---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230825183857'
  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. -->

# 20230825183857

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: 0.5542
- Accuracy: 0.7545

## 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   | 1.3372          | 0.5307   |
| No log        | 2.0   | 312   | 0.6864          | 0.5162   |
| No log        | 3.0   | 468   | 0.6919          | 0.4874   |
| 0.9682        | 4.0   | 624   | 0.6674          | 0.5451   |
| 0.9682        | 5.0   | 780   | 0.6774          | 0.5415   |
| 0.9682        | 6.0   | 936   | 0.5435          | 0.6498   |
| 0.8254        | 7.0   | 1092  | 0.7442          | 0.5235   |
| 0.8254        | 8.0   | 1248  | 0.4993          | 0.6679   |
| 0.8254        | 9.0   | 1404  | 0.5592          | 0.6570   |
| 0.741         | 10.0  | 1560  | 0.6748          | 0.6498   |
| 0.741         | 11.0  | 1716  | 0.9543          | 0.4729   |
| 0.741         | 12.0  | 1872  | 0.5518          | 0.7004   |
| 0.6941        | 13.0  | 2028  | 0.4643          | 0.7040   |
| 0.6941        | 14.0  | 2184  | 0.5154          | 0.7220   |
| 0.6941        | 15.0  | 2340  | 0.5493          | 0.6570   |
| 0.6941        | 16.0  | 2496  | 0.5450          | 0.6570   |
| 0.6291        | 17.0  | 2652  | 0.5940          | 0.7040   |
| 0.6291        | 18.0  | 2808  | 0.4530          | 0.6931   |
| 0.6291        | 19.0  | 2964  | 0.5100          | 0.7581   |
| 0.5831        | 20.0  | 3120  | 0.4821          | 0.6751   |
| 0.5831        | 21.0  | 3276  | 0.7629          | 0.6354   |
| 0.5831        | 22.0  | 3432  | 0.4882          | 0.7437   |
| 0.5334        | 23.0  | 3588  | 0.4779          | 0.7040   |
| 0.5334        | 24.0  | 3744  | 0.5483          | 0.7365   |
| 0.5334        | 25.0  | 3900  | 0.4978          | 0.7112   |
| 0.465         | 26.0  | 4056  | 0.4617          | 0.7220   |
| 0.465         | 27.0  | 4212  | 0.4768          | 0.7545   |
| 0.465         | 28.0  | 4368  | 0.5384          | 0.7545   |
| 0.4116        | 29.0  | 4524  | 0.4739          | 0.7401   |
| 0.4116        | 30.0  | 4680  | 0.7430          | 0.6895   |
| 0.4116        | 31.0  | 4836  | 0.7631          | 0.6426   |
| 0.4116        | 32.0  | 4992  | 0.4750          | 0.7365   |
| 0.3972        | 33.0  | 5148  | 0.5293          | 0.7509   |
| 0.3972        | 34.0  | 5304  | 0.5111          | 0.7545   |
| 0.3972        | 35.0  | 5460  | 0.4787          | 0.7617   |
| 0.3632        | 36.0  | 5616  | 0.5954          | 0.7617   |
| 0.3632        | 37.0  | 5772  | 0.6243          | 0.7509   |
| 0.3632        | 38.0  | 5928  | 0.6147          | 0.7256   |
| 0.334         | 39.0  | 6084  | 0.4867          | 0.7581   |
| 0.334         | 40.0  | 6240  | 0.5077          | 0.7545   |
| 0.334         | 41.0  | 6396  | 0.6957          | 0.7112   |
| 0.2964        | 42.0  | 6552  | 0.5827          | 0.7690   |
| 0.2964        | 43.0  | 6708  | 0.4632          | 0.7617   |
| 0.2964        | 44.0  | 6864  | 0.5142          | 0.7545   |
| 0.291         | 45.0  | 7020  | 0.5525          | 0.7617   |
| 0.291         | 46.0  | 7176  | 0.4876          | 0.7581   |
| 0.291         | 47.0  | 7332  | 0.5730          | 0.7617   |
| 0.291         | 48.0  | 7488  | 0.5040          | 0.7653   |
| 0.2478        | 49.0  | 7644  | 0.5468          | 0.7545   |
| 0.2478        | 50.0  | 7800  | 0.5621          | 0.7653   |
| 0.2478        | 51.0  | 7956  | 0.5678          | 0.7545   |
| 0.2549        | 52.0  | 8112  | 0.5960          | 0.7509   |
| 0.2549        | 53.0  | 8268  | 0.5923          | 0.7437   |
| 0.2549        | 54.0  | 8424  | 0.5902          | 0.7653   |
| 0.2303        | 55.0  | 8580  | 0.4664          | 0.7617   |
| 0.2303        | 56.0  | 8736  | 0.5903          | 0.7617   |
| 0.2303        | 57.0  | 8892  | 0.6671          | 0.7329   |
| 0.2122        | 58.0  | 9048  | 0.5309          | 0.7473   |
| 0.2122        | 59.0  | 9204  | 0.6262          | 0.7581   |
| 0.2122        | 60.0  | 9360  | 0.5361          | 0.7545   |
| 0.2039        | 61.0  | 9516  | 0.6225          | 0.7545   |
| 0.2039        | 62.0  | 9672  | 0.6425          | 0.7509   |
| 0.2039        | 63.0  | 9828  | 0.6376          | 0.7365   |
| 0.2039        | 64.0  | 9984  | 0.6124          | 0.7473   |
| 0.1952        | 65.0  | 10140 | 0.5522          | 0.7401   |
| 0.1952        | 66.0  | 10296 | 0.6943          | 0.7509   |
| 0.1952        | 67.0  | 10452 | 0.5358          | 0.7653   |
| 0.1855        | 68.0  | 10608 | 0.5289          | 0.7581   |
| 0.1855        | 69.0  | 10764 | 0.5713          | 0.7545   |
| 0.1855        | 70.0  | 10920 | 0.5293          | 0.7617   |
| 0.1792        | 71.0  | 11076 | 0.6354          | 0.7617   |
| 0.1792        | 72.0  | 11232 | 0.5219          | 0.7653   |
| 0.1792        | 73.0  | 11388 | 0.5897          | 0.7581   |
| 0.1683        | 74.0  | 11544 | 0.5471          | 0.7653   |
| 0.1683        | 75.0  | 11700 | 0.5273          | 0.7653   |
| 0.1683        | 76.0  | 11856 | 0.5517          | 0.7581   |
| 0.1711        | 77.0  | 12012 | 0.5440          | 0.7653   |
| 0.1711        | 78.0  | 12168 | 0.5506          | 0.7545   |
| 0.1711        | 79.0  | 12324 | 0.5671          | 0.7581   |
| 0.1711        | 80.0  | 12480 | 0.5542          | 0.7545   |


### Framework versions

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