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Onutoa
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20230817093322

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: '20230817093322'
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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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+ # 20230817093322
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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: 0.3504
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+ - Accuracy: 0.7256
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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: 0.003
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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 | 0.5126 | 0.5235 |
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+ | 0.5126 | 2.0 | 624 | 0.3824 | 0.4765 |
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+ | 0.5126 | 3.0 | 936 | 0.3692 | 0.4910 |
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+ | 0.4613 | 4.0 | 1248 | 0.3941 | 0.5343 |
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+ | 0.446 | 5.0 | 1560 | 0.6773 | 0.5271 |
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+ | 0.446 | 6.0 | 1872 | 0.5516 | 0.5271 |
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+ | 0.4477 | 7.0 | 2184 | 0.3517 | 0.5199 |
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+ | 0.4477 | 8.0 | 2496 | 0.3772 | 0.4910 |
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+ | 0.4263 | 9.0 | 2808 | 0.3690 | 0.4838 |
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+ | 0.4397 | 10.0 | 3120 | 0.3512 | 0.4838 |
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+ | 0.4397 | 11.0 | 3432 | 0.4716 | 0.5379 |
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+ | 0.4425 | 12.0 | 3744 | 0.3605 | 0.6570 |
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+ | 0.4269 | 13.0 | 4056 | 0.3571 | 0.5379 |
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+ | 0.4269 | 14.0 | 4368 | 0.3545 | 0.4838 |
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+ | 0.3975 | 15.0 | 4680 | 0.3744 | 0.6498 |
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+ | 0.3975 | 16.0 | 4992 | 0.3578 | 0.6606 |
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+ | 0.3906 | 17.0 | 5304 | 0.3704 | 0.6931 |
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+ | 0.3633 | 18.0 | 5616 | 0.3356 | 0.6065 |
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+ | 0.3633 | 19.0 | 5928 | 0.3397 | 0.6065 |
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+ | 0.3604 | 20.0 | 6240 | 0.3809 | 0.6931 |
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+ | 0.3565 | 21.0 | 6552 | 0.3357 | 0.6787 |
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+ | 0.3565 | 22.0 | 6864 | 0.3803 | 0.6209 |
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+ | 0.3533 | 23.0 | 7176 | 0.3754 | 0.6751 |
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+ | 0.3533 | 24.0 | 7488 | 0.3304 | 0.6354 |
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+ | 0.3462 | 25.0 | 7800 | 0.3700 | 0.6968 |
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+ | 0.3432 | 26.0 | 8112 | 0.3337 | 0.7148 |
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+ | 0.3432 | 27.0 | 8424 | 0.3289 | 0.6968 |
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+ | 0.3409 | 28.0 | 8736 | 0.3340 | 0.7148 |
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+ | 0.3381 | 29.0 | 9048 | 0.3467 | 0.7220 |
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+ | 0.3381 | 30.0 | 9360 | 0.3860 | 0.6823 |
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+ | 0.337 | 31.0 | 9672 | 0.3795 | 0.6931 |
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+ | 0.337 | 32.0 | 9984 | 0.3755 | 0.7184 |
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+ | 0.334 | 33.0 | 10296 | 0.3529 | 0.7112 |
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+ | 0.3321 | 34.0 | 10608 | 0.3389 | 0.7076 |
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+ | 0.3321 | 35.0 | 10920 | 0.3260 | 0.7148 |
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+ | 0.3315 | 36.0 | 11232 | 0.3519 | 0.7329 |
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+ | 0.3317 | 37.0 | 11544 | 0.3741 | 0.6968 |
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+ | 0.3317 | 38.0 | 11856 | 0.3364 | 0.7112 |
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+ | 0.325 | 39.0 | 12168 | 0.3438 | 0.7256 |
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+ | 0.325 | 40.0 | 12480 | 0.3462 | 0.7148 |
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+ | 0.3282 | 41.0 | 12792 | 0.3344 | 0.7256 |
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+ | 0.3251 | 42.0 | 13104 | 0.3280 | 0.7256 |
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+ | 0.3251 | 43.0 | 13416 | 0.3544 | 0.7148 |
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+ | 0.3223 | 44.0 | 13728 | 0.3488 | 0.7256 |
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+ | 0.3215 | 45.0 | 14040 | 0.3437 | 0.7220 |
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+ | 0.3215 | 46.0 | 14352 | 0.3430 | 0.7220 |
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+ | 0.3205 | 47.0 | 14664 | 0.3394 | 0.7076 |
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+ | 0.3205 | 48.0 | 14976 | 0.3676 | 0.7076 |
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+ | 0.3163 | 49.0 | 15288 | 0.3487 | 0.7365 |
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+ | 0.3154 | 50.0 | 15600 | 0.3387 | 0.7148 |
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+ | 0.3154 | 51.0 | 15912 | 0.3448 | 0.7076 |
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+ | 0.3164 | 52.0 | 16224 | 0.3361 | 0.7220 |
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+ | 0.3153 | 53.0 | 16536 | 0.3676 | 0.7040 |
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+ | 0.3153 | 54.0 | 16848 | 0.3463 | 0.7256 |
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+ | 0.3145 | 55.0 | 17160 | 0.3491 | 0.7329 |
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+ | 0.3145 | 56.0 | 17472 | 0.3599 | 0.7040 |
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+ | 0.3151 | 57.0 | 17784 | 0.3457 | 0.7292 |
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+ | 0.3103 | 58.0 | 18096 | 0.3489 | 0.7220 |
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+ | 0.3103 | 59.0 | 18408 | 0.3481 | 0.7256 |
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+ | 0.314 | 60.0 | 18720 | 0.3504 | 0.7256 |
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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
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3