---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230824023615'
  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. -->

# 20230824023615

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: 0.0725
- Accuracy: 0.7365

## 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   | 0.6124          | 0.5271   |
| 0.3459        | 2.0   | 624   | 0.2937          | 0.4729   |
| 0.3459        | 3.0   | 936   | 0.4930          | 0.4693   |
| 0.2482        | 4.0   | 1248  | 0.1965          | 0.4693   |
| 0.2242        | 5.0   | 1560  | 0.2537          | 0.4693   |
| 0.2242        | 6.0   | 1872  | 0.1661          | 0.5632   |
| 0.2359        | 7.0   | 2184  | 0.1414          | 0.6570   |
| 0.2359        | 8.0   | 2496  | 0.1893          | 0.5018   |
| 0.2404        | 9.0   | 2808  | 0.1265          | 0.6173   |
| 0.2198        | 10.0  | 3120  | 0.1214          | 0.6679   |
| 0.2198        | 11.0  | 3432  | 0.1352          | 0.6029   |
| 0.1657        | 12.0  | 3744  | 0.1030          | 0.7040   |
| 0.1472        | 13.0  | 4056  | 0.1043          | 0.6931   |
| 0.1472        | 14.0  | 4368  | 0.1011          | 0.7004   |
| 0.1408        | 15.0  | 4680  | 0.1111          | 0.7148   |
| 0.1408        | 16.0  | 4992  | 0.1046          | 0.6931   |
| 0.1321        | 17.0  | 5304  | 0.0964          | 0.7004   |
| 0.1285        | 18.0  | 5616  | 0.1019          | 0.7220   |
| 0.1285        | 19.0  | 5928  | 0.0927          | 0.7256   |
| 0.1244        | 20.0  | 6240  | 0.0972          | 0.7004   |
| 0.1191        | 21.0  | 6552  | 0.0947          | 0.7076   |
| 0.1191        | 22.0  | 6864  | 0.0983          | 0.7184   |
| 0.1129        | 23.0  | 7176  | 0.1029          | 0.7040   |
| 0.1129        | 24.0  | 7488  | 0.0993          | 0.7112   |
| 0.1115        | 25.0  | 7800  | 0.0933          | 0.7076   |
| 0.1079        | 26.0  | 8112  | 0.1092          | 0.6931   |
| 0.1079        | 27.0  | 8424  | 0.0837          | 0.7437   |
| 0.105         | 28.0  | 8736  | 0.0825          | 0.7256   |
| 0.1049        | 29.0  | 9048  | 0.0809          | 0.7148   |
| 0.1049        | 30.0  | 9360  | 0.0924          | 0.7256   |
| 0.1021        | 31.0  | 9672  | 0.0820          | 0.7292   |
| 0.1021        | 32.0  | 9984  | 0.0793          | 0.7256   |
| 0.099         | 33.0  | 10296 | 0.0820          | 0.7365   |
| 0.0966        | 34.0  | 10608 | 0.0831          | 0.7184   |
| 0.0966        | 35.0  | 10920 | 0.0796          | 0.7256   |
| 0.0928        | 36.0  | 11232 | 0.0790          | 0.7292   |
| 0.0888        | 37.0  | 11544 | 0.0953          | 0.7256   |
| 0.0888        | 38.0  | 11856 | 0.0791          | 0.7437   |
| 0.0905        | 39.0  | 12168 | 0.0849          | 0.7473   |
| 0.0905        | 40.0  | 12480 | 0.0782          | 0.7401   |
| 0.0872        | 41.0  | 12792 | 0.0754          | 0.7292   |
| 0.0853        | 42.0  | 13104 | 0.0770          | 0.7365   |
| 0.0853        | 43.0  | 13416 | 0.0742          | 0.7473   |
| 0.0843        | 44.0  | 13728 | 0.0764          | 0.7220   |
| 0.0826        | 45.0  | 14040 | 0.0765          | 0.7256   |
| 0.0826        | 46.0  | 14352 | 0.0746          | 0.7365   |
| 0.0811        | 47.0  | 14664 | 0.0736          | 0.7292   |
| 0.0811        | 48.0  | 14976 | 0.0824          | 0.7292   |
| 0.079         | 49.0  | 15288 | 0.0749          | 0.7401   |
| 0.0783        | 50.0  | 15600 | 0.0734          | 0.7401   |
| 0.0783        | 51.0  | 15912 | 0.0740          | 0.7401   |
| 0.0806        | 52.0  | 16224 | 0.0749          | 0.7365   |
| 0.078         | 53.0  | 16536 | 0.0729          | 0.7365   |
| 0.078         | 54.0  | 16848 | 0.0728          | 0.7401   |
| 0.0764        | 55.0  | 17160 | 0.0722          | 0.7437   |
| 0.0764        | 56.0  | 17472 | 0.0745          | 0.7365   |
| 0.0766        | 57.0  | 17784 | 0.0730          | 0.7329   |
| 0.0751        | 58.0  | 18096 | 0.0725          | 0.7401   |
| 0.0751        | 59.0  | 18408 | 0.0730          | 0.7365   |
| 0.0765        | 60.0  | 18720 | 0.0725          | 0.7365   |


### Framework versions

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