---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230817093322'
  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. -->

# 20230817093322

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: 0.3504
- Accuracy: 0.7256

## 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: 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   | 0.5126          | 0.5235   |
| 0.5126        | 2.0   | 624   | 0.3824          | 0.4765   |
| 0.5126        | 3.0   | 936   | 0.3692          | 0.4910   |
| 0.4613        | 4.0   | 1248  | 0.3941          | 0.5343   |
| 0.446         | 5.0   | 1560  | 0.6773          | 0.5271   |
| 0.446         | 6.0   | 1872  | 0.5516          | 0.5271   |
| 0.4477        | 7.0   | 2184  | 0.3517          | 0.5199   |
| 0.4477        | 8.0   | 2496  | 0.3772          | 0.4910   |
| 0.4263        | 9.0   | 2808  | 0.3690          | 0.4838   |
| 0.4397        | 10.0  | 3120  | 0.3512          | 0.4838   |
| 0.4397        | 11.0  | 3432  | 0.4716          | 0.5379   |
| 0.4425        | 12.0  | 3744  | 0.3605          | 0.6570   |
| 0.4269        | 13.0  | 4056  | 0.3571          | 0.5379   |
| 0.4269        | 14.0  | 4368  | 0.3545          | 0.4838   |
| 0.3975        | 15.0  | 4680  | 0.3744          | 0.6498   |
| 0.3975        | 16.0  | 4992  | 0.3578          | 0.6606   |
| 0.3906        | 17.0  | 5304  | 0.3704          | 0.6931   |
| 0.3633        | 18.0  | 5616  | 0.3356          | 0.6065   |
| 0.3633        | 19.0  | 5928  | 0.3397          | 0.6065   |
| 0.3604        | 20.0  | 6240  | 0.3809          | 0.6931   |
| 0.3565        | 21.0  | 6552  | 0.3357          | 0.6787   |
| 0.3565        | 22.0  | 6864  | 0.3803          | 0.6209   |
| 0.3533        | 23.0  | 7176  | 0.3754          | 0.6751   |
| 0.3533        | 24.0  | 7488  | 0.3304          | 0.6354   |
| 0.3462        | 25.0  | 7800  | 0.3700          | 0.6968   |
| 0.3432        | 26.0  | 8112  | 0.3337          | 0.7148   |
| 0.3432        | 27.0  | 8424  | 0.3289          | 0.6968   |
| 0.3409        | 28.0  | 8736  | 0.3340          | 0.7148   |
| 0.3381        | 29.0  | 9048  | 0.3467          | 0.7220   |
| 0.3381        | 30.0  | 9360  | 0.3860          | 0.6823   |
| 0.337         | 31.0  | 9672  | 0.3795          | 0.6931   |
| 0.337         | 32.0  | 9984  | 0.3755          | 0.7184   |
| 0.334         | 33.0  | 10296 | 0.3529          | 0.7112   |
| 0.3321        | 34.0  | 10608 | 0.3389          | 0.7076   |
| 0.3321        | 35.0  | 10920 | 0.3260          | 0.7148   |
| 0.3315        | 36.0  | 11232 | 0.3519          | 0.7329   |
| 0.3317        | 37.0  | 11544 | 0.3741          | 0.6968   |
| 0.3317        | 38.0  | 11856 | 0.3364          | 0.7112   |
| 0.325         | 39.0  | 12168 | 0.3438          | 0.7256   |
| 0.325         | 40.0  | 12480 | 0.3462          | 0.7148   |
| 0.3282        | 41.0  | 12792 | 0.3344          | 0.7256   |
| 0.3251        | 42.0  | 13104 | 0.3280          | 0.7256   |
| 0.3251        | 43.0  | 13416 | 0.3544          | 0.7148   |
| 0.3223        | 44.0  | 13728 | 0.3488          | 0.7256   |
| 0.3215        | 45.0  | 14040 | 0.3437          | 0.7220   |
| 0.3215        | 46.0  | 14352 | 0.3430          | 0.7220   |
| 0.3205        | 47.0  | 14664 | 0.3394          | 0.7076   |
| 0.3205        | 48.0  | 14976 | 0.3676          | 0.7076   |
| 0.3163        | 49.0  | 15288 | 0.3487          | 0.7365   |
| 0.3154        | 50.0  | 15600 | 0.3387          | 0.7148   |
| 0.3154        | 51.0  | 15912 | 0.3448          | 0.7076   |
| 0.3164        | 52.0  | 16224 | 0.3361          | 0.7220   |
| 0.3153        | 53.0  | 16536 | 0.3676          | 0.7040   |
| 0.3153        | 54.0  | 16848 | 0.3463          | 0.7256   |
| 0.3145        | 55.0  | 17160 | 0.3491          | 0.7329   |
| 0.3145        | 56.0  | 17472 | 0.3599          | 0.7040   |
| 0.3151        | 57.0  | 17784 | 0.3457          | 0.7292   |
| 0.3103        | 58.0  | 18096 | 0.3489          | 0.7220   |
| 0.3103        | 59.0  | 18408 | 0.3481          | 0.7256   |
| 0.314         | 60.0  | 18720 | 0.3504          | 0.7256   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3