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arabert_cross_vocabulary_task7_fold3

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  1. README.md +36 -35
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_cross_vocabulary_task7_fold2
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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_cross_vocabulary_task7_fold2
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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: 0.7372
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  - Qwk: 0.0
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- - Mse: 0.7250
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  ## Model description
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@@ -47,37 +47,38 @@ 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 | 0.0317 | 2 | 3.4222 | 0.0005 | 3.4448 |
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- | No log | 0.0635 | 4 | 0.8344 | -0.0075 | 0.8385 |
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- | No log | 0.0952 | 6 | 0.6004 | 0.0456 | 0.5963 |
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- | No log | 0.1270 | 8 | 0.5812 | -0.0227 | 0.5744 |
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- | No log | 0.1587 | 10 | 0.6585 | 0.0 | 0.6498 |
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- | No log | 0.1905 | 12 | 0.6873 | 0.0 | 0.6781 |
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- | No log | 0.2222 | 14 | 0.6603 | 0.0 | 0.6514 |
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- | No log | 0.2540 | 16 | 0.5985 | -0.0496 | 0.5919 |
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- | No log | 0.2857 | 18 | 0.5749 | -0.0344 | 0.5697 |
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- | No log | 0.3175 | 20 | 0.5691 | -0.0546 | 0.5649 |
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- | No log | 0.3492 | 22 | 0.5753 | -0.0344 | 0.5700 |
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- | No log | 0.3810 | 24 | 0.6027 | -0.0886 | 0.5953 |
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- | No log | 0.4127 | 26 | 0.6013 | -0.0886 | 0.5936 |
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- | No log | 0.4444 | 28 | 0.6360 | -0.0252 | 0.6265 |
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- | No log | 0.4762 | 30 | 0.6499 | -0.0252 | 0.6399 |
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- | No log | 0.5079 | 32 | 0.7649 | 0.0 | 0.7525 |
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- | No log | 0.5397 | 34 | 0.8350 | 0.0 | 0.8221 |
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- | No log | 0.5714 | 36 | 0.8330 | 0.0 | 0.8214 |
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- | No log | 0.6032 | 38 | 0.7620 | 0.0 | 0.7524 |
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- | No log | 0.6349 | 40 | 0.7292 | 0.0 | 0.7198 |
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- | No log | 0.6667 | 42 | 0.6967 | 0.0 | 0.6875 |
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- | No log | 0.6984 | 44 | 0.7020 | 0.0 | 0.6922 |
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- | No log | 0.7302 | 46 | 0.7157 | 0.0 | 0.7048 |
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- | No log | 0.7619 | 48 | 0.7198 | 0.0 | 0.7083 |
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- | No log | 0.7937 | 50 | 0.6970 | 0.0 | 0.6856 |
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- | No log | 0.8254 | 52 | 0.6743 | 0.0 | 0.6632 |
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- | No log | 0.8571 | 54 | 0.6647 | 0.0 | 0.6537 |
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- | No log | 0.8889 | 56 | 0.6819 | 0.0 | 0.6706 |
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- | No log | 0.9206 | 58 | 0.7064 | 0.0 | 0.6946 |
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- | No log | 0.9524 | 60 | 0.7251 | 0.0 | 0.7130 |
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- | No log | 0.9841 | 62 | 0.7372 | 0.0 | 0.7250 |
 
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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_cross_vocabulary_task7_fold3
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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_cross_vocabulary_task7_fold3
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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: 0.7581
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  - Qwk: 0.0
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+ - Mse: 0.7581
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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 | 0.0308 | 2 | 7.8306 | -0.0005 | 7.8306 |
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+ | No log | 0.0615 | 4 | 4.1936 | 0.0 | 4.1936 |
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+ | No log | 0.0923 | 6 | 2.0851 | 0.0593 | 2.0851 |
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+ | No log | 0.1231 | 8 | 1.2404 | 0.0 | 1.2404 |
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+ | No log | 0.1538 | 10 | 0.8586 | 0.0093 | 0.8586 |
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+ | No log | 0.1846 | 12 | 0.7508 | 0.0707 | 0.7508 |
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+ | No log | 0.2154 | 14 | 0.7356 | 0.0372 | 0.7356 |
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+ | No log | 0.2462 | 16 | 0.8138 | 0.1082 | 0.8138 |
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+ | No log | 0.2769 | 18 | 0.9262 | -0.0080 | 0.9262 |
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+ | No log | 0.3077 | 20 | 0.8710 | -0.0045 | 0.8710 |
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+ | No log | 0.3385 | 22 | 0.7502 | -0.0408 | 0.7502 |
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+ | No log | 0.3692 | 24 | 0.7389 | 0.0 | 0.7389 |
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+ | No log | 0.4 | 26 | 0.7855 | 0.0 | 0.7855 |
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+ | No log | 0.4308 | 28 | 0.7754 | 0.0 | 0.7754 |
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+ | No log | 0.4615 | 30 | 0.7485 | 0.0 | 0.7485 |
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+ | No log | 0.4923 | 32 | 0.7451 | 0.0 | 0.7451 |
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+ | No log | 0.5231 | 34 | 0.7615 | 0.0 | 0.7615 |
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+ | No log | 0.5538 | 36 | 0.7804 | 0.0 | 0.7804 |
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+ | No log | 0.5846 | 38 | 0.7731 | 0.0 | 0.7731 |
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+ | No log | 0.6154 | 40 | 0.7812 | 0.0 | 0.7812 |
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+ | No log | 0.6462 | 42 | 0.8026 | 0.0 | 0.8026 |
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+ | No log | 0.6769 | 44 | 0.8454 | 0.0 | 0.8454 |
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+ | No log | 0.7077 | 46 | 0.8541 | 0.0 | 0.8541 |
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+ | No log | 0.7385 | 48 | 0.8250 | 0.0 | 0.8250 |
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+ | No log | 0.7692 | 50 | 0.8021 | 0.0 | 0.8021 |
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+ | No log | 0.8 | 52 | 0.7828 | 0.0 | 0.7828 |
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+ | No log | 0.8308 | 54 | 0.7701 | 0.0 | 0.7701 |
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+ | No log | 0.8615 | 56 | 0.7633 | 0.0 | 0.7633 |
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+ | No log | 0.8923 | 58 | 0.7561 | 0.0 | 0.7561 |
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+ | No log | 0.9231 | 60 | 0.7554 | 0.0 | 0.7554 |
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+ | No log | 0.9538 | 62 | 0.7563 | 0.0 | 0.7563 |
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+ | No log | 0.9846 | 64 | 0.7581 | 0.0 | 0.7581 |
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  ### Framework versions