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Onutoa
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20230822011123

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: '20230822011123'
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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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+ # 20230822011123
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+
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+ This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 12.7559
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+ - Accuracy: 0.4729
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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: 0.0005
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+ - train_batch_size: 8
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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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+ | No log | 1.0 | 312 | 33.1111 | 0.4693 |
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+ | 33.5632 | 2.0 | 624 | 29.4330 | 0.4729 |
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+ | 33.5632 | 3.0 | 936 | 28.6575 | 0.4729 |
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+ | 29.5796 | 4.0 | 1248 | 27.5594 | 0.4946 |
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+ | 27.7947 | 5.0 | 1560 | 24.0011 | 0.4729 |
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+ | 27.7947 | 6.0 | 1872 | 21.8497 | 0.5307 |
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+ | 24.4291 | 7.0 | 2184 | 18.9382 | 0.5271 |
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+ | 24.4291 | 8.0 | 2496 | 17.0228 | 0.5271 |
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+ | 21.7331 | 9.0 | 2808 | 16.2191 | 0.5271 |
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+ | 20.2434 | 10.0 | 3120 | 15.6640 | 0.5271 |
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+ | 20.2434 | 11.0 | 3432 | 15.3209 | 0.4729 |
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+ | 19.5791 | 12.0 | 3744 | 15.0367 | 0.4729 |
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+ | 19.1759 | 13.0 | 4056 | 14.7859 | 0.4729 |
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+ | 19.1759 | 14.0 | 4368 | 14.5689 | 0.4729 |
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+ | 18.9129 | 15.0 | 4680 | 14.4199 | 0.4729 |
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+ | 18.9129 | 16.0 | 4992 | 14.3070 | 0.5271 |
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+ | 18.725 | 17.0 | 5304 | 14.2007 | 0.5271 |
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+ | 18.5733 | 18.0 | 5616 | 14.0996 | 0.4729 |
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+ | 18.5733 | 19.0 | 5928 | 14.0560 | 0.4729 |
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+ | 18.4591 | 20.0 | 6240 | 13.9476 | 0.5271 |
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+ | 18.3533 | 21.0 | 6552 | 13.8532 | 0.5271 |
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+ | 18.3533 | 22.0 | 6864 | 13.8091 | 0.5271 |
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+ | 18.2596 | 23.0 | 7176 | 13.7278 | 0.5271 |
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+ | 18.2596 | 24.0 | 7488 | 13.6616 | 0.4729 |
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+ | 18.1857 | 25.0 | 7800 | 13.5820 | 0.4729 |
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+ | 18.1091 | 26.0 | 8112 | 13.5658 | 0.4729 |
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+ | 18.1091 | 27.0 | 8424 | 13.4950 | 0.4729 |
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+ | 18.0388 | 28.0 | 8736 | 13.4109 | 0.4729 |
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+ | 17.9676 | 29.0 | 9048 | 13.3571 | 0.4729 |
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+ | 17.9676 | 30.0 | 9360 | 13.3096 | 0.4729 |
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+ | 17.9109 | 31.0 | 9672 | 13.2689 | 0.5271 |
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+ | 17.9109 | 32.0 | 9984 | 13.2199 | 0.4729 |
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+ | 17.8555 | 33.0 | 10296 | 13.1702 | 0.5271 |
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+ | 17.7959 | 34.0 | 10608 | 13.1315 | 0.4729 |
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+ | 17.7959 | 35.0 | 10920 | 13.0977 | 0.5271 |
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+ | 17.7567 | 36.0 | 11232 | 13.0718 | 0.4729 |
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+ | 17.718 | 37.0 | 11544 | 13.0244 | 0.4729 |
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+ | 17.718 | 38.0 | 11856 | 13.0061 | 0.5271 |
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+ | 17.6743 | 39.0 | 12168 | 12.9777 | 0.5271 |
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+ | 17.6743 | 40.0 | 12480 | 12.9545 | 0.4729 |
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+ | 17.6411 | 41.0 | 12792 | 12.9362 | 0.4729 |
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+ | 17.6197 | 42.0 | 13104 | 12.9564 | 0.4729 |
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+ | 17.6197 | 43.0 | 13416 | 12.8934 | 0.4729 |
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+ | 17.598 | 44.0 | 13728 | 12.8824 | 0.4729 |
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+ | 17.5669 | 45.0 | 14040 | 12.8925 | 0.4729 |
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+ | 17.5669 | 46.0 | 14352 | 12.8567 | 0.4729 |
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+ | 17.5513 | 47.0 | 14664 | 12.8525 | 0.4729 |
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+ | 17.5513 | 48.0 | 14976 | 12.8268 | 0.5271 |
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+ | 17.5412 | 49.0 | 15288 | 12.8100 | 0.4729 |
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+ | 17.5282 | 50.0 | 15600 | 12.8056 | 0.4729 |
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+ | 17.5282 | 51.0 | 15912 | 12.7995 | 0.4729 |
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+ | 17.51 | 52.0 | 16224 | 12.7996 | 0.4729 |
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+ | 17.5032 | 53.0 | 16536 | 12.7793 | 0.4729 |
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+ | 17.5032 | 54.0 | 16848 | 12.7732 | 0.4729 |
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+ | 17.4893 | 55.0 | 17160 | 12.7682 | 0.4729 |
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+ | 17.4893 | 56.0 | 17472 | 12.7625 | 0.4729 |
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+ | 17.4874 | 57.0 | 17784 | 12.7641 | 0.4729 |
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+ | 17.4805 | 58.0 | 18096 | 12.7570 | 0.4729 |
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+ | 17.4805 | 59.0 | 18408 | 12.7564 | 0.4729 |
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+ | 17.4784 | 60.0 | 18720 | 12.7559 | 0.4729 |
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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