---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230824104542'
  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. -->

# 20230824104542

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: 0.3421
- 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   | 1.0891          | 0.5307   |
| 0.5902        | 2.0   | 624   | 0.6221          | 0.4765   |
| 0.5902        | 3.0   | 936   | 0.4801          | 0.5379   |
| 0.5511        | 4.0   | 1248  | 0.4461          | 0.5054   |
| 0.5299        | 5.0   | 1560  | 0.5922          | 0.5162   |
| 0.5299        | 6.0   | 1872  | 0.4113          | 0.5199   |
| 0.509         | 7.0   | 2184  | 0.4885          | 0.5451   |
| 0.509         | 8.0   | 2496  | 0.4106          | 0.4910   |
| 0.4976        | 9.0   | 2808  | 0.5019          | 0.4874   |
| 0.4898        | 10.0  | 3120  | 0.4132          | 0.5307   |
| 0.4898        | 11.0  | 3432  | 0.4564          | 0.4874   |
| 0.4739        | 12.0  | 3744  | 0.4919          | 0.5307   |
| 0.4594        | 13.0  | 4056  | 0.4235          | 0.4982   |
| 0.4594        | 14.0  | 4368  | 0.3937          | 0.5812   |
| 0.4444        | 15.0  | 4680  | 0.3871          | 0.5812   |
| 0.4444        | 16.0  | 4992  | 0.4123          | 0.6065   |
| 0.4334        | 17.0  | 5304  | 0.3986          | 0.6209   |
| 0.4045        | 18.0  | 5616  | 0.4088          | 0.6029   |
| 0.4045        | 19.0  | 5928  | 0.3935          | 0.6209   |
| 0.3999        | 20.0  | 6240  | 0.3645          | 0.6715   |
| 0.376         | 21.0  | 6552  | 0.4230          | 0.5740   |
| 0.376         | 22.0  | 6864  | 0.3911          | 0.6823   |
| 0.3683        | 23.0  | 7176  | 0.5057          | 0.6534   |
| 0.3683        | 24.0  | 7488  | 0.3273          | 0.7040   |
| 0.3501        | 25.0  | 7800  | 0.3663          | 0.7004   |
| 0.344         | 26.0  | 8112  | 0.3755          | 0.6931   |
| 0.344         | 27.0  | 8424  | 0.3648          | 0.7112   |
| 0.3354        | 28.0  | 8736  | 0.3359          | 0.7148   |
| 0.3288        | 29.0  | 9048  | 0.3362          | 0.7112   |
| 0.3288        | 30.0  | 9360  | 0.5539          | 0.6787   |
| 0.3199        | 31.0  | 9672  | 0.3617          | 0.7112   |
| 0.3199        | 32.0  | 9984  | 0.3601          | 0.7184   |
| 0.3166        | 33.0  | 10296 | 0.3325          | 0.7292   |
| 0.3037        | 34.0  | 10608 | 0.3274          | 0.7256   |
| 0.3037        | 35.0  | 10920 | 0.3412          | 0.7076   |
| 0.2987        | 36.0  | 11232 | 0.3509          | 0.7256   |
| 0.2842        | 37.0  | 11544 | 0.3945          | 0.7076   |
| 0.2842        | 38.0  | 11856 | 0.3224          | 0.7365   |
| 0.2894        | 39.0  | 12168 | 0.4010          | 0.7148   |
| 0.2894        | 40.0  | 12480 | 0.3472          | 0.7220   |
| 0.2764        | 41.0  | 12792 | 0.3364          | 0.7112   |
| 0.2708        | 42.0  | 13104 | 0.3379          | 0.7040   |
| 0.2708        | 43.0  | 13416 | 0.3625          | 0.7148   |
| 0.2665        | 44.0  | 13728 | 0.3435          | 0.7220   |
| 0.265         | 45.0  | 14040 | 0.3762          | 0.7292   |
| 0.265         | 46.0  | 14352 | 0.3322          | 0.7220   |
| 0.2618        | 47.0  | 14664 | 0.3265          | 0.7329   |
| 0.2618        | 48.0  | 14976 | 0.3752          | 0.7292   |
| 0.2513        | 49.0  | 15288 | 0.3415          | 0.7292   |
| 0.2487        | 50.0  | 15600 | 0.3604          | 0.7220   |
| 0.2487        | 51.0  | 15912 | 0.3484          | 0.7292   |
| 0.2488        | 52.0  | 16224 | 0.3598          | 0.7329   |
| 0.2404        | 53.0  | 16536 | 0.3719          | 0.7184   |
| 0.2404        | 54.0  | 16848 | 0.3329          | 0.7220   |
| 0.2359        | 55.0  | 17160 | 0.3535          | 0.7220   |
| 0.2359        | 56.0  | 17472 | 0.3606          | 0.7256   |
| 0.2364        | 57.0  | 17784 | 0.3407          | 0.7292   |
| 0.2343        | 58.0  | 18096 | 0.3342          | 0.7292   |
| 0.2343        | 59.0  | 18408 | 0.3451          | 0.7220   |
| 0.2348        | 60.0  | 18720 | 0.3421          | 0.7256   |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3