---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822202056'
  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. -->

# 20230822202056

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: 0.1724
- Accuracy: 0.7112

## 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   | 0.1785          | 0.5307   |
| 0.2552        | 2.0   | 624   | 0.1826          | 0.5054   |
| 0.2552        | 3.0   | 936   | 0.3328          | 0.4729   |
| 0.24          | 4.0   | 1248  | 0.2050          | 0.4729   |
| 0.2369        | 5.0   | 1560  | 0.1750          | 0.6065   |
| 0.2369        | 6.0   | 1872  | 0.1752          | 0.4765   |
| 0.2199        | 7.0   | 2184  | 0.1799          | 0.5921   |
| 0.2199        | 8.0   | 2496  | 0.1896          | 0.4729   |
| 0.1955        | 9.0   | 2808  | 0.1727          | 0.6245   |
| 0.185         | 10.0  | 3120  | 0.1734          | 0.5668   |
| 0.185         | 11.0  | 3432  | 0.1781          | 0.5812   |
| 0.184         | 12.0  | 3744  | 0.1711          | 0.6318   |
| 0.1819        | 13.0  | 4056  | 0.1783          | 0.4910   |
| 0.1819        | 14.0  | 4368  | 0.1703          | 0.6534   |
| 0.1793        | 15.0  | 4680  | 0.1697          | 0.6931   |
| 0.1793        | 16.0  | 4992  | 0.1710          | 0.6643   |
| 0.179         | 17.0  | 5304  | 0.1728          | 0.6534   |
| 0.1784        | 18.0  | 5616  | 0.1712          | 0.6498   |
| 0.1784        | 19.0  | 5928  | 0.1726          | 0.6065   |
| 0.1778        | 20.0  | 6240  | 0.1720          | 0.6679   |
| 0.1761        | 21.0  | 6552  | 0.1724          | 0.6606   |
| 0.1761        | 22.0  | 6864  | 0.1792          | 0.6534   |
| 0.1761        | 23.0  | 7176  | 0.1700          | 0.6715   |
| 0.1761        | 24.0  | 7488  | 0.1698          | 0.6679   |
| 0.1748        | 25.0  | 7800  | 0.1697          | 0.6968   |
| 0.1744        | 26.0  | 8112  | 0.1729          | 0.6859   |
| 0.1744        | 27.0  | 8424  | 0.1702          | 0.6570   |
| 0.1736        | 28.0  | 8736  | 0.1708          | 0.6931   |
| 0.1723        | 29.0  | 9048  | 0.1698          | 0.6787   |
| 0.1723        | 30.0  | 9360  | 0.1799          | 0.6462   |
| 0.1735        | 31.0  | 9672  | 0.1727          | 0.6751   |
| 0.1735        | 32.0  | 9984  | 0.1732          | 0.6498   |
| 0.1722        | 33.0  | 10296 | 0.1702          | 0.6751   |
| 0.1709        | 34.0  | 10608 | 0.1707          | 0.6968   |
| 0.1709        | 35.0  | 10920 | 0.1714          | 0.6968   |
| 0.1697        | 36.0  | 11232 | 0.1712          | 0.6751   |
| 0.1696        | 37.0  | 11544 | 0.1788          | 0.6570   |
| 0.1696        | 38.0  | 11856 | 0.1703          | 0.6787   |
| 0.1697        | 39.0  | 12168 | 0.1735          | 0.6751   |
| 0.1697        | 40.0  | 12480 | 0.1740          | 0.6787   |
| 0.1683        | 41.0  | 12792 | 0.1710          | 0.6895   |
| 0.1688        | 42.0  | 13104 | 0.1724          | 0.7076   |
| 0.1688        | 43.0  | 13416 | 0.1718          | 0.7004   |
| 0.1679        | 44.0  | 13728 | 0.1736          | 0.7040   |
| 0.1681        | 45.0  | 14040 | 0.1720          | 0.7040   |
| 0.1681        | 46.0  | 14352 | 0.1717          | 0.7076   |
| 0.1664        | 47.0  | 14664 | 0.1710          | 0.6895   |
| 0.1664        | 48.0  | 14976 | 0.1766          | 0.6895   |
| 0.1662        | 49.0  | 15288 | 0.1729          | 0.7040   |
| 0.1655        | 50.0  | 15600 | 0.1704          | 0.7076   |
| 0.1655        | 51.0  | 15912 | 0.1711          | 0.7184   |
| 0.1665        | 52.0  | 16224 | 0.1709          | 0.7040   |
| 0.1651        | 53.0  | 16536 | 0.1711          | 0.6931   |
| 0.1651        | 54.0  | 16848 | 0.1736          | 0.7040   |
| 0.1646        | 55.0  | 17160 | 0.1712          | 0.7112   |
| 0.1646        | 56.0  | 17472 | 0.1740          | 0.7076   |
| 0.1647        | 57.0  | 17784 | 0.1723          | 0.7076   |
| 0.1642        | 58.0  | 18096 | 0.1715          | 0.7004   |
| 0.1642        | 59.0  | 18408 | 0.1727          | 0.7076   |
| 0.1643        | 60.0  | 18720 | 0.1724          | 0.7112   |


### Framework versions

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