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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822235943'
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. -->
# 20230822235943
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: 0.9555
- Accuracy: 0.7437
## 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: 0.003
- train_batch_size: 16
- 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 | 156 | 0.8690 | 0.4729 |
| No log | 2.0 | 312 | 0.7262 | 0.5271 |
| No log | 3.0 | 468 | 0.7646 | 0.4693 |
| 0.8294 | 4.0 | 624 | 0.7044 | 0.5884 |
| 0.8294 | 5.0 | 780 | 0.7099 | 0.5884 |
| 0.8294 | 6.0 | 936 | 0.6449 | 0.6245 |
| 0.785 | 7.0 | 1092 | 0.7755 | 0.6245 |
| 0.785 | 8.0 | 1248 | 0.6443 | 0.6606 |
| 0.785 | 9.0 | 1404 | 0.6349 | 0.6859 |
| 0.6665 | 10.0 | 1560 | 0.9544 | 0.6462 |
| 0.6665 | 11.0 | 1716 | 0.6008 | 0.7184 |
| 0.6665 | 12.0 | 1872 | 0.6503 | 0.7076 |
| 0.6276 | 13.0 | 2028 | 0.6269 | 0.7076 |
| 0.6276 | 14.0 | 2184 | 0.5788 | 0.7148 |
| 0.6276 | 15.0 | 2340 | 0.6645 | 0.7076 |
| 0.6276 | 16.0 | 2496 | 0.9684 | 0.6426 |
| 0.587 | 17.0 | 2652 | 0.6227 | 0.7184 |
| 0.587 | 18.0 | 2808 | 0.6449 | 0.7076 |
| 0.587 | 19.0 | 2964 | 0.6651 | 0.7365 |
| 0.5287 | 20.0 | 3120 | 1.1324 | 0.6498 |
| 0.5287 | 21.0 | 3276 | 0.7391 | 0.6895 |
| 0.5287 | 22.0 | 3432 | 1.0194 | 0.6643 |
| 0.5035 | 23.0 | 3588 | 0.7838 | 0.7040 |
| 0.5035 | 24.0 | 3744 | 0.8647 | 0.7184 |
| 0.5035 | 25.0 | 3900 | 1.0974 | 0.6715 |
| 0.4533 | 26.0 | 4056 | 0.5861 | 0.7292 |
| 0.4533 | 27.0 | 4212 | 0.6685 | 0.7437 |
| 0.4533 | 28.0 | 4368 | 0.6998 | 0.7256 |
| 0.4398 | 29.0 | 4524 | 0.7596 | 0.7329 |
| 0.4398 | 30.0 | 4680 | 0.6967 | 0.7437 |
| 0.4398 | 31.0 | 4836 | 0.7041 | 0.7473 |
| 0.4398 | 32.0 | 4992 | 0.7617 | 0.7329 |
| 0.3837 | 33.0 | 5148 | 0.7991 | 0.7329 |
| 0.3837 | 34.0 | 5304 | 0.8229 | 0.7473 |
| 0.3837 | 35.0 | 5460 | 0.7745 | 0.7401 |
| 0.3471 | 36.0 | 5616 | 0.7787 | 0.7437 |
| 0.3471 | 37.0 | 5772 | 0.7991 | 0.7365 |
| 0.3471 | 38.0 | 5928 | 1.0206 | 0.7256 |
| 0.3303 | 39.0 | 6084 | 0.8977 | 0.7292 |
| 0.3303 | 40.0 | 6240 | 0.7327 | 0.7220 |
| 0.3303 | 41.0 | 6396 | 0.8102 | 0.7292 |
| 0.2991 | 42.0 | 6552 | 0.7347 | 0.7473 |
| 0.2991 | 43.0 | 6708 | 0.8677 | 0.7473 |
| 0.2991 | 44.0 | 6864 | 0.9774 | 0.7365 |
| 0.275 | 45.0 | 7020 | 0.8557 | 0.7581 |
| 0.275 | 46.0 | 7176 | 0.9789 | 0.7437 |
| 0.275 | 47.0 | 7332 | 1.0015 | 0.7437 |
| 0.275 | 48.0 | 7488 | 0.8450 | 0.7401 |
| 0.2596 | 49.0 | 7644 | 0.8222 | 0.7581 |
| 0.2596 | 50.0 | 7800 | 0.8968 | 0.7401 |
| 0.2596 | 51.0 | 7956 | 0.8584 | 0.7437 |
| 0.2469 | 52.0 | 8112 | 0.9157 | 0.7401 |
| 0.2469 | 53.0 | 8268 | 0.9732 | 0.7365 |
| 0.2469 | 54.0 | 8424 | 1.0671 | 0.7401 |
| 0.2303 | 55.0 | 8580 | 0.9512 | 0.7473 |
| 0.2303 | 56.0 | 8736 | 0.8708 | 0.7473 |
| 0.2303 | 57.0 | 8892 | 0.9290 | 0.7437 |
| 0.2275 | 58.0 | 9048 | 0.8866 | 0.7401 |
| 0.2275 | 59.0 | 9204 | 0.9366 | 0.7365 |
| 0.2275 | 60.0 | 9360 | 0.9555 | 0.7437 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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