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bert-base-uncased_crows_pairs_classifieronly

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bert
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: bert-base-uncased_crows_pairs_classifieronly
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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
@@ -12,7 +29,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-uncased_crows_pairs_classifieronly
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 
 
 
 
 
 
 
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  ## Model description
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@@ -39,6 +63,59 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 50
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  ### Framework versions
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  - Transformers 4.26.1
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - crows_pairs
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: bert-base-uncased_crows_pairs_classifieronly
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: crows_pairs
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+ type: crows_pairs
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+ config: crows_pairs
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+ split: test
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+ args: crows_pairs
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.4735099337748344
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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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  # bert-base-uncased_crows_pairs_classifieronly
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the crows_pairs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6928
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+ - Accuracy: 0.4735
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+ - Tp: 0.3278
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+ - Tn: 0.1457
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+ - Fp: 0.3179
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+ - Fn: 0.2086
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 50
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Tp | Tn | Fp | Fn |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
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+ | 0.7033 | 1.05 | 20 | 0.6951 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7008 | 2.11 | 40 | 0.6951 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6998 | 3.16 | 60 | 0.6939 | 0.4570 | 0.0 | 0.4570 | 0.0066 | 0.5364 |
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+ | 0.6958 | 4.21 | 80 | 0.6948 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7025 | 5.26 | 100 | 0.6981 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7083 | 6.32 | 120 | 0.6917 | 0.5397 | 0.5364 | 0.0033 | 0.4603 | 0.0 |
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+ | 0.7016 | 7.37 | 140 | 0.6939 | 0.4570 | 0.0 | 0.4570 | 0.0066 | 0.5364 |
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+ | 0.7061 | 8.42 | 160 | 0.6984 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.698 | 9.47 | 180 | 0.6948 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7009 | 10.53 | 200 | 0.6931 | 0.4967 | 0.1623 | 0.3344 | 0.1291 | 0.3742 |
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+ | 0.7047 | 11.58 | 220 | 0.6998 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6945 | 12.63 | 240 | 0.6935 | 0.4868 | 0.0364 | 0.4503 | 0.0132 | 0.5 |
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+ | 0.708 | 13.68 | 260 | 0.6924 | 0.5364 | 0.5033 | 0.0331 | 0.4305 | 0.0331 |
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+ | 0.7007 | 14.74 | 280 | 0.6935 | 0.4834 | 0.0331 | 0.4503 | 0.0132 | 0.5033 |
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+ | 0.6999 | 15.79 | 300 | 0.6938 | 0.4636 | 0.0066 | 0.4570 | 0.0066 | 0.5298 |
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+ | 0.6993 | 16.84 | 320 | 0.6939 | 0.4570 | 0.0 | 0.4570 | 0.0066 | 0.5364 |
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+ | 0.7002 | 17.89 | 340 | 0.6953 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7025 | 18.95 | 360 | 0.6956 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7008 | 20.0 | 380 | 0.6905 | 0.5397 | 0.5364 | 0.0033 | 0.4603 | 0.0 |
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+ | 0.7065 | 21.05 | 400 | 0.6970 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6996 | 22.11 | 420 | 0.6954 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7 | 23.16 | 440 | 0.6962 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7028 | 24.21 | 460 | 0.6948 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6924 | 25.26 | 480 | 0.6930 | 0.4834 | 0.2020 | 0.2815 | 0.1821 | 0.3344 |
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+ | 0.6973 | 26.32 | 500 | 0.6941 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6953 | 27.37 | 520 | 0.6938 | 0.4603 | 0.0033 | 0.4570 | 0.0066 | 0.5331 |
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+ | 0.6971 | 28.42 | 540 | 0.6928 | 0.4735 | 0.3411 | 0.1325 | 0.3311 | 0.1954 |
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+ | 0.7086 | 29.47 | 560 | 0.6924 | 0.5199 | 0.5066 | 0.0132 | 0.4503 | 0.0298 |
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+ | 0.6959 | 30.53 | 580 | 0.6925 | 0.5066 | 0.4636 | 0.0430 | 0.4205 | 0.0728 |
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+ | 0.7103 | 31.58 | 600 | 0.6919 | 0.5397 | 0.5364 | 0.0033 | 0.4603 | 0.0 |
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+ | 0.7019 | 32.63 | 620 | 0.6916 | 0.5397 | 0.5364 | 0.0033 | 0.4603 | 0.0 |
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+ | 0.6941 | 33.68 | 640 | 0.6935 | 0.4868 | 0.0364 | 0.4503 | 0.0132 | 0.5 |
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+ | 0.6878 | 34.74 | 660 | 0.6959 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6995 | 35.79 | 680 | 0.6954 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6968 | 36.84 | 700 | 0.6916 | 0.5397 | 0.5364 | 0.0033 | 0.4603 | 0.0 |
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+ | 0.6997 | 37.89 | 720 | 0.6921 | 0.5331 | 0.5265 | 0.0066 | 0.4570 | 0.0099 |
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+ | 0.6975 | 38.95 | 740 | 0.6964 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7026 | 40.0 | 760 | 0.6956 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7057 | 41.05 | 780 | 0.6943 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.7028 | 42.11 | 800 | 0.6953 | 0.4636 | 0.0 | 0.4636 | 0.0 | 0.5364 |
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+ | 0.6987 | 43.16 | 820 | 0.6938 | 0.4603 | 0.0033 | 0.4570 | 0.0066 | 0.5331 |
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+ | 0.6973 | 44.21 | 840 | 0.6933 | 0.4868 | 0.0497 | 0.4371 | 0.0265 | 0.4868 |
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+ | 0.7119 | 45.26 | 860 | 0.6930 | 0.4801 | 0.1788 | 0.3013 | 0.1623 | 0.3576 |
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+ | 0.7041 | 46.32 | 880 | 0.6928 | 0.4967 | 0.3179 | 0.1788 | 0.2848 | 0.2185 |
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+ | 0.7114 | 47.37 | 900 | 0.6926 | 0.4967 | 0.4139 | 0.0828 | 0.3808 | 0.1225 |
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+ | 0.702 | 48.42 | 920 | 0.6929 | 0.4735 | 0.2318 | 0.2417 | 0.2219 | 0.3046 |
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+ | 0.6945 | 49.47 | 940 | 0.6928 | 0.4735 | 0.3278 | 0.1457 | 0.3179 | 0.2086 |
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+
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  ### Framework versions
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  - Transformers 4.26.1