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arabert_cross_vocabulary_task2_fold5

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  1. README.md +33 -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_task2_fold4
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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_task2_fold4
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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: 0.4047
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- - Qwk: 0.8288
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- - Mse: 0.4047
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  ## Model description
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@@ -47,36 +47,34 @@ 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 | 0.0328 | 2 | 1.7452 | 0.0006 | 1.7452 |
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- | No log | 0.0656 | 4 | 1.2370 | 0.1274 | 1.2370 |
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- | No log | 0.0984 | 6 | 0.8329 | 0.4478 | 0.8329 |
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- | No log | 0.1311 | 8 | 0.6416 | 0.5311 | 0.6416 |
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- | No log | 0.1639 | 10 | 0.5045 | 0.6702 | 0.5045 |
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- | No log | 0.1967 | 12 | 0.7393 | 0.7456 | 0.7393 |
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- | No log | 0.2295 | 14 | 0.6764 | 0.7611 | 0.6764 |
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- | No log | 0.2623 | 16 | 0.4405 | 0.7742 | 0.4405 |
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- | No log | 0.2951 | 18 | 0.4529 | 0.6406 | 0.4529 |
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- | No log | 0.3279 | 20 | 0.4250 | 0.6970 | 0.4250 |
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- | No log | 0.3607 | 22 | 0.4454 | 0.8071 | 0.4454 |
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- | No log | 0.3934 | 24 | 0.6139 | 0.7900 | 0.6139 |
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- | No log | 0.4262 | 26 | 0.5738 | 0.7676 | 0.5738 |
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- | No log | 0.4590 | 28 | 0.4153 | 0.7533 | 0.4153 |
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- | No log | 0.4918 | 30 | 0.3615 | 0.7288 | 0.3615 |
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- | No log | 0.5246 | 32 | 0.3546 | 0.7617 | 0.3546 |
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- | No log | 0.5574 | 34 | 0.3710 | 0.7951 | 0.3710 |
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- | No log | 0.5902 | 36 | 0.4183 | 0.8076 | 0.4183 |
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- | No log | 0.6230 | 38 | 0.4794 | 0.8180 | 0.4794 |
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- | No log | 0.6557 | 40 | 0.4977 | 0.8093 | 0.4977 |
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- | No log | 0.6885 | 42 | 0.4901 | 0.8202 | 0.4901 |
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- | No log | 0.7213 | 44 | 0.4251 | 0.8233 | 0.4251 |
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- | No log | 0.7541 | 46 | 0.3869 | 0.8256 | 0.3869 |
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- | No log | 0.7869 | 48 | 0.3765 | 0.8231 | 0.3765 |
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- | No log | 0.8197 | 50 | 0.3956 | 0.8234 | 0.3956 |
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- | No log | 0.8525 | 52 | 0.4092 | 0.8176 | 0.4092 |
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- | No log | 0.8852 | 54 | 0.4118 | 0.8198 | 0.4118 |
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- | No log | 0.9180 | 56 | 0.4170 | 0.8220 | 0.4170 |
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- | No log | 0.9508 | 58 | 0.4094 | 0.8265 | 0.4094 |
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- | No log | 0.9836 | 60 | 0.4047 | 0.8288 | 0.4047 |
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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_task2_fold5
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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_task2_fold5
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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: 0.3302
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+ - Qwk: 0.7915
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+ - Mse: 0.3302
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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 | 0.0351 | 2 | 1.9408 | 0.0725 | 1.9408 |
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+ | No log | 0.0702 | 4 | 1.1558 | 0.2495 | 1.1558 |
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+ | No log | 0.1053 | 6 | 0.8278 | 0.5475 | 0.8278 |
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+ | No log | 0.1404 | 8 | 0.9051 | 0.5890 | 0.9051 |
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+ | No log | 0.1754 | 10 | 1.0541 | 0.6265 | 1.0541 |
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+ | No log | 0.2105 | 12 | 0.9617 | 0.6991 | 0.9617 |
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+ | No log | 0.2456 | 14 | 0.6753 | 0.8007 | 0.6753 |
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+ | No log | 0.2807 | 16 | 0.4157 | 0.7665 | 0.4157 |
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+ | No log | 0.3158 | 18 | 0.4162 | 0.7231 | 0.4162 |
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+ | No log | 0.3509 | 20 | 0.3927 | 0.7223 | 0.3927 |
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+ | No log | 0.3860 | 22 | 0.3990 | 0.7945 | 0.3990 |
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+ | No log | 0.4211 | 24 | 0.4409 | 0.8243 | 0.4409 |
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+ | No log | 0.4561 | 26 | 0.4391 | 0.8320 | 0.4391 |
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+ | No log | 0.4912 | 28 | 0.3760 | 0.8013 | 0.3760 |
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+ | No log | 0.5263 | 30 | 0.3677 | 0.7769 | 0.3677 |
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+ | No log | 0.5614 | 32 | 0.3664 | 0.8062 | 0.3664 |
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+ | No log | 0.5965 | 34 | 0.3925 | 0.8156 | 0.3925 |
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+ | No log | 0.6316 | 36 | 0.4350 | 0.8384 | 0.4350 |
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+ | No log | 0.6667 | 38 | 0.4400 | 0.8249 | 0.4400 |
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+ | No log | 0.7018 | 40 | 0.4146 | 0.8159 | 0.4146 |
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+ | No log | 0.7368 | 42 | 0.3750 | 0.8086 | 0.3750 |
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+ | No log | 0.7719 | 44 | 0.3465 | 0.7933 | 0.3465 |
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+ | No log | 0.8070 | 46 | 0.3355 | 0.7897 | 0.3355 |
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+ | No log | 0.8421 | 48 | 0.3314 | 0.7870 | 0.3314 |
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+ | No log | 0.8772 | 50 | 0.3317 | 0.7828 | 0.3317 |
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+ | No log | 0.9123 | 52 | 0.3312 | 0.7828 | 0.3312 |
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+ | No log | 0.9474 | 54 | 0.3303 | 0.7906 | 0.3303 |
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+ | No log | 0.9825 | 56 | 0.3302 | 0.7915 | 0.3302 |
 
 
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  ### Framework versions