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Onutoa
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20230817181727

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: '20230817181727'
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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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+ # 20230817181727
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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: 0.3316
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+ - Accuracy: 0.7365
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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: 0.004
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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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+ | No log | 1.0 | 156 | 0.4741 | 0.5307 |
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+ | No log | 2.0 | 312 | 0.3849 | 0.5090 |
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+ | No log | 3.0 | 468 | 0.4345 | 0.4729 |
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+ | 0.5496 | 4.0 | 624 | 0.4749 | 0.5235 |
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+ | 0.5496 | 5.0 | 780 | 0.4138 | 0.5343 |
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+ | 0.5496 | 6.0 | 936 | 0.3599 | 0.5632 |
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+ | 0.4365 | 7.0 | 1092 | 0.3954 | 0.5632 |
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+ | 0.4365 | 8.0 | 1248 | 0.3455 | 0.5018 |
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+ | 0.4365 | 9.0 | 1404 | 0.3985 | 0.5776 |
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+ | 0.4109 | 10.0 | 1560 | 0.3828 | 0.5993 |
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+ | 0.4109 | 11.0 | 1716 | 0.4339 | 0.4729 |
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+ | 0.4109 | 12.0 | 1872 | 0.3432 | 0.5379 |
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+ | 0.3611 | 13.0 | 2028 | 0.3395 | 0.6137 |
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+ | 0.3611 | 14.0 | 2184 | 0.3404 | 0.6715 |
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+ | 0.3611 | 15.0 | 2340 | 0.3396 | 0.6570 |
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+ | 0.3611 | 16.0 | 2496 | 0.3857 | 0.6354 |
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+ | 0.3456 | 17.0 | 2652 | 0.3480 | 0.6895 |
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+ | 0.3456 | 18.0 | 2808 | 0.3348 | 0.7040 |
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+ | 0.3456 | 19.0 | 2964 | 0.3323 | 0.6426 |
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+ | 0.3391 | 20.0 | 3120 | 0.3591 | 0.6715 |
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+ | 0.3391 | 21.0 | 3276 | 0.3378 | 0.7148 |
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+ | 0.3391 | 22.0 | 3432 | 0.3453 | 0.7004 |
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+ | 0.3319 | 23.0 | 3588 | 0.3405 | 0.6679 |
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+ | 0.3319 | 24.0 | 3744 | 0.3451 | 0.6390 |
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+ | 0.3319 | 25.0 | 3900 | 0.3665 | 0.6895 |
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+ | 0.3274 | 26.0 | 4056 | 0.3290 | 0.7112 |
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+ | 0.3274 | 27.0 | 4212 | 0.3252 | 0.7040 |
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+ | 0.3274 | 28.0 | 4368 | 0.3265 | 0.7184 |
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+ | 0.3214 | 29.0 | 4524 | 0.3284 | 0.7365 |
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+ | 0.3214 | 30.0 | 4680 | 0.3290 | 0.7437 |
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+ | 0.3214 | 31.0 | 4836 | 0.3328 | 0.7256 |
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+ | 0.3214 | 32.0 | 4992 | 0.3268 | 0.7220 |
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+ | 0.3167 | 33.0 | 5148 | 0.3372 | 0.7220 |
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+ | 0.3167 | 34.0 | 5304 | 0.3263 | 0.7256 |
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+ | 0.3167 | 35.0 | 5460 | 0.3231 | 0.7365 |
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+ | 0.312 | 36.0 | 5616 | 0.3255 | 0.7256 |
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+ | 0.312 | 37.0 | 5772 | 0.3325 | 0.7148 |
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+ | 0.312 | 38.0 | 5928 | 0.3351 | 0.7365 |
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+ | 0.3083 | 39.0 | 6084 | 0.3362 | 0.7148 |
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+ | 0.3083 | 40.0 | 6240 | 0.3326 | 0.7292 |
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+ | 0.3083 | 41.0 | 6396 | 0.3366 | 0.7220 |
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+ | 0.3081 | 42.0 | 6552 | 0.3265 | 0.7292 |
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+ | 0.3081 | 43.0 | 6708 | 0.3351 | 0.7365 |
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+ | 0.3081 | 44.0 | 6864 | 0.3384 | 0.7329 |
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+ | 0.3032 | 45.0 | 7020 | 0.3298 | 0.7220 |
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+ | 0.3032 | 46.0 | 7176 | 0.3309 | 0.7329 |
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+ | 0.3032 | 47.0 | 7332 | 0.3319 | 0.7256 |
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+ | 0.3032 | 48.0 | 7488 | 0.3452 | 0.7401 |
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+ | 0.2998 | 49.0 | 7644 | 0.3365 | 0.7365 |
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+ | 0.2998 | 50.0 | 7800 | 0.3290 | 0.7256 |
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+ | 0.2998 | 51.0 | 7956 | 0.3251 | 0.7509 |
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+ | 0.2989 | 52.0 | 8112 | 0.3254 | 0.7401 |
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+ | 0.2989 | 53.0 | 8268 | 0.3372 | 0.7365 |
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+ | 0.2989 | 54.0 | 8424 | 0.3401 | 0.7437 |
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+ | 0.2951 | 55.0 | 8580 | 0.3315 | 0.7365 |
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+ | 0.2951 | 56.0 | 8736 | 0.3345 | 0.7292 |
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+ | 0.2951 | 57.0 | 8892 | 0.3301 | 0.7292 |
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+ | 0.2945 | 58.0 | 9048 | 0.3322 | 0.7292 |
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+ | 0.2945 | 59.0 | 9204 | 0.3305 | 0.7329 |
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+ | 0.2945 | 60.0 | 9360 | 0.3316 | 0.7365 |
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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