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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: '20230820161846' |
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results: [] |
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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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# 20230820161846 |
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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: 0.3402 |
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- Accuracy: 0.7401 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.005 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| No log | 1.0 | 312 | 0.3514 | 0.5560 | |
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| 0.6229 | 2.0 | 624 | 0.6273 | 0.5487 | |
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| 0.6229 | 3.0 | 936 | 0.8085 | 0.4729 | |
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| 0.5188 | 4.0 | 1248 | 0.6060 | 0.4729 | |
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| 0.4693 | 5.0 | 1560 | 0.3607 | 0.4946 | |
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| 0.4693 | 6.0 | 1872 | 0.3897 | 0.4801 | |
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| 0.4249 | 7.0 | 2184 | 0.5828 | 0.5271 | |
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| 0.4249 | 8.0 | 2496 | 0.4718 | 0.5307 | |
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| 0.4226 | 9.0 | 2808 | 0.5343 | 0.4729 | |
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| 0.42 | 10.0 | 3120 | 0.3478 | 0.5451 | |
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| 0.42 | 11.0 | 3432 | 0.4042 | 0.5271 | |
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| 0.407 | 12.0 | 3744 | 0.5783 | 0.4693 | |
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| 0.4156 | 13.0 | 4056 | 0.3466 | 0.5740 | |
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| 0.4156 | 14.0 | 4368 | 0.3720 | 0.5379 | |
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| 0.3784 | 15.0 | 4680 | 0.3414 | 0.6318 | |
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| 0.3784 | 16.0 | 4992 | 0.3330 | 0.6318 | |
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| 0.3734 | 17.0 | 5304 | 0.4631 | 0.5957 | |
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| 0.3573 | 18.0 | 5616 | 0.3375 | 0.5848 | |
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| 0.3573 | 19.0 | 5928 | 0.3429 | 0.6606 | |
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| 0.3516 | 20.0 | 6240 | 0.3344 | 0.6606 | |
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| 0.3399 | 21.0 | 6552 | 0.3671 | 0.6679 | |
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| 0.3399 | 22.0 | 6864 | 0.3485 | 0.6643 | |
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| 0.3345 | 23.0 | 7176 | 0.3416 | 0.6679 | |
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| 0.3345 | 24.0 | 7488 | 0.3263 | 0.6968 | |
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| 0.325 | 25.0 | 7800 | 0.3331 | 0.6895 | |
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| 0.3197 | 26.0 | 8112 | 0.3591 | 0.6787 | |
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| 0.3197 | 27.0 | 8424 | 0.3175 | 0.7292 | |
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| 0.3165 | 28.0 | 8736 | 0.3208 | 0.7148 | |
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| 0.3122 | 29.0 | 9048 | 0.3200 | 0.7292 | |
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| 0.3122 | 30.0 | 9360 | 0.3790 | 0.6570 | |
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| 0.3072 | 31.0 | 9672 | 0.3221 | 0.7112 | |
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| 0.3072 | 32.0 | 9984 | 0.3263 | 0.7365 | |
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| 0.3041 | 33.0 | 10296 | 0.3322 | 0.7292 | |
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| 0.2885 | 34.0 | 10608 | 0.3296 | 0.7365 | |
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| 0.2885 | 35.0 | 10920 | 0.3265 | 0.7220 | |
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| 0.2875 | 36.0 | 11232 | 0.3236 | 0.7509 | |
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| 0.2848 | 37.0 | 11544 | 0.3484 | 0.7112 | |
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| 0.2848 | 38.0 | 11856 | 0.3266 | 0.7365 | |
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| 0.2766 | 39.0 | 12168 | 0.3304 | 0.7473 | |
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| 0.2766 | 40.0 | 12480 | 0.3305 | 0.7401 | |
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| 0.2743 | 41.0 | 12792 | 0.3287 | 0.7545 | |
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| 0.2708 | 42.0 | 13104 | 0.3292 | 0.7365 | |
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| 0.2708 | 43.0 | 13416 | 0.3363 | 0.7256 | |
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| 0.2662 | 44.0 | 13728 | 0.3203 | 0.7329 | |
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| 0.2636 | 45.0 | 14040 | 0.3338 | 0.7401 | |
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| 0.2636 | 46.0 | 14352 | 0.3480 | 0.7365 | |
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| 0.261 | 47.0 | 14664 | 0.3282 | 0.7401 | |
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| 0.261 | 48.0 | 14976 | 0.3330 | 0.7329 | |
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| 0.2585 | 49.0 | 15288 | 0.3519 | 0.7292 | |
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| 0.2561 | 50.0 | 15600 | 0.3215 | 0.7473 | |
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| 0.2561 | 51.0 | 15912 | 0.3388 | 0.7401 | |
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| 0.2569 | 52.0 | 16224 | 0.3327 | 0.7365 | |
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| 0.2544 | 53.0 | 16536 | 0.3402 | 0.7401 | |
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| 0.2544 | 54.0 | 16848 | 0.3313 | 0.7437 | |
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| 0.2499 | 55.0 | 17160 | 0.3317 | 0.7401 | |
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| 0.2499 | 56.0 | 17472 | 0.3465 | 0.7329 | |
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| 0.2505 | 57.0 | 17784 | 0.3398 | 0.7437 | |
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| 0.2468 | 58.0 | 18096 | 0.3380 | 0.7437 | |
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| 0.2468 | 59.0 | 18408 | 0.3370 | 0.7437 | |
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| 0.2487 | 60.0 | 18720 | 0.3402 | 0.7401 | |
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### Framework versions |
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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 |
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