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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: '20230823213528' |
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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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# 20230823213528 |
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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: 0.3485 |
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- Accuracy: 0.7040 |
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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: 0.003 |
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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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### 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 | 0.4891 | 0.5343 | |
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| 0.5805 | 2.0 | 624 | 0.4199 | 0.5307 | |
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| 0.5805 | 3.0 | 936 | 0.4131 | 0.4946 | |
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| 0.4984 | 4.0 | 1248 | 0.3933 | 0.5812 | |
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| 0.4838 | 5.0 | 1560 | 0.4843 | 0.4801 | |
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| 0.4838 | 6.0 | 1872 | 0.3661 | 0.6354 | |
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| 0.4855 | 7.0 | 2184 | 0.5478 | 0.5487 | |
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| 0.4855 | 8.0 | 2496 | 0.3429 | 0.6534 | |
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| 0.4609 | 9.0 | 2808 | 0.4357 | 0.5451 | |
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| 0.4554 | 10.0 | 3120 | 0.3549 | 0.6570 | |
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| 0.4554 | 11.0 | 3432 | 0.5188 | 0.6354 | |
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| 0.4273 | 12.0 | 3744 | 0.3284 | 0.6859 | |
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| 0.4039 | 13.0 | 4056 | 0.3282 | 0.7148 | |
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| 0.4039 | 14.0 | 4368 | 0.3409 | 0.6968 | |
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| 0.3708 | 15.0 | 4680 | 0.3288 | 0.6859 | |
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| 0.3708 | 16.0 | 4992 | 0.3508 | 0.6859 | |
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| 0.3474 | 17.0 | 5304 | 0.3127 | 0.7220 | |
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| 0.3321 | 18.0 | 5616 | 0.3528 | 0.6462 | |
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| 0.3321 | 19.0 | 5928 | 0.3202 | 0.7256 | |
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| 0.3264 | 20.0 | 6240 | 0.3531 | 0.6787 | |
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| 0.3029 | 21.0 | 6552 | 0.3314 | 0.7220 | |
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| 0.3029 | 22.0 | 6864 | 0.4123 | 0.6606 | |
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| 0.3003 | 23.0 | 7176 | 0.3465 | 0.7148 | |
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| 0.3003 | 24.0 | 7488 | 0.3219 | 0.7256 | |
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| 0.29 | 25.0 | 7800 | 0.3582 | 0.7220 | |
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| 0.2752 | 26.0 | 8112 | 0.3376 | 0.6968 | |
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| 0.2752 | 27.0 | 8424 | 0.3076 | 0.7509 | |
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| 0.2765 | 28.0 | 8736 | 0.3248 | 0.7292 | |
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| 0.2703 | 29.0 | 9048 | 0.3493 | 0.7256 | |
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| 0.2703 | 30.0 | 9360 | 0.3761 | 0.7112 | |
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| 0.2587 | 31.0 | 9672 | 0.3380 | 0.7256 | |
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| 0.2587 | 32.0 | 9984 | 0.3229 | 0.7220 | |
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| 0.2473 | 33.0 | 10296 | 0.3595 | 0.7112 | |
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| 0.2386 | 34.0 | 10608 | 0.3214 | 0.7184 | |
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| 0.2386 | 35.0 | 10920 | 0.3223 | 0.7365 | |
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| 0.2404 | 36.0 | 11232 | 0.3340 | 0.7329 | |
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| 0.2324 | 37.0 | 11544 | 0.3969 | 0.6931 | |
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| 0.2324 | 38.0 | 11856 | 0.3440 | 0.7365 | |
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| 0.2322 | 39.0 | 12168 | 0.3877 | 0.7076 | |
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| 0.2322 | 40.0 | 12480 | 0.3323 | 0.7148 | |
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| 0.2221 | 41.0 | 12792 | 0.3317 | 0.7112 | |
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| 0.2219 | 42.0 | 13104 | 0.3266 | 0.7076 | |
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| 0.2219 | 43.0 | 13416 | 0.3580 | 0.7184 | |
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| 0.2132 | 44.0 | 13728 | 0.3492 | 0.7148 | |
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| 0.2124 | 45.0 | 14040 | 0.3434 | 0.7184 | |
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| 0.2124 | 46.0 | 14352 | 0.3437 | 0.7112 | |
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| 0.2063 | 47.0 | 14664 | 0.3438 | 0.7004 | |
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| 0.2063 | 48.0 | 14976 | 0.3499 | 0.7184 | |
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| 0.2044 | 49.0 | 15288 | 0.3562 | 0.7148 | |
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| 0.1997 | 50.0 | 15600 | 0.3468 | 0.7076 | |
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| 0.1997 | 51.0 | 15912 | 0.3461 | 0.7112 | |
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| 0.1976 | 52.0 | 16224 | 0.3338 | 0.7076 | |
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| 0.2001 | 53.0 | 16536 | 0.3390 | 0.7112 | |
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| 0.2001 | 54.0 | 16848 | 0.3453 | 0.7040 | |
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| 0.1956 | 55.0 | 17160 | 0.3300 | 0.7076 | |
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| 0.1956 | 56.0 | 17472 | 0.3610 | 0.7004 | |
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| 0.1916 | 57.0 | 17784 | 0.3434 | 0.7040 | |
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| 0.1892 | 58.0 | 18096 | 0.3402 | 0.7076 | |
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| 0.1892 | 59.0 | 18408 | 0.3489 | 0.7112 | |
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| 0.1921 | 60.0 | 18720 | 0.3485 | 0.7040 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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