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--- |
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license: mit |
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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: xlnet-base-cased_crows_pairs_finetuned |
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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: 0.7119205298013245 |
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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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# xlnet-base-cased_crows_pairs_finetuned |
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the crows_pairs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5652 |
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- Accuracy: 0.7119 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.728 | 0.53 | 10 | 0.6939 | 0.4901 | |
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| 0.6914 | 1.05 | 20 | 0.6939 | 0.4901 | |
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| 0.705 | 1.58 | 30 | 0.6925 | 0.5066 | |
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| 0.6993 | 2.11 | 40 | 0.6949 | 0.5066 | |
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| 0.6979 | 2.63 | 50 | 0.6996 | 0.5066 | |
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| 0.7152 | 3.16 | 60 | 0.6940 | 0.4901 | |
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| 0.7158 | 3.68 | 70 | 0.7007 | 0.4934 | |
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| 0.6968 | 4.21 | 80 | 0.6999 | 0.5066 | |
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| 0.7164 | 4.74 | 90 | 0.6977 | 0.4934 | |
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| 0.6698 | 5.26 | 100 | 0.7079 | 0.4536 | |
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| 0.611 | 5.79 | 110 | 0.8882 | 0.5099 | |
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| 0.6487 | 6.32 | 120 | 0.8360 | 0.5066 | |
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| 0.5223 | 6.84 | 130 | 0.8047 | 0.5728 | |
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| 0.2879 | 7.37 | 140 | 1.1483 | 0.5795 | |
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| 0.2369 | 7.89 | 150 | 1.1773 | 0.5993 | |
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| 0.2542 | 8.42 | 160 | 0.9170 | 0.6424 | |
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| 0.1743 | 8.95 | 170 | 1.3674 | 0.6424 | |
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| 0.1307 | 9.47 | 180 | 1.0740 | 0.7152 | |
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| 0.0718 | 10.0 | 190 | 1.4397 | 0.6424 | |
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| 0.0278 | 10.53 | 200 | 1.9821 | 0.6523 | |
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| 0.0519 | 11.05 | 210 | 1.6970 | 0.6755 | |
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| 0.0269 | 11.58 | 220 | 1.8299 | 0.6656 | |
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| 0.0556 | 12.11 | 230 | 1.9459 | 0.7086 | |
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| 0.0455 | 12.63 | 240 | 1.6443 | 0.6854 | |
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| 0.0665 | 13.16 | 250 | 1.9887 | 0.6821 | |
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| 0.009 | 13.68 | 260 | 2.0236 | 0.6788 | |
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| 0.0146 | 14.21 | 270 | 1.8515 | 0.7152 | |
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| 0.0034 | 14.74 | 280 | 1.9315 | 0.7252 | |
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| 0.0248 | 15.26 | 290 | 2.0754 | 0.7119 | |
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| 0.0536 | 15.79 | 300 | 2.0371 | 0.7053 | |
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| 0.0393 | 16.32 | 310 | 1.9381 | 0.6987 | |
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| 0.0255 | 16.84 | 320 | 1.9074 | 0.6788 | |
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| 0.0116 | 17.37 | 330 | 2.2182 | 0.6623 | |
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| 0.0128 | 17.89 | 340 | 2.3002 | 0.6689 | |
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| 0.0006 | 18.42 | 350 | 2.2353 | 0.6788 | |
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| 0.0053 | 18.95 | 360 | 2.4277 | 0.6755 | |
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| 0.0013 | 19.47 | 370 | 2.5156 | 0.6490 | |
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| 0.0004 | 20.0 | 380 | 2.5091 | 0.6689 | |
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| 0.0003 | 20.53 | 390 | 2.4096 | 0.6854 | |
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| 0.0017 | 21.05 | 400 | 2.3497 | 0.6921 | |
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| 0.0001 | 21.58 | 410 | 2.3376 | 0.6854 | |
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| 0.012 | 22.11 | 420 | 2.3832 | 0.6854 | |
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| 0.0002 | 22.63 | 430 | 2.4388 | 0.7053 | |
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| 0.0001 | 23.16 | 440 | 2.4821 | 0.7152 | |
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| 0.0001 | 23.68 | 450 | 2.5027 | 0.7119 | |
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| 0.0001 | 24.21 | 460 | 2.5105 | 0.7152 | |
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| 0.0001 | 24.74 | 470 | 2.5145 | 0.7152 | |
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| 0.0002 | 25.26 | 480 | 2.5143 | 0.6954 | |
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| 0.0001 | 25.79 | 490 | 2.5629 | 0.6821 | |
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| 0.0002 | 26.32 | 500 | 2.5414 | 0.6887 | |
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| 0.0001 | 26.84 | 510 | 2.5301 | 0.7119 | |
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| 0.0012 | 27.37 | 520 | 2.5360 | 0.7020 | |
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| 0.0 | 27.89 | 530 | 2.5428 | 0.6921 | |
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| 0.0117 | 28.42 | 540 | 2.5455 | 0.6954 | |
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| 0.0001 | 28.95 | 550 | 2.5598 | 0.7086 | |
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| 0.0001 | 29.47 | 560 | 2.5648 | 0.7119 | |
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| 0.0001 | 30.0 | 570 | 2.5652 | 0.7119 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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