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arabert_cross_vocabulary_task4_fold5

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  1. README.md +37 -39
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_task4_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_task4_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: 0.6439
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- - Qwk: 0.8180
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- - Mse: 0.6439
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  ## Model description
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@@ -47,40 +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 | 0.0290 | 2 | 3.9935 | 0.0078 | 3.9935 |
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- | No log | 0.0580 | 4 | 2.2937 | 0.0536 | 2.2937 |
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- | No log | 0.0870 | 6 | 1.2377 | 0.1729 | 1.2377 |
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- | No log | 0.1159 | 8 | 1.3353 | 0.1826 | 1.3353 |
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- | No log | 0.1449 | 10 | 1.1216 | 0.4773 | 1.1216 |
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- | No log | 0.1739 | 12 | 0.8392 | 0.5499 | 0.8392 |
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- | No log | 0.2029 | 14 | 0.6966 | 0.6127 | 0.6966 |
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- | No log | 0.2319 | 16 | 0.6473 | 0.6969 | 0.6473 |
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- | No log | 0.2609 | 18 | 0.6961 | 0.7720 | 0.6961 |
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- | No log | 0.2899 | 20 | 0.5180 | 0.8112 | 0.5180 |
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- | No log | 0.3188 | 22 | 0.4069 | 0.7973 | 0.4069 |
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- | No log | 0.3478 | 24 | 0.3749 | 0.7620 | 0.3749 |
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- | No log | 0.3768 | 26 | 0.3945 | 0.7235 | 0.3945 |
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- | No log | 0.4058 | 28 | 0.3796 | 0.7580 | 0.3796 |
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- | No log | 0.4348 | 30 | 0.4995 | 0.8231 | 0.4995 |
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- | No log | 0.4638 | 32 | 0.6489 | 0.7303 | 0.6489 |
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- | No log | 0.4928 | 34 | 0.6807 | 0.6611 | 0.6807 |
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- | No log | 0.5217 | 36 | 0.5950 | 0.7894 | 0.5950 |
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- | No log | 0.5507 | 38 | 0.4549 | 0.8319 | 0.4549 |
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- | No log | 0.5797 | 40 | 0.3601 | 0.7833 | 0.3601 |
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- | No log | 0.6087 | 42 | 0.3472 | 0.7513 | 0.3472 |
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- | No log | 0.6377 | 44 | 0.3541 | 0.716 | 0.3541 |
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- | No log | 0.6667 | 46 | 0.3486 | 0.7411 | 0.3486 |
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- | No log | 0.6957 | 48 | 0.3480 | 0.7678 | 0.3480 |
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- | No log | 0.7246 | 50 | 0.3984 | 0.8135 | 0.3984 |
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- | No log | 0.7536 | 52 | 0.5146 | 0.8349 | 0.5146 |
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- | No log | 0.7826 | 54 | 0.6619 | 0.8250 | 0.6619 |
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- | No log | 0.8116 | 56 | 0.7304 | 0.7951 | 0.7304 |
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- | No log | 0.8406 | 58 | 0.7284 | 0.7985 | 0.7284 |
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- | No log | 0.8696 | 60 | 0.7335 | 0.8019 | 0.7335 |
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- | No log | 0.8986 | 62 | 0.7134 | 0.8053 | 0.7134 |
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- | No log | 0.9275 | 64 | 0.6805 | 0.8133 | 0.6805 |
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- | No log | 0.9565 | 66 | 0.6611 | 0.8180 | 0.6611 |
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- | No log | 0.9855 | 68 | 0.6439 | 0.8180 | 0.6439 |
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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_task4_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_task4_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: 0.4552
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+ - Qwk: 0.8443
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+ - Mse: 0.4552
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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 | 2.6954 | 0.0251 | 2.6954 |
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+ | No log | 0.0615 | 4 | 1.4041 | 0.0989 | 1.4041 |
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+ | No log | 0.0923 | 6 | 0.9765 | 0.4109 | 0.9765 |
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+ | No log | 0.1231 | 8 | 0.8560 | 0.4734 | 0.8560 |
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+ | No log | 0.1538 | 10 | 0.9060 | 0.7021 | 0.9060 |
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+ | No log | 0.1846 | 12 | 1.1885 | 0.7065 | 1.1885 |
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+ | No log | 0.2154 | 14 | 1.1782 | 0.6791 | 1.1782 |
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+ | No log | 0.2462 | 16 | 0.7484 | 0.7647 | 0.7484 |
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+ | No log | 0.2769 | 18 | 0.5200 | 0.6345 | 0.5200 |
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+ | No log | 0.3077 | 20 | 0.5510 | 0.6112 | 0.5510 |
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+ | No log | 0.3385 | 22 | 0.4929 | 0.6304 | 0.4929 |
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+ | No log | 0.3692 | 24 | 0.4940 | 0.7245 | 0.4940 |
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+ | No log | 0.4 | 26 | 0.5988 | 0.7499 | 0.5988 |
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+ | No log | 0.4308 | 28 | 0.5987 | 0.7720 | 0.5987 |
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+ | No log | 0.4615 | 30 | 0.4711 | 0.7843 | 0.4711 |
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+ | No log | 0.4923 | 32 | 0.4119 | 0.8110 | 0.4119 |
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+ | No log | 0.5231 | 34 | 0.3910 | 0.7703 | 0.3910 |
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+ | No log | 0.5538 | 36 | 0.4012 | 0.7999 | 0.4012 |
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+ | No log | 0.5846 | 38 | 0.4898 | 0.8328 | 0.4898 |
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+ | No log | 0.6154 | 40 | 0.5931 | 0.8456 | 0.5931 |
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+ | No log | 0.6462 | 42 | 0.5964 | 0.8475 | 0.5964 |
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+ | No log | 0.6769 | 44 | 0.4983 | 0.8406 | 0.4983 |
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+ | No log | 0.7077 | 46 | 0.3917 | 0.8332 | 0.3917 |
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+ | No log | 0.7385 | 48 | 0.3517 | 0.8165 | 0.3517 |
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+ | No log | 0.7692 | 50 | 0.3408 | 0.8087 | 0.3408 |
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+ | No log | 0.8 | 52 | 0.3422 | 0.8165 | 0.3422 |
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+ | No log | 0.8308 | 54 | 0.3585 | 0.8306 | 0.3585 |
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+ | No log | 0.8615 | 56 | 0.3767 | 0.8335 | 0.3767 |
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+ | No log | 0.8923 | 58 | 0.3910 | 0.8386 | 0.3910 |
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+ | No log | 0.9231 | 60 | 0.4179 | 0.8461 | 0.4179 |
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+ | No log | 0.9538 | 62 | 0.4428 | 0.8471 | 0.4428 |
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+ | No log | 0.9846 | 64 | 0.4552 | 0.8443 | 0.4552 |
 
 
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  ### Framework versions