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Onutoa
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20230821213736

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: '20230821213736'
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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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+ # 20230821213736
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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: 22.0684
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+ - Accuracy: 0.4801
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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: 0.0001
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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 | 34.4593 | 0.4729 |
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+ | 34.6035 | 2.0 | 624 | 34.1903 | 0.4729 |
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+ | 34.6035 | 3.0 | 936 | 33.9397 | 0.5343 |
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+ | 34.2607 | 4.0 | 1248 | 33.6773 | 0.5343 |
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+ | 33.8346 | 5.0 | 1560 | 33.3601 | 0.4729 |
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+ | 33.8346 | 6.0 | 1872 | 32.9334 | 0.5235 |
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+ | 33.2988 | 7.0 | 2184 | 32.4093 | 0.5451 |
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+ | 33.2988 | 8.0 | 2496 | 31.6614 | 0.5343 |
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+ | 32.523 | 9.0 | 2808 | 31.1242 | 0.5487 |
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+ | 31.6421 | 10.0 | 3120 | 30.7433 | 0.5271 |
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+ | 31.6421 | 11.0 | 3432 | 30.4265 | 0.4910 |
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+ | 30.9414 | 12.0 | 3744 | 30.1340 | 0.4729 |
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+ | 30.3998 | 13.0 | 4056 | 29.6940 | 0.4729 |
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+ | 30.3998 | 14.0 | 4368 | 29.2574 | 0.4838 |
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+ | 29.7765 | 15.0 | 4680 | 28.9204 | 0.4729 |
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+ | 29.7765 | 16.0 | 4992 | 28.7916 | 0.4729 |
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+ | 29.2672 | 17.0 | 5304 | 28.7245 | 0.5379 |
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+ | 29.0545 | 18.0 | 5616 | 28.6656 | 0.4729 |
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+ | 29.0545 | 19.0 | 5928 | 28.6131 | 0.4729 |
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+ | 28.9469 | 20.0 | 6240 | 28.5471 | 0.5126 |
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+ | 28.8473 | 21.0 | 6552 | 28.4760 | 0.5343 |
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+ | 28.8473 | 22.0 | 6864 | 28.3978 | 0.4765 |
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+ | 28.7322 | 23.0 | 7176 | 28.3073 | 0.5271 |
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+ | 28.7322 | 24.0 | 7488 | 28.1897 | 0.4729 |
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+ | 28.5992 | 25.0 | 7800 | 28.0411 | 0.4729 |
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+ | 28.4123 | 26.0 | 8112 | 27.8587 | 0.4729 |
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+ | 28.4123 | 27.0 | 8424 | 27.6169 | 0.4729 |
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+ | 28.1552 | 28.0 | 8736 | 27.2253 | 0.5018 |
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+ | 27.7135 | 29.0 | 9048 | 26.7643 | 0.4729 |
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+ | 27.7135 | 30.0 | 9360 | 26.2981 | 0.4693 |
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+ | 27.1493 | 31.0 | 9672 | 25.9554 | 0.4874 |
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+ | 27.1493 | 32.0 | 9984 | 25.6574 | 0.5018 |
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+ | 26.68 | 33.0 | 10296 | 25.3846 | 0.4729 |
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+ | 26.3235 | 34.0 | 10608 | 25.0976 | 0.4729 |
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+ | 26.3235 | 35.0 | 10920 | 24.8303 | 0.4874 |
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+ | 25.9833 | 36.0 | 11232 | 24.5811 | 0.4729 |
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+ | 25.6663 | 37.0 | 11544 | 24.3341 | 0.4874 |
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+ | 25.6663 | 38.0 | 11856 | 24.1074 | 0.4729 |
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+ | 25.3808 | 39.0 | 12168 | 23.9099 | 0.4874 |
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+ | 25.3808 | 40.0 | 12480 | 23.7138 | 0.5343 |
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+ | 25.12 | 41.0 | 12792 | 23.5439 | 0.4874 |
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+ | 24.8956 | 42.0 | 13104 | 23.3745 | 0.4729 |
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+ | 24.8956 | 43.0 | 13416 | 23.2148 | 0.5162 |
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+ | 24.6833 | 44.0 | 13728 | 23.0665 | 0.4765 |
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+ | 24.498 | 45.0 | 14040 | 22.9456 | 0.4729 |
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+ | 24.498 | 46.0 | 14352 | 22.8208 | 0.4729 |
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+ | 24.3449 | 47.0 | 14664 | 22.7087 | 0.4693 |
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+ | 24.3449 | 48.0 | 14976 | 22.6159 | 0.4910 |
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+ | 24.1996 | 49.0 | 15288 | 22.5243 | 0.4874 |
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+ | 24.0892 | 50.0 | 15600 | 22.4457 | 0.4801 |
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+ | 24.0892 | 51.0 | 15912 | 22.3728 | 0.4838 |
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+ | 23.9876 | 52.0 | 16224 | 22.3081 | 0.4874 |
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+ | 23.9068 | 53.0 | 16536 | 22.2526 | 0.4729 |
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+ | 23.9068 | 54.0 | 16848 | 22.2029 | 0.4801 |
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+ | 23.837 | 55.0 | 17160 | 22.1624 | 0.4874 |
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+ | 23.837 | 56.0 | 17472 | 22.1289 | 0.4765 |
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+ | 23.7911 | 57.0 | 17784 | 22.1029 | 0.4729 |
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+ | 23.7521 | 58.0 | 18096 | 22.0854 | 0.4729 |
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+ | 23.7521 | 59.0 | 18408 | 22.0726 | 0.4765 |
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+ | 23.7328 | 60.0 | 18720 | 22.0684 | 0.4801 |
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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