 2.5 | 10 | 1.0946 | 0.4074 | 1.0946 |
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+ | No log | 3.0 | 12 | 0.5591 | 0.6159 | 0.5591 |
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+ | No log | 3.5 | 14 | 0.5042 | 0.6216 | 0.5042 |
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+ | No log | 4.0 | 16 | 0.4874 | 0.6585 | 0.4874 |
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+ | No log | 4.5 | 18 | 0.5862 | 0.6053 | 0.5862 |
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+ | No log | 5.0 | 20 | 0.7098 | 0.5549 | 0.7098 |
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+ | No log | 5.5 | 22 | 0.6879 | 0.5549 | 0.6879 |
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+ | No log | 6.0 | 24 | 0.5641 | 0.6053 | 0.5641 |
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+ | No log | 6.5 | 26 | 0.5895 | 0.6725 | 0.5895 |
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+ | No log | 7.0 | 28 | 0.6417 | 0.6211 | 0.6417 |
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+ | No log | 7.5 | 30 | 0.7537 | 0.6211 | 0.7537 |
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+ | No log | 8.0 | 32 | 0.6776 | 0.6211 | 0.6776 |
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+ | No log | 8.5 | 34 | 0.6081 | 0.6211 | 0.6081 |
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+ | No log | 9.0 | 36 | 0.5508 | 0.6725 | 0.5508 |
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+ | No log | 9.5 | 38 | 0.5104 | 0.6725 | 0.5104 |
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+ | No log | 10.0 | 40 | 0.5087 | 0.6725 | 0.5087 |
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  ### Framework versions