---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230823054903'
  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. -->

# 20230823054903

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: 0.0697
- Accuracy: 0.5271

## 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: 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   | 0.0788          | 0.5271   |
| 0.1715        | 2.0   | 624   | 0.2059          | 0.4729   |
| 0.1715        | 3.0   | 936   | 0.1134          | 0.4729   |
| 0.1222        | 4.0   | 1248  | 0.0831          | 0.5343   |
| 0.1187        | 5.0   | 1560  | 0.0732          | 0.5704   |
| 0.1187        | 6.0   | 1872  | 0.0796          | 0.4729   |
| 0.0991        | 7.0   | 2184  | 0.0745          | 0.4729   |
| 0.0991        | 8.0   | 2496  | 0.0716          | 0.4982   |
| 0.0819        | 9.0   | 2808  | 0.0705          | 0.4910   |
| 0.0807        | 10.0  | 3120  | 0.0702          | 0.4765   |
| 0.0807        | 11.0  | 3432  | 0.0713          | 0.4729   |
| 0.0802        | 12.0  | 3744  | 0.0703          | 0.4729   |
| 0.0795        | 13.0  | 4056  | 0.0784          | 0.4729   |
| 0.0795        | 14.0  | 4368  | 0.0706          | 0.5307   |
| 0.0794        | 15.0  | 4680  | 0.0730          | 0.4729   |
| 0.0794        | 16.0  | 4992  | 0.0706          | 0.4801   |
| 0.0806        | 17.0  | 5304  | 0.0711          | 0.5596   |
| 0.0811        | 18.0  | 5616  | 0.0704          | 0.4693   |
| 0.0811        | 19.0  | 5928  | 0.0701          | 0.4874   |
| 0.0798        | 20.0  | 6240  | 0.0719          | 0.6101   |
| 0.0793        | 21.0  | 6552  | 0.0705          | 0.4693   |
| 0.0793        | 22.0  | 6864  | 0.0707          | 0.5884   |
| 0.0795        | 23.0  | 7176  | 0.0712          | 0.4729   |
| 0.0795        | 24.0  | 7488  | 0.0705          | 0.4729   |
| 0.0796        | 25.0  | 7800  | 0.0789          | 0.5271   |
| 0.0796        | 26.0  | 8112  | 0.0705          | 0.4801   |
| 0.0796        | 27.0  | 8424  | 0.0703          | 0.4765   |
| 0.0787        | 28.0  | 8736  | 0.0703          | 0.4838   |
| 0.079         | 29.0  | 9048  | 0.0716          | 0.4729   |
| 0.079         | 30.0  | 9360  | 0.0739          | 0.5704   |
| 0.0788        | 31.0  | 9672  | 0.0749          | 0.5632   |
| 0.0788        | 32.0  | 9984  | 0.0711          | 0.4729   |
| 0.0789        | 33.0  | 10296 | 0.0705          | 0.4838   |
| 0.0786        | 34.0  | 10608 | 0.0700          | 0.5199   |
| 0.0786        | 35.0  | 10920 | 0.0699          | 0.4838   |
| 0.0785        | 36.0  | 11232 | 0.0715          | 0.4729   |
| 0.0784        | 37.0  | 11544 | 0.0716          | 0.6354   |
| 0.0784        | 38.0  | 11856 | 0.0719          | 0.4729   |
| 0.0781        | 39.0  | 12168 | 0.0700          | 0.5487   |
| 0.0781        | 40.0  | 12480 | 0.0700          | 0.5848   |
| 0.0778        | 41.0  | 12792 | 0.0704          | 0.6173   |
| 0.0778        | 42.0  | 13104 | 0.0705          | 0.5848   |
| 0.0778        | 43.0  | 13416 | 0.0705          | 0.6209   |
| 0.078         | 44.0  | 13728 | 0.0701          | 0.5199   |
| 0.0776        | 45.0  | 14040 | 0.0704          | 0.5957   |
| 0.0776        | 46.0  | 14352 | 0.0702          | 0.5848   |
| 0.0772        | 47.0  | 14664 | 0.0703          | 0.4765   |
| 0.0772        | 48.0  | 14976 | 0.0697          | 0.5379   |
| 0.0773        | 49.0  | 15288 | 0.0696          | 0.5596   |
| 0.0772        | 50.0  | 15600 | 0.0702          | 0.4765   |
| 0.0772        | 51.0  | 15912 | 0.0701          | 0.4801   |
| 0.0776        | 52.0  | 16224 | 0.0706          | 0.4729   |
| 0.0772        | 53.0  | 16536 | 0.0698          | 0.5054   |
| 0.0772        | 54.0  | 16848 | 0.0706          | 0.6318   |
| 0.0766        | 55.0  | 17160 | 0.0708          | 0.4765   |
| 0.0766        | 56.0  | 17472 | 0.0700          | 0.6209   |
| 0.0766        | 57.0  | 17784 | 0.0697          | 0.5307   |
| 0.0767        | 58.0  | 18096 | 0.0700          | 0.4801   |
| 0.0767        | 59.0  | 18408 | 0.0697          | 0.5235   |
| 0.0767        | 60.0  | 18720 | 0.0697          | 0.5271   |


### Framework versions

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