---
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