---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230824064444'
  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. -->

# 20230824064444

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: 0.0709
- Accuracy: 0.7329

## 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   | 0.4733          | 0.5307   |
| 0.3538        | 2.0   | 624   | 0.1917          | 0.5126   |
| 0.3538        | 3.0   | 936   | 0.1696          | 0.5560   |
| 0.2775        | 4.0   | 1248  | 0.1700          | 0.5271   |
| 0.2538        | 5.0   | 1560  | 0.3497          | 0.5343   |
| 0.2538        | 6.0   | 1872  | 0.2183          | 0.5632   |
| 0.259         | 7.0   | 2184  | 0.1783          | 0.5018   |
| 0.259         | 8.0   | 2496  | 0.2321          | 0.5848   |
| 0.2587        | 9.0   | 2808  | 0.2081          | 0.6101   |
| 0.2211        | 10.0  | 3120  | 0.1194          | 0.6715   |
| 0.2211        | 11.0  | 3432  | 0.1505          | 0.6390   |
| 0.198         | 12.0  | 3744  | 0.1130          | 0.7004   |
| 0.1939        | 13.0  | 4056  | 0.1187          | 0.6679   |
| 0.1939        | 14.0  | 4368  | 0.1175          | 0.6787   |
| 0.1687        | 15.0  | 4680  | 0.1092          | 0.7040   |
| 0.1687        | 16.0  | 4992  | 0.0984          | 0.7076   |
| 0.1511        | 17.0  | 5304  | 0.1032          | 0.7076   |
| 0.1448        | 18.0  | 5616  | 0.1024          | 0.7401   |
| 0.1448        | 19.0  | 5928  | 0.0902          | 0.7112   |
| 0.1392        | 20.0  | 6240  | 0.0972          | 0.7112   |
| 0.1283        | 21.0  | 6552  | 0.0880          | 0.7184   |
| 0.1283        | 22.0  | 6864  | 0.0892          | 0.7329   |
| 0.1257        | 23.0  | 7176  | 0.1156          | 0.7401   |
| 0.1257        | 24.0  | 7488  | 0.0940          | 0.7329   |
| 0.1215        | 25.0  | 7800  | 0.0876          | 0.7401   |
| 0.1184        | 26.0  | 8112  | 0.1289          | 0.7437   |
| 0.1184        | 27.0  | 8424  | 0.0808          | 0.7256   |
| 0.1112        | 28.0  | 8736  | 0.0823          | 0.7401   |
| 0.1139        | 29.0  | 9048  | 0.0838          | 0.7256   |
| 0.1139        | 30.0  | 9360  | 0.0855          | 0.7220   |
| 0.1095        | 31.0  | 9672  | 0.0813          | 0.7256   |
| 0.1095        | 32.0  | 9984  | 0.0765          | 0.7256   |
| 0.106         | 33.0  | 10296 | 0.0847          | 0.7365   |
| 0.1034        | 34.0  | 10608 | 0.0844          | 0.7509   |
| 0.1034        | 35.0  | 10920 | 0.0811          | 0.7184   |
| 0.0991        | 36.0  | 11232 | 0.0811          | 0.7292   |
| 0.0938        | 37.0  | 11544 | 0.0847          | 0.7365   |
| 0.0938        | 38.0  | 11856 | 0.0824          | 0.7256   |
| 0.0973        | 39.0  | 12168 | 0.0760          | 0.7292   |
| 0.0973        | 40.0  | 12480 | 0.0786          | 0.7220   |
| 0.0908        | 41.0  | 12792 | 0.0732          | 0.7473   |
| 0.0894        | 42.0  | 13104 | 0.0763          | 0.7401   |
| 0.0894        | 43.0  | 13416 | 0.0811          | 0.7365   |
| 0.0896        | 44.0  | 13728 | 0.0734          | 0.7473   |
| 0.0882        | 45.0  | 14040 | 0.0747          | 0.7329   |
| 0.0882        | 46.0  | 14352 | 0.0729          | 0.7401   |
| 0.0847        | 47.0  | 14664 | 0.0723          | 0.7329   |
| 0.0847        | 48.0  | 14976 | 0.0748          | 0.7401   |
| 0.0854        | 49.0  | 15288 | 0.0755          | 0.7292   |
| 0.0813        | 50.0  | 15600 | 0.0715          | 0.7329   |
| 0.0813        | 51.0  | 15912 | 0.0719          | 0.7292   |
| 0.0845        | 52.0  | 16224 | 0.0721          | 0.7401   |
| 0.0821        | 53.0  | 16536 | 0.0711          | 0.7292   |
| 0.0821        | 54.0  | 16848 | 0.0714          | 0.7437   |
| 0.0802        | 55.0  | 17160 | 0.0711          | 0.7401   |
| 0.0802        | 56.0  | 17472 | 0.0718          | 0.7329   |
| 0.0798        | 57.0  | 17784 | 0.0708          | 0.7220   |
| 0.0796        | 58.0  | 18096 | 0.0715          | 0.7365   |
| 0.0796        | 59.0  | 18408 | 0.0712          | 0.7329   |
| 0.0806        | 60.0  | 18720 | 0.0709          | 0.7329   |


### Framework versions

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