---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230821215300'
  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. -->

# 20230821215300

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: 11.6614
- Accuracy: 0.4729

## 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: 0.001
- 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   | 30.4563         | 0.5162   |
| 31.8281       | 2.0   | 624   | 28.2683         | 0.4729   |
| 31.8281       | 3.0   | 936   | 22.4829         | 0.4729   |
| 26.6026       | 4.0   | 1248  | 17.2508         | 0.4729   |
| 20.7188       | 5.0   | 1560  | 15.6956         | 0.5271   |
| 20.7188       | 6.0   | 1872  | 14.7599         | 0.4729   |
| 18.7808       | 7.0   | 2184  | 14.4331         | 0.5271   |
| 18.7808       | 8.0   | 2496  | 13.9366         | 0.5271   |
| 18.0838       | 9.0   | 2808  | 13.6340         | 0.4729   |
| 17.722        | 10.0  | 3120  | 13.4379         | 0.4729   |
| 17.722        | 11.0  | 3432  | 13.4393         | 0.4729   |
| 17.4783       | 12.0  | 3744  | 13.1376         | 0.4729   |
| 17.2699       | 13.0  | 4056  | 12.9599         | 0.4729   |
| 17.2699       | 14.0  | 4368  | 12.8480         | 0.4729   |
| 17.0966       | 15.0  | 4680  | 12.7813         | 0.4729   |
| 17.0966       | 16.0  | 4992  | 12.6920         | 0.5271   |
| 16.9613       | 17.0  | 5304  | 12.5694         | 0.5271   |
| 16.848        | 18.0  | 5616  | 12.5194         | 0.5271   |
| 16.848        | 19.0  | 5928  | 12.4591         | 0.4729   |
| 16.7661       | 20.0  | 6240  | 12.3827         | 0.5271   |
| 16.6825       | 21.0  | 6552  | 12.3410         | 0.4729   |
| 16.6825       | 22.0  | 6864  | 12.3241         | 0.5271   |
| 16.5963       | 23.0  | 7176  | 12.3296         | 0.5271   |
| 16.5963       | 24.0  | 7488  | 12.2611         | 0.4729   |
| 16.5513       | 25.0  | 7800  | 12.1515         | 0.5271   |
| 16.4926       | 26.0  | 8112  | 12.1194         | 0.4729   |
| 16.4926       | 27.0  | 8424  | 12.1052         | 0.4729   |
| 16.4398       | 28.0  | 8736  | 12.0516         | 0.5271   |
| 16.399        | 29.0  | 9048  | 12.0210         | 0.4946   |
| 16.399        | 30.0  | 9360  | 12.0054         | 0.4729   |
| 16.3657       | 31.0  | 9672  | 11.9960         | 0.5271   |
| 16.3657       | 32.0  | 9984  | 11.9548         | 0.5271   |
| 16.3306       | 33.0  | 10296 | 11.9332         | 0.5271   |
| 16.294        | 34.0  | 10608 | 11.9148         | 0.4729   |
| 16.294        | 35.0  | 10920 | 11.9225         | 0.4729   |
| 16.2657       | 36.0  | 11232 | 11.8726         | 0.4765   |
| 16.2465       | 37.0  | 11544 | 11.8452         | 0.4729   |
| 16.2465       | 38.0  | 11856 | 11.8341         | 0.5271   |
| 16.208        | 39.0  | 12168 | 11.8232         | 0.4729   |
| 16.208        | 40.0  | 12480 | 11.7979         | 0.4729   |
| 16.191        | 41.0  | 12792 | 11.7895         | 0.4729   |
| 16.1729       | 42.0  | 13104 | 11.8391         | 0.4729   |
| 16.1729       | 43.0  | 13416 | 11.7619         | 0.5271   |
| 16.1571       | 44.0  | 13728 | 11.7502         | 0.4729   |
| 16.1268       | 45.0  | 14040 | 11.7520         | 0.4729   |
| 16.1268       | 46.0  | 14352 | 11.7539         | 0.4729   |
| 16.1194       | 47.0  | 14664 | 11.7541         | 0.4729   |
| 16.1194       | 48.0  | 14976 | 11.7130         | 0.5271   |
| 16.11         | 49.0  | 15288 | 11.7020         | 0.5271   |
| 16.0989       | 50.0  | 15600 | 11.6949         | 0.4729   |
| 16.0989       | 51.0  | 15912 | 11.7026         | 0.4729   |
| 16.0802       | 52.0  | 16224 | 11.7056         | 0.4729   |
| 16.0765       | 53.0  | 16536 | 11.6793         | 0.5271   |
| 16.0765       | 54.0  | 16848 | 11.6759         | 0.5271   |
| 16.0629       | 55.0  | 17160 | 11.6712         | 0.4729   |
| 16.0629       | 56.0  | 17472 | 11.6660         | 0.4946   |
| 16.0619       | 57.0  | 17784 | 11.6662         | 0.4729   |
| 16.0566       | 58.0  | 18096 | 11.6643         | 0.4729   |
| 16.0566       | 59.0  | 18408 | 11.6616         | 0.4729   |
| 16.0547       | 60.0  | 18720 | 11.6614         | 0.4729   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3