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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: 2_4e-3_1_0.1
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. -->
# 2_4e-3_1_0.1
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the super_glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5293
- Accuracy: 0.7272
## 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: 0.004
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8756 | 1.0 | 590 | 0.9984 | 0.6211 |
| 0.8309 | 2.0 | 1180 | 0.7494 | 0.6217 |
| 0.8162 | 3.0 | 1770 | 0.8910 | 0.3826 |
| 0.8025 | 4.0 | 2360 | 0.6504 | 0.6028 |
| 0.8059 | 5.0 | 2950 | 0.6535 | 0.5945 |
| 0.768 | 6.0 | 3540 | 0.6293 | 0.6291 |
| 0.7423 | 7.0 | 4130 | 0.9356 | 0.4339 |
| 0.7272 | 8.0 | 4720 | 0.7985 | 0.6220 |
| 0.7076 | 9.0 | 5310 | 0.6240 | 0.6541 |
| 0.6803 | 10.0 | 5900 | 0.6284 | 0.6639 |
| 0.6637 | 11.0 | 6490 | 0.6013 | 0.6691 |
| 0.6217 | 12.0 | 7080 | 0.5783 | 0.6725 |
| 0.6169 | 13.0 | 7670 | 0.5657 | 0.6841 |
| 0.5962 | 14.0 | 8260 | 0.6273 | 0.6618 |
| 0.5937 | 15.0 | 8850 | 0.5982 | 0.6725 |
| 0.5811 | 16.0 | 9440 | 0.6778 | 0.5997 |
| 0.5534 | 17.0 | 10030 | 0.5478 | 0.7028 |
| 0.5641 | 18.0 | 10620 | 0.5615 | 0.7034 |
| 0.5588 | 19.0 | 11210 | 0.5467 | 0.7076 |
| 0.5611 | 20.0 | 11800 | 0.5505 | 0.7058 |
| 0.5423 | 21.0 | 12390 | 0.5617 | 0.7086 |
| 0.5372 | 22.0 | 12980 | 0.5483 | 0.7003 |
| 0.5387 | 23.0 | 13570 | 0.5560 | 0.7113 |
| 0.5274 | 24.0 | 14160 | 0.5278 | 0.7131 |
| 0.5242 | 25.0 | 14750 | 0.5377 | 0.7150 |
| 0.5256 | 26.0 | 15340 | 0.5796 | 0.6856 |
| 0.5203 | 27.0 | 15930 | 0.5456 | 0.6976 |
| 0.5087 | 28.0 | 16520 | 0.5365 | 0.7199 |
| 0.5127 | 29.0 | 17110 | 0.5419 | 0.7049 |
| 0.5005 | 30.0 | 17700 | 0.5417 | 0.7257 |
| 0.5008 | 31.0 | 18290 | 0.5257 | 0.7116 |
| 0.4959 | 32.0 | 18880 | 0.5463 | 0.7232 |
| 0.4931 | 33.0 | 19470 | 0.5251 | 0.7260 |
| 0.4849 | 34.0 | 20060 | 0.5282 | 0.7217 |
| 0.4733 | 35.0 | 20650 | 0.5296 | 0.7199 |
| 0.4842 | 36.0 | 21240 | 0.5230 | 0.7229 |
| 0.4811 | 37.0 | 21830 | 0.5264 | 0.7232 |
| 0.4683 | 38.0 | 22420 | 0.5518 | 0.7058 |
| 0.4692 | 39.0 | 23010 | 0.5256 | 0.7300 |
| 0.4621 | 40.0 | 23600 | 0.5292 | 0.7303 |
| 0.4624 | 41.0 | 24190 | 0.5467 | 0.7110 |
| 0.4618 | 42.0 | 24780 | 0.5189 | 0.7324 |
| 0.465 | 43.0 | 25370 | 0.5285 | 0.7330 |
| 0.453 | 44.0 | 25960 | 0.5577 | 0.7113 |
| 0.4533 | 45.0 | 26550 | 0.5170 | 0.7343 |
| 0.4524 | 46.0 | 27140 | 0.5219 | 0.7223 |
| 0.4454 | 47.0 | 27730 | 0.5367 | 0.7257 |
| 0.4401 | 48.0 | 28320 | 0.5251 | 0.7339 |
| 0.4547 | 49.0 | 28910 | 0.5300 | 0.7254 |
| 0.4374 | 50.0 | 29500 | 0.5318 | 0.7278 |
| 0.444 | 51.0 | 30090 | 0.5317 | 0.7239 |
| 0.4363 | 52.0 | 30680 | 0.5309 | 0.7306 |
| 0.4381 | 53.0 | 31270 | 0.5206 | 0.7312 |
| 0.4314 | 54.0 | 31860 | 0.5283 | 0.7269 |
| 0.4334 | 55.0 | 32450 | 0.5254 | 0.7278 |
| 0.43 | 56.0 | 33040 | 0.5317 | 0.7278 |
| 0.4194 | 57.0 | 33630 | 0.5261 | 0.7272 |
| 0.4341 | 58.0 | 34220 | 0.5266 | 0.7300 |
| 0.4243 | 59.0 | 34810 | 0.5269 | 0.7275 |
| 0.4191 | 60.0 | 35400 | 0.5293 | 0.7272 |
### Framework versions
- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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