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arabert_baseline_mechanics_task6_fold0

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  1. README.md +27 -37
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_task5_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_task5_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: 0.6569
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- - Qwk: 0.7179
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- - Mse: 0.6569
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  ## Model description
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@@ -45,38 +45,28 @@ 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 | 0.3333 | 2 | 1.9122 | 0.0290 | 1.9122 |
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- | No log | 0.6667 | 4 | 0.8359 | 0.0 | 0.8359 |
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- | No log | 1.0 | 6 | 0.5865 | 0.3478 | 0.5865 |
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- | No log | 1.3333 | 8 | 0.5525 | 0.1739 | 0.5525 |
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- | No log | 1.6667 | 10 | 0.5082 | 0.25 | 0.5082 |
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- | No log | 2.0 | 12 | 0.5342 | 0.3636 | 0.5342 |
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- | No log | 2.3333 | 14 | 0.5194 | 0.3478 | 0.5194 |
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- | No log | 2.6667 | 16 | 0.5004 | 0.5714 | 0.5004 |
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- | No log | 3.0 | 18 | 0.5279 | 0.4848 | 0.5279 |
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- | No log | 3.3333 | 20 | 0.5491 | 0.4848 | 0.5491 |
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- | No log | 3.6667 | 22 | 0.6345 | 0.6154 | 0.6345 |
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- | No log | 4.0 | 24 | 0.7154 | 0.6111 | 0.7154 |
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- | No log | 4.3333 | 26 | 0.8157 | 0.5882 | 0.8157 |
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- | No log | 4.6667 | 28 | 0.8595 | 0.6667 | 0.8595 |
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- | No log | 5.0 | 30 | 0.7144 | 0.6842 | 0.7144 |
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- | No log | 5.3333 | 32 | 0.6153 | 0.6 | 0.6153 |
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- | No log | 5.6667 | 34 | 0.6974 | 0.6154 | 0.6974 |
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- | No log | 6.0 | 36 | 0.7895 | 0.7 | 0.7895 |
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- | No log | 6.3333 | 38 | 0.8393 | 0.6667 | 0.8393 |
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- | No log | 6.6667 | 40 | 0.8578 | 0.6667 | 0.8578 |
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- | No log | 7.0 | 42 | 0.8027 | 0.6667 | 0.8027 |
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- | No log | 7.3333 | 44 | 0.7182 | 0.6667 | 0.7182 |
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- | No log | 7.6667 | 46 | 0.6647 | 0.6842 | 0.6647 |
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- | No log | 8.0 | 48 | 0.6573 | 0.6 | 0.6573 |
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- | No log | 8.3333 | 50 | 0.6541 | 0.6842 | 0.6541 |
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- | No log | 8.6667 | 52 | 0.6499 | 0.6842 | 0.6499 |
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- | No log | 9.0 | 54 | 0.6477 | 0.7179 | 0.6477 |
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- | No log | 9.3333 | 56 | 0.6501 | 0.7179 | 0.6501 |
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- | No log | 9.6667 | 58 | 0.6545 | 0.7179 | 0.6545 |
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- | No log | 10.0 | 60 | 0.6569 | 0.7179 | 0.6569 |
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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_mechanics_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_mechanics_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: 1.0047
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+ - Qwk: 0.4859
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+ - Mse: 1.0047
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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 | 0.5 | 2 | 1.3188 | 0.1646 | 1.3188 |
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+ | No log | 1.0 | 4 | 0.9104 | 0.3453 | 0.9104 |
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+ | No log | 1.5 | 6 | 0.9681 | 0.3684 | 0.9681 |
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+ | No log | 2.0 | 8 | 0.9649 | 0.3053 | 0.9649 |
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+ | No log | 2.5 | 10 | 0.8511 | 0.3684 | 0.8511 |
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+ | No log | 3.0 | 12 | 0.8161 | 0.3869 | 0.8161 |
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+ | No log | 3.5 | 14 | 0.8312 | 0.5333 | 0.8312 |
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+ | No log | 4.0 | 16 | 1.0768 | 0.4129 | 1.0768 |
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+ | No log | 4.5 | 18 | 1.1227 | 0.4277 | 1.1227 |
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+ | No log | 5.0 | 20 | 1.0800 | 0.4277 | 1.0800 |
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+ | No log | 5.5 | 22 | 0.9594 | 0.5648 | 0.9594 |
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+ | No log | 6.0 | 24 | 0.8494 | 0.4400 | 0.8494 |
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+ | No log | 6.5 | 26 | 0.8298 | 0.4413 | 0.8298 |
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+ | No log | 7.0 | 28 | 0.8737 | 0.4400 | 0.8737 |
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+ | No log | 7.5 | 30 | 0.9941 | 0.6244 | 0.9941 |
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+ | No log | 8.0 | 32 | 1.0585 | 0.5088 | 1.0585 |
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+ | No log | 8.5 | 34 | 1.0554 | 0.5088 | 1.0554 |
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+ | No log | 9.0 | 36 | 1.0367 | 0.4385 | 1.0367 |
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+ | No log | 9.5 | 38 | 1.0146 | 0.5556 | 1.0146 |
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+ | No log | 10.0 | 40 | 1.0047 | 0.4859 | 1.0047 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions