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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822185237'
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 20230822185237
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3335
- Accuracy: 0.6498
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log | 1.0 | 312 | 0.3589 | 0.5415 |
| 0.4381 | 2.0 | 624 | 0.3585 | 0.5560 |
| 0.4381 | 3.0 | 936 | 0.4824 | 0.4729 |
| 0.4251 | 4.0 | 1248 | 0.3497 | 0.5740 |
| 0.4013 | 5.0 | 1560 | 0.5515 | 0.5307 |
| 0.4013 | 6.0 | 1872 | 0.5300 | 0.5343 |
| 0.4064 | 7.0 | 2184 | 0.3515 | 0.4982 |
| 0.4064 | 8.0 | 2496 | 0.3456 | 0.5704 |
| 0.4121 | 9.0 | 2808 | 0.3522 | 0.5632 |
| 0.4048 | 10.0 | 3120 | 0.3437 | 0.5632 |
| 0.4048 | 11.0 | 3432 | 0.3483 | 0.5668 |
| 0.4035 | 12.0 | 3744 | 0.3952 | 0.4657 |
| 0.3797 | 13.0 | 4056 | 0.3535 | 0.4801 |
| 0.3797 | 14.0 | 4368 | 0.3443 | 0.5993 |
| 0.3657 | 15.0 | 4680 | 0.3431 | 0.5379 |
| 0.3657 | 16.0 | 4992 | 0.3478 | 0.5993 |
| 0.3615 | 17.0 | 5304 | 0.3475 | 0.6173 |
| 0.3573 | 18.0 | 5616 | 0.3539 | 0.6101 |
| 0.3573 | 19.0 | 5928 | 0.3384 | 0.6101 |
| 0.3552 | 20.0 | 6240 | 0.3483 | 0.6245 |
| 0.3545 | 21.0 | 6552 | 0.3359 | 0.6173 |
| 0.3545 | 22.0 | 6864 | 0.3844 | 0.5740 |
| 0.349 | 23.0 | 7176 | 0.3436 | 0.6498 |
| 0.349 | 24.0 | 7488 | 0.3422 | 0.6209 |
| 0.351 | 25.0 | 7800 | 0.3495 | 0.6318 |
| 0.3471 | 26.0 | 8112 | 0.3498 | 0.6101 |
| 0.3471 | 27.0 | 8424 | 0.3316 | 0.6462 |
| 0.3468 | 28.0 | 8736 | 0.3322 | 0.6751 |
| 0.3459 | 29.0 | 9048 | 0.3354 | 0.6390 |
| 0.3459 | 30.0 | 9360 | 0.3353 | 0.6390 |
| 0.344 | 31.0 | 9672 | 0.3383 | 0.6354 |
| 0.344 | 32.0 | 9984 | 0.3329 | 0.6245 |
| 0.3435 | 33.0 | 10296 | 0.3411 | 0.6390 |
| 0.3408 | 34.0 | 10608 | 0.3414 | 0.6354 |
| 0.3408 | 35.0 | 10920 | 0.3319 | 0.6534 |
| 0.3401 | 36.0 | 11232 | 0.3347 | 0.6282 |
| 0.3406 | 37.0 | 11544 | 0.3382 | 0.6137 |
| 0.3406 | 38.0 | 11856 | 0.3355 | 0.6245 |
| 0.3378 | 39.0 | 12168 | 0.3416 | 0.6245 |
| 0.3378 | 40.0 | 12480 | 0.3422 | 0.6209 |
| 0.3386 | 41.0 | 12792 | 0.3388 | 0.6390 |
| 0.3362 | 42.0 | 13104 | 0.3330 | 0.6390 |
| 0.3362 | 43.0 | 13416 | 0.3393 | 0.6282 |
| 0.3373 | 44.0 | 13728 | 0.3340 | 0.6282 |
| 0.3337 | 45.0 | 14040 | 0.3318 | 0.6390 |
| 0.3337 | 46.0 | 14352 | 0.3323 | 0.6354 |
| 0.3332 | 47.0 | 14664 | 0.3301 | 0.6643 |
| 0.3332 | 48.0 | 14976 | 0.3422 | 0.6282 |
| 0.3315 | 49.0 | 15288 | 0.3348 | 0.6570 |
| 0.33 | 50.0 | 15600 | 0.3366 | 0.6462 |
| 0.33 | 51.0 | 15912 | 0.3308 | 0.6570 |
| 0.331 | 52.0 | 16224 | 0.3298 | 0.6606 |
| 0.3295 | 53.0 | 16536 | 0.3377 | 0.6498 |
| 0.3295 | 54.0 | 16848 | 0.3439 | 0.6462 |
| 0.3282 | 55.0 | 17160 | 0.3326 | 0.6570 |
| 0.3282 | 56.0 | 17472 | 0.3356 | 0.6498 |
| 0.3291 | 57.0 | 17784 | 0.3309 | 0.6570 |
| 0.3278 | 58.0 | 18096 | 0.3333 | 0.6498 |
| 0.3278 | 59.0 | 18408 | 0.3324 | 0.6498 |
| 0.3292 | 60.0 | 18720 | 0.3335 | 0.6498 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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