---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230825091928'
  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. -->

# 20230825091928

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: 0.1543
- Accuracy: 0.7437

## 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: 0.005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 80.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 156   | 0.6113          | 0.5307   |
| No log        | 2.0   | 312   | 0.9432          | 0.4693   |
| No log        | 3.0   | 468   | 0.9610          | 0.4729   |
| 0.8937        | 4.0   | 624   | 0.5415          | 0.5487   |
| 0.8937        | 5.0   | 780   | 0.4722          | 0.6209   |
| 0.8937        | 6.0   | 936   | 0.4314          | 0.6390   |
| 0.7579        | 7.0   | 1092  | 0.7937          | 0.5704   |
| 0.7579        | 8.0   | 1248  | 0.4160          | 0.6282   |
| 0.7579        | 9.0   | 1404  | 0.3071          | 0.6787   |
| 0.7059        | 10.0  | 1560  | 0.4325          | 0.6498   |
| 0.7059        | 11.0  | 1716  | 0.7958          | 0.5090   |
| 0.7059        | 12.0  | 1872  | 0.3046          | 0.6823   |
| 0.654         | 13.0  | 2028  | 0.3405          | 0.7220   |
| 0.654         | 14.0  | 2184  | 0.2875          | 0.6751   |
| 0.654         | 15.0  | 2340  | 0.4266          | 0.6426   |
| 0.654         | 16.0  | 2496  | 0.5710          | 0.5957   |
| 0.6649        | 17.0  | 2652  | 0.3009          | 0.7256   |
| 0.6649        | 18.0  | 2808  | 0.7588          | 0.6534   |
| 0.6649        | 19.0  | 2964  | 0.2785          | 0.7292   |
| 0.5523        | 20.0  | 3120  | 0.2400          | 0.6895   |
| 0.5523        | 21.0  | 3276  | 0.2582          | 0.6859   |
| 0.5523        | 22.0  | 3432  | 0.3514          | 0.6462   |
| 0.511         | 23.0  | 3588  | 0.2163          | 0.7112   |
| 0.511         | 24.0  | 3744  | 0.2226          | 0.7076   |
| 0.511         | 25.0  | 3900  | 0.2138          | 0.7148   |
| 0.4948        | 26.0  | 4056  | 0.2851          | 0.7437   |
| 0.4948        | 27.0  | 4212  | 0.2584          | 0.7220   |
| 0.4948        | 28.0  | 4368  | 0.2217          | 0.7401   |
| 0.4342        | 29.0  | 4524  | 0.2014          | 0.7076   |
| 0.4342        | 30.0  | 4680  | 0.1907          | 0.7184   |
| 0.4342        | 31.0  | 4836  | 0.2176          | 0.7076   |
| 0.4342        | 32.0  | 4992  | 0.1863          | 0.7184   |
| 0.4098        | 33.0  | 5148  | 0.1862          | 0.7292   |
| 0.4098        | 34.0  | 5304  | 0.2253          | 0.7292   |
| 0.4098        | 35.0  | 5460  | 0.1960          | 0.7256   |
| 0.3743        | 36.0  | 5616  | 0.2416          | 0.7401   |
| 0.3743        | 37.0  | 5772  | 0.1988          | 0.7292   |
| 0.3743        | 38.0  | 5928  | 0.2031          | 0.7076   |
| 0.3477        | 39.0  | 6084  | 0.1847          | 0.7292   |
| 0.3477        | 40.0  | 6240  | 0.2001          | 0.7220   |
| 0.3477        | 41.0  | 6396  | 0.1955          | 0.7401   |
| 0.3221        | 42.0  | 6552  | 0.2075          | 0.7329   |
| 0.3221        | 43.0  | 6708  | 0.1751          | 0.7365   |
| 0.3221        | 44.0  | 6864  | 0.2256          | 0.7148   |
| 0.3034        | 45.0  | 7020  | 0.1913          | 0.7329   |
| 0.3034        | 46.0  | 7176  | 0.1867          | 0.7437   |
| 0.3034        | 47.0  | 7332  | 0.1842          | 0.7292   |
| 0.3034        | 48.0  | 7488  | 0.1719          | 0.7365   |
| 0.2656        | 49.0  | 7644  | 0.1810          | 0.7617   |
| 0.2656        | 50.0  | 7800  | 0.2172          | 0.7256   |
| 0.2656        | 51.0  | 7956  | 0.2065          | 0.7545   |
| 0.2676        | 52.0  | 8112  | 0.1682          | 0.7473   |
| 0.2676        | 53.0  | 8268  | 0.1819          | 0.7329   |
| 0.2676        | 54.0  | 8424  | 0.1703          | 0.7509   |
| 0.2396        | 55.0  | 8580  | 0.1971          | 0.7509   |
| 0.2396        | 56.0  | 8736  | 0.1889          | 0.7365   |
| 0.2396        | 57.0  | 8892  | 0.2933          | 0.6968   |
| 0.2355        | 58.0  | 9048  | 0.1650          | 0.7509   |
| 0.2355        | 59.0  | 9204  | 0.1760          | 0.7473   |
| 0.2355        | 60.0  | 9360  | 0.1553          | 0.7581   |
| 0.2196        | 61.0  | 9516  | 0.1707          | 0.7437   |
| 0.2196        | 62.0  | 9672  | 0.1933          | 0.7401   |
| 0.2196        | 63.0  | 9828  | 0.1726          | 0.7401   |
| 0.2196        | 64.0  | 9984  | 0.1654          | 0.7509   |
| 0.2114        | 65.0  | 10140 | 0.1783          | 0.7401   |
| 0.2114        | 66.0  | 10296 | 0.1724          | 0.7473   |
| 0.2114        | 67.0  | 10452 | 0.1647          | 0.7473   |
| 0.208         | 68.0  | 10608 | 0.1734          | 0.7437   |
| 0.208         | 69.0  | 10764 | 0.1640          | 0.7365   |
| 0.208         | 70.0  | 10920 | 0.1953          | 0.7329   |
| 0.2014        | 71.0  | 11076 | 0.1550          | 0.7509   |
| 0.2014        | 72.0  | 11232 | 0.1781          | 0.7509   |
| 0.2014        | 73.0  | 11388 | 0.1687          | 0.7365   |
| 0.1906        | 74.0  | 11544 | 0.1695          | 0.7473   |
| 0.1906        | 75.0  | 11700 | 0.1560          | 0.7509   |
| 0.1906        | 76.0  | 11856 | 0.1532          | 0.7509   |
| 0.1864        | 77.0  | 12012 | 0.1524          | 0.7401   |
| 0.1864        | 78.0  | 12168 | 0.1537          | 0.7545   |
| 0.1864        | 79.0  | 12324 | 0.1531          | 0.7509   |
| 0.1864        | 80.0  | 12480 | 0.1543          | 0.7437   |


### Framework versions

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