---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230903070300'
  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. -->

# 20230903070300

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: 0.8203
- Accuracy: 0.6599

## 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: 0.0002
- 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   | 340   | 0.7251          | 0.5063   |
| 0.7449        | 2.0   | 680   | 0.7348          | 0.5      |
| 0.7388        | 3.0   | 1020  | 0.7304          | 0.5      |
| 0.7388        | 4.0   | 1360  | 0.7639          | 0.5      |
| 0.7384        | 5.0   | 1700  | 0.7316          | 0.5      |
| 0.7376        | 6.0   | 2040  | 0.7268          | 0.5      |
| 0.7376        | 7.0   | 2380  | 0.7263          | 0.5      |
| 0.7328        | 8.0   | 2720  | 0.7333          | 0.5      |
| 0.7266        | 9.0   | 3060  | 0.7533          | 0.5      |
| 0.7266        | 10.0  | 3400  | 0.7247          | 0.4984   |
| 0.7293        | 11.0  | 3740  | 0.7290          | 0.5172   |
| 0.7248        | 12.0  | 4080  | 0.7539          | 0.5      |
| 0.7248        | 13.0  | 4420  | 0.7395          | 0.5      |
| 0.7255        | 14.0  | 4760  | 0.7360          | 0.5031   |
| 0.7271        | 15.0  | 5100  | 0.7278          | 0.5      |
| 0.7271        | 16.0  | 5440  | 0.7314          | 0.5094   |
| 0.7265        | 17.0  | 5780  | 0.7417          | 0.4984   |
| 0.724         | 18.0  | 6120  | 0.7263          | 0.5      |
| 0.724         | 19.0  | 6460  | 0.7272          | 0.5031   |
| 0.723         | 20.0  | 6800  | 0.7283          | 0.5172   |
| 0.7254        | 21.0  | 7140  | 0.7284          | 0.5047   |
| 0.7254        | 22.0  | 7480  | 0.7346          | 0.4984   |
| 0.7254        | 23.0  | 7820  | 0.7295          | 0.5125   |
| 0.7259        | 24.0  | 8160  | 0.7322          | 0.5047   |
| 0.7235        | 25.0  | 8500  | 0.7327          | 0.5172   |
| 0.7235        | 26.0  | 8840  | 0.7300          | 0.5172   |
| 0.7241        | 27.0  | 9180  | 0.7345          | 0.5016   |
| 0.7227        | 28.0  | 9520  | 0.7263          | 0.5172   |
| 0.7227        | 29.0  | 9860  | 0.7341          | 0.5016   |
| 0.7212        | 30.0  | 10200 | 0.7302          | 0.5125   |
| 0.7226        | 31.0  | 10540 | 0.7346          | 0.5078   |
| 0.7226        | 32.0  | 10880 | 0.7606          | 0.4702   |
| 0.7195        | 33.0  | 11220 | 0.7357          | 0.5063   |
| 0.7226        | 34.0  | 11560 | 0.7356          | 0.5031   |
| 0.7226        | 35.0  | 11900 | 0.7397          | 0.5063   |
| 0.7224        | 36.0  | 12240 | 0.7340          | 0.5157   |
| 0.7216        | 37.0  | 12580 | 0.7319          | 0.5047   |
| 0.7216        | 38.0  | 12920 | 0.7298          | 0.5141   |
| 0.7225        | 39.0  | 13260 | 0.7438          | 0.5016   |
| 0.7197        | 40.0  | 13600 | 0.7306          | 0.5047   |
| 0.7197        | 41.0  | 13940 | 0.7279          | 0.5125   |
| 0.7206        | 42.0  | 14280 | 0.7181          | 0.5502   |
| 0.7079        | 43.0  | 14620 | 0.7566          | 0.5862   |
| 0.7079        | 44.0  | 14960 | 0.7480          | 0.6254   |
| 0.6794        | 45.0  | 15300 | 0.6922          | 0.6630   |
| 0.6556        | 46.0  | 15640 | 0.7232          | 0.6223   |
| 0.6556        | 47.0  | 15980 | 0.6961          | 0.6458   |
| 0.6438        | 48.0  | 16320 | 0.7193          | 0.6458   |
| 0.6249        | 49.0  | 16660 | 0.6663          | 0.6693   |
| 0.6117        | 50.0  | 17000 | 0.8045          | 0.6191   |
| 0.6117        | 51.0  | 17340 | 0.6984          | 0.6630   |
| 0.5961        | 52.0  | 17680 | 0.6973          | 0.6646   |
| 0.5831        | 53.0  | 18020 | 0.7606          | 0.6348   |
| 0.5831        | 54.0  | 18360 | 0.7159          | 0.6614   |
| 0.5624        | 55.0  | 18700 | 0.7947          | 0.6426   |
| 0.558         | 56.0  | 19040 | 0.8629          | 0.6238   |
| 0.558         | 57.0  | 19380 | 0.7299          | 0.6646   |
| 0.5461        | 58.0  | 19720 | 0.7642          | 0.6411   |
| 0.5322        | 59.0  | 20060 | 0.7357          | 0.6661   |
| 0.5322        | 60.0  | 20400 | 0.8926          | 0.6191   |
| 0.5253        | 61.0  | 20740 | 0.7845          | 0.6348   |
| 0.5193        | 62.0  | 21080 | 0.7580          | 0.6614   |
| 0.5193        | 63.0  | 21420 | 0.7705          | 0.6505   |
| 0.5169        | 64.0  | 21760 | 0.8464          | 0.6458   |
| 0.5021        | 65.0  | 22100 | 0.8002          | 0.6536   |
| 0.5021        | 66.0  | 22440 | 0.7595          | 0.6677   |
| 0.487         | 67.0  | 22780 | 0.7971          | 0.6458   |
| 0.4977        | 68.0  | 23120 | 0.8245          | 0.6270   |
| 0.4977        | 69.0  | 23460 | 0.8225          | 0.6379   |
| 0.4822        | 70.0  | 23800 | 0.8323          | 0.6364   |
| 0.4802        | 71.0  | 24140 | 0.8205          | 0.6364   |
| 0.4802        | 72.0  | 24480 | 0.8086          | 0.6520   |
| 0.4779        | 73.0  | 24820 | 0.7994          | 0.6567   |
| 0.4801        | 74.0  | 25160 | 0.8206          | 0.6520   |
| 0.4706        | 75.0  | 25500 | 0.8035          | 0.6442   |
| 0.4706        | 76.0  | 25840 | 0.8213          | 0.6364   |
| 0.4738        | 77.0  | 26180 | 0.8128          | 0.6630   |
| 0.4687        | 78.0  | 26520 | 0.8068          | 0.6567   |
| 0.4687        | 79.0  | 26860 | 0.8098          | 0.6630   |
| 0.4598        | 80.0  | 27200 | 0.8203          | 0.6599   |


### Framework versions

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