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Onutoa
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2_1e-2_10_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: 2_1e-2_10_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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+ # 2_1e-2_10_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: 0.9669
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+ - Accuracy: 0.7291
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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: 0.01
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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: 60.0
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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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+ | 2.7272 | 1.0 | 590 | 2.1134 | 0.4018 |
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+ | 2.2666 | 2.0 | 1180 | 3.2261 | 0.3783 |
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+ | 2.3033 | 3.0 | 1770 | 2.2480 | 0.3783 |
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+ | 2.1786 | 4.0 | 2360 | 2.7497 | 0.6208 |
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+ | 2.1516 | 5.0 | 2950 | 1.7255 | 0.6492 |
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+ | 1.9363 | 6.0 | 3540 | 3.4672 | 0.3783 |
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+ | 2.0556 | 7.0 | 4130 | 2.9543 | 0.4664 |
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+ | 2.0717 | 8.0 | 4720 | 1.9668 | 0.6297 |
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+ | 2.238 | 9.0 | 5310 | 2.0150 | 0.6376 |
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+ | 2.0674 | 10.0 | 5900 | 1.9047 | 0.6419 |
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+ | 1.9777 | 11.0 | 6490 | 1.8100 | 0.6104 |
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+ | 1.8447 | 12.0 | 7080 | 1.7533 | 0.6367 |
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+ | 1.9655 | 13.0 | 7670 | 1.5246 | 0.6612 |
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+ | 1.7583 | 14.0 | 8260 | 1.4859 | 0.6508 |
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+ | 1.6346 | 15.0 | 8850 | 2.1240 | 0.6869 |
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+ | 1.6424 | 16.0 | 9440 | 1.4976 | 0.6474 |
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+ | 1.5083 | 17.0 | 10030 | 1.2798 | 0.6939 |
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+ | 1.6096 | 18.0 | 10620 | 1.8015 | 0.6278 |
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+ | 1.6952 | 19.0 | 11210 | 1.6068 | 0.6774 |
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+ | 1.6535 | 20.0 | 11800 | 1.7095 | 0.6076 |
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+ | 1.544 | 21.0 | 12390 | 1.4624 | 0.6832 |
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+ | 1.5493 | 22.0 | 12980 | 1.3701 | 0.7015 |
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+ | 1.4743 | 23.0 | 13570 | 1.3619 | 0.7040 |
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+ | 1.4021 | 24.0 | 14160 | 1.2429 | 0.6832 |
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+ | 1.3916 | 25.0 | 14750 | 1.4104 | 0.6853 |
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+ | 1.3976 | 26.0 | 15340 | 1.3662 | 0.6621 |
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+ | 1.4054 | 27.0 | 15930 | 1.3757 | 0.6382 |
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+ | 1.282 | 28.0 | 16520 | 1.3488 | 0.6639 |
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+ | 1.2595 | 29.0 | 17110 | 1.1823 | 0.6988 |
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+ | 1.2441 | 30.0 | 17700 | 1.3444 | 0.7180 |
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+ | 1.1883 | 31.0 | 18290 | 1.1253 | 0.7083 |
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+ | 1.188 | 32.0 | 18880 | 1.1578 | 0.7229 |
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+ | 1.1719 | 33.0 | 19470 | 1.2075 | 0.6884 |
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+ | 1.1201 | 34.0 | 20060 | 1.0837 | 0.7156 |
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+ | 1.1222 | 35.0 | 20650 | 1.1085 | 0.7015 |
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+ | 1.0624 | 36.0 | 21240 | 1.3319 | 0.7196 |
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+ | 1.0747 | 37.0 | 21830 | 1.3808 | 0.6560 |
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+ | 1.028 | 38.0 | 22420 | 1.1399 | 0.7242 |
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+ | 1.0343 | 39.0 | 23010 | 1.0303 | 0.7101 |
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+ | 0.9876 | 40.0 | 23600 | 1.1261 | 0.7275 |
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+ | 0.9899 | 41.0 | 24190 | 1.4611 | 0.7235 |
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+ | 0.9883 | 42.0 | 24780 | 1.1315 | 0.7333 |
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+ | 0.9558 | 43.0 | 25370 | 1.0614 | 0.7040 |
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+ | 0.9663 | 44.0 | 25960 | 1.0889 | 0.7131 |
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+ | 0.9311 | 45.0 | 26550 | 0.9791 | 0.7235 |
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+ | 0.9269 | 46.0 | 27140 | 0.9895 | 0.7254 |
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+ | 0.8845 | 47.0 | 27730 | 0.9648 | 0.7336 |
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+ | 0.9076 | 48.0 | 28320 | 0.9665 | 0.7343 |
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+ | 0.8691 | 49.0 | 28910 | 0.9858 | 0.7339 |
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+ | 0.8558 | 50.0 | 29500 | 0.9660 | 0.7239 |
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+ | 0.8443 | 51.0 | 30090 | 0.9774 | 0.7294 |
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+ | 0.8341 | 52.0 | 30680 | 1.0947 | 0.7024 |
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+ | 0.8268 | 53.0 | 31270 | 1.0108 | 0.7315 |
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+ | 0.8243 | 54.0 | 31860 | 0.9856 | 0.7260 |
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+ | 0.8072 | 55.0 | 32450 | 1.0354 | 0.7199 |
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+ | 0.807 | 56.0 | 33040 | 0.9688 | 0.7269 |
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+ | 0.8015 | 57.0 | 33630 | 0.9622 | 0.7291 |
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+ | 0.771 | 58.0 | 34220 | 0.9676 | 0.7269 |
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+ | 0.7829 | 59.0 | 34810 | 0.9740 | 0.7321 |
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+ | 0.7862 | 60.0 | 35400 | 0.9669 | 0.7291 |
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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