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Onutoa
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1_8e-3_1_0.5

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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+ ---
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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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+ - super_glue
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: 1_8e-3_1_0.5
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+ results: []
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+ ---
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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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+
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+ # 1_8e-3_1_0.5
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+
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+ This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the super_glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5223
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+ - Accuracy: 0.7101
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.008
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 11
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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: 100.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.047 | 1.0 | 590 | 0.5930 | 0.6147 |
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+ | 1.1566 | 2.0 | 1180 | 0.8138 | 0.3786 |
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+ | 0.8071 | 3.0 | 1770 | 1.1906 | 0.6217 |
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+ | 0.8515 | 4.0 | 2360 | 0.5963 | 0.5232 |
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+ | 0.7727 | 5.0 | 2950 | 0.5584 | 0.6043 |
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+ | 0.864 | 6.0 | 3540 | 1.9242 | 0.3783 |
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+ | 0.7792 | 7.0 | 4130 | 0.7053 | 0.5116 |
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+ | 0.768 | 8.0 | 4720 | 2.9011 | 0.3783 |
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+ | 0.7931 | 9.0 | 5310 | 0.6747 | 0.3783 |
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+ | 0.726 | 10.0 | 5900 | 5.3441 | 0.3783 |
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+ | 0.7177 | 11.0 | 6490 | 0.7048 | 0.3783 |
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+ | 0.6681 | 12.0 | 7080 | 0.6229 | 0.3783 |
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+ | 0.6889 | 13.0 | 7670 | 1.0114 | 0.6205 |
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+ | 0.6618 | 14.0 | 8260 | 2.8718 | 0.6217 |
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+ | 0.6566 | 15.0 | 8850 | 1.5485 | 0.6217 |
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+ | 0.6227 | 16.0 | 9440 | 0.7295 | 0.6220 |
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+ | 0.6016 | 17.0 | 10030 | 0.6356 | 0.6217 |
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+ | 0.5891 | 18.0 | 10620 | 0.9814 | 0.6266 |
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+ | 0.5534 | 19.0 | 11210 | 1.4086 | 0.6205 |
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+ | 0.5574 | 20.0 | 11800 | 1.9522 | 0.6211 |
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+ | 0.5349 | 21.0 | 12390 | 0.5543 | 0.6355 |
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+ | 0.5171 | 22.0 | 12980 | 0.5258 | 0.6780 |
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+ | 0.5043 | 23.0 | 13570 | 0.7235 | 0.4746 |
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+ | 0.4775 | 24.0 | 14160 | 0.5588 | 0.6428 |
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+ | 0.4721 | 25.0 | 14750 | 0.5342 | 0.6731 |
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+ | 0.461 | 26.0 | 15340 | 0.7023 | 0.5560 |
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+ | 0.461 | 27.0 | 15930 | 1.0768 | 0.4144 |
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+ | 0.4312 | 28.0 | 16520 | 0.5149 | 0.6798 |
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+ | 0.4378 | 29.0 | 17110 | 0.8702 | 0.5226 |
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+ | 0.4214 | 30.0 | 17700 | 0.8323 | 0.6514 |
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+ | 0.4205 | 31.0 | 18290 | 0.4795 | 0.6869 |
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+ | 0.3944 | 32.0 | 18880 | 0.4763 | 0.6969 |
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+ | 0.3874 | 33.0 | 19470 | 1.5854 | 0.6248 |
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+ | 0.3779 | 34.0 | 20060 | 0.5091 | 0.6914 |
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+ | 0.3723 | 35.0 | 20650 | 0.7588 | 0.6541 |
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+ | 0.3693 | 36.0 | 21240 | 0.7886 | 0.5128 |
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+ | 0.3602 | 37.0 | 21830 | 1.4420 | 0.4719 |
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+ | 0.3522 | 38.0 | 22420 | 0.9082 | 0.5073 |
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+ | 0.3488 | 39.0 | 23010 | 0.6001 | 0.6853 |
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+ | 0.3348 | 40.0 | 23600 | 0.6879 | 0.6492 |
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+ | 0.3482 | 41.0 | 24190 | 1.7803 | 0.6315 |
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+ | 0.3324 | 42.0 | 24780 | 0.5648 | 0.6997 |
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+ | 0.3318 | 43.0 | 25370 | 0.9623 | 0.6618 |
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+ | 0.336 | 44.0 | 25960 | 0.6179 | 0.6459 |
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+ | 0.3167 | 45.0 | 26550 | 0.5041 | 0.6997 |
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+ | 0.3069 | 46.0 | 27140 | 0.4954 | 0.7003 |
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+ | 0.3078 | 47.0 | 27730 | 0.5356 | 0.7028 |
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+ | 0.2981 | 48.0 | 28320 | 1.3955 | 0.6450 |
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+ | 0.3037 | 49.0 | 28910 | 0.5689 | 0.6878 |
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+ | 0.2887 | 50.0 | 29500 | 0.8592 | 0.5517 |
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+ | 0.28 | 51.0 | 30090 | 0.5939 | 0.6838 |
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+ | 0.2786 | 52.0 | 30680 | 0.6514 | 0.6765 |
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+ | 0.2778 | 53.0 | 31270 | 1.8380 | 0.6339 |
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+ | 0.2797 | 54.0 | 31860 | 1.1076 | 0.6440 |
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+ | 0.2773 | 55.0 | 32450 | 0.4983 | 0.6972 |
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+ | 0.2746 | 56.0 | 33040 | 1.5742 | 0.4483 |
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+ | 0.2691 | 57.0 | 33630 | 0.8767 | 0.6498 |
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+ | 0.2555 | 58.0 | 34220 | 0.6028 | 0.6113 |
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+ | 0.2675 | 59.0 | 34810 | 0.7268 | 0.6664 |
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+ | 0.2567 | 60.0 | 35400 | 0.5953 | 0.6593 |
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+ | 0.2555 | 61.0 | 35990 | 0.5564 | 0.6795 |
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+ | 0.2525 | 62.0 | 36580 | 0.7419 | 0.6009 |
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+ | 0.2451 | 63.0 | 37170 | 0.5019 | 0.7043 |
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+ | 0.2431 | 64.0 | 37760 | 0.5603 | 0.6997 |
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+ | 0.2373 | 65.0 | 38350 | 0.5755 | 0.6612 |
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+ | 0.2387 | 66.0 | 38940 | 0.6158 | 0.6254 |
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+ | 0.2433 | 67.0 | 39530 | 0.5994 | 0.6150 |
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+ | 0.2354 | 68.0 | 40120 | 0.5195 | 0.7101 |
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+ | 0.2361 | 69.0 | 40710 | 0.5164 | 0.7076 |
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+ | 0.234 | 70.0 | 41300 | 0.5001 | 0.6997 |
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+ | 0.2341 | 71.0 | 41890 | 1.0352 | 0.4728 |
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+ | 0.2245 | 72.0 | 42480 | 0.5045 | 0.7073 |
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+ | 0.2219 | 73.0 | 43070 | 0.5208 | 0.7080 |
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+ | 0.216 | 74.0 | 43660 | 0.5116 | 0.7061 |
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+ | 0.2227 | 75.0 | 44250 | 0.5224 | 0.7089 |
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+ | 0.2163 | 76.0 | 44840 | 0.6881 | 0.5960 |
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+ | 0.217 | 77.0 | 45430 | 0.5131 | 0.7 |
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+ | 0.2209 | 78.0 | 46020 | 0.5344 | 0.7086 |
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+ | 0.2094 | 79.0 | 46610 | 0.6909 | 0.6098 |
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+ | 0.21 | 80.0 | 47200 | 0.7910 | 0.5829 |
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+ | 0.2069 | 81.0 | 47790 | 0.7681 | 0.6575 |
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+ | 0.2021 | 82.0 | 48380 | 0.5345 | 0.7083 |
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+ | 0.2077 | 83.0 | 48970 | 0.5224 | 0.7043 |
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+ | 0.2002 | 84.0 | 49560 | 0.5126 | 0.7015 |
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+ | 0.2033 | 85.0 | 50150 | 0.5920 | 0.7003 |
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+ | 0.2021 | 86.0 | 50740 | 0.5589 | 0.7040 |
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+ | 0.1873 | 87.0 | 51330 | 0.5470 | 0.7101 |
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+ | 0.1972 | 88.0 | 51920 | 0.5276 | 0.7040 |
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+ | 0.1855 | 89.0 | 52510 | 0.5280 | 0.7049 |
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+ | 0.1916 | 90.0 | 53100 | 0.5261 | 0.7046 |
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+ | 0.1912 | 91.0 | 53690 | 0.5950 | 0.6569 |
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+ | 0.1917 | 92.0 | 54280 | 0.5402 | 0.6850 |
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+ | 0.1879 | 93.0 | 54870 | 0.5765 | 0.7037 |
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+ | 0.1923 | 94.0 | 55460 | 0.5297 | 0.6991 |
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+ | 0.1894 | 95.0 | 56050 | 0.5150 | 0.7083 |
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+ | 0.1853 | 96.0 | 56640 | 0.5276 | 0.6976 |
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+ | 0.1848 | 97.0 | 57230 | 0.5356 | 0.7113 |
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+ | 0.1796 | 98.0 | 57820 | 0.5585 | 0.7086 |
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+ | 0.1848 | 99.0 | 58410 | 0.5230 | 0.7101 |
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+ | 0.1849 | 100.0 | 59000 | 0.5223 | 0.7101 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3