---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230824103319'
  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. -->

# 20230824103319

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: 1.2256
- Accuracy: 0.7473

## 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   | 1.2170          | 0.5307   |
| 0.9844        | 2.0   | 624   | 0.7365          | 0.5090   |
| 0.9844        | 3.0   | 936   | 0.6978          | 0.5632   |
| 0.8956        | 4.0   | 1248  | 0.8855          | 0.4765   |
| 0.8957        | 5.0   | 1560  | 1.0223          | 0.5379   |
| 0.8957        | 6.0   | 1872  | 0.6873          | 0.6137   |
| 0.7665        | 7.0   | 2184  | 0.8629          | 0.6173   |
| 0.7665        | 8.0   | 2496  | 0.6861          | 0.6570   |
| 0.734         | 9.0   | 2808  | 0.6714          | 0.7076   |
| 0.7238        | 10.0  | 3120  | 0.6298          | 0.7184   |
| 0.7238        | 11.0  | 3432  | 0.5975          | 0.7184   |
| 0.6786        | 12.0  | 3744  | 0.8311          | 0.6968   |
| 0.6396        | 13.0  | 4056  | 0.7136          | 0.6751   |
| 0.6396        | 14.0  | 4368  | 0.7183          | 0.6859   |
| 0.6481        | 15.0  | 4680  | 0.6652          | 0.7076   |
| 0.6481        | 16.0  | 4992  | 1.0367          | 0.6823   |
| 0.6106        | 17.0  | 5304  | 0.7197          | 0.6895   |
| 0.6011        | 18.0  | 5616  | 0.6058          | 0.7292   |
| 0.6011        | 19.0  | 5928  | 0.7227          | 0.7112   |
| 0.5978        | 20.0  | 6240  | 1.1472          | 0.6570   |
| 0.5309        | 21.0  | 6552  | 0.6741          | 0.7256   |
| 0.5309        | 22.0  | 6864  | 0.9335          | 0.6787   |
| 0.5392        | 23.0  | 7176  | 0.8296          | 0.7365   |
| 0.5392        | 24.0  | 7488  | 0.9097          | 0.7040   |
| 0.5058        | 25.0  | 7800  | 0.8278          | 0.7292   |
| 0.4669        | 26.0  | 8112  | 1.0859          | 0.6498   |
| 0.4669        | 27.0  | 8424  | 0.9387          | 0.7184   |
| 0.462         | 28.0  | 8736  | 1.0893          | 0.7365   |
| 0.4757        | 29.0  | 9048  | 1.3568          | 0.6859   |
| 0.4757        | 30.0  | 9360  | 1.0252          | 0.7040   |
| 0.4237        | 31.0  | 9672  | 1.0489          | 0.7329   |
| 0.4237        | 32.0  | 9984  | 0.8661          | 0.7292   |
| 0.4275        | 33.0  | 10296 | 0.9781          | 0.7437   |
| 0.3722        | 34.0  | 10608 | 0.8879          | 0.7329   |
| 0.3722        | 35.0  | 10920 | 0.9932          | 0.7292   |
| 0.3741        | 36.0  | 11232 | 1.0509          | 0.7365   |
| 0.3358        | 37.0  | 11544 | 1.3875          | 0.7329   |
| 0.3358        | 38.0  | 11856 | 1.2366          | 0.7220   |
| 0.3415        | 39.0  | 12168 | 1.0563          | 0.7329   |
| 0.3415        | 40.0  | 12480 | 0.9688          | 0.7401   |
| 0.3357        | 41.0  | 12792 | 0.8598          | 0.7329   |
| 0.3094        | 42.0  | 13104 | 1.0506          | 0.7329   |
| 0.3094        | 43.0  | 13416 | 1.3257          | 0.7365   |
| 0.2947        | 44.0  | 13728 | 1.1759          | 0.7365   |
| 0.2832        | 45.0  | 14040 | 1.1699          | 0.7329   |
| 0.2832        | 46.0  | 14352 | 1.1070          | 0.7401   |
| 0.2808        | 47.0  | 14664 | 1.1519          | 0.7473   |
| 0.2808        | 48.0  | 14976 | 1.0674          | 0.7401   |
| 0.2715        | 49.0  | 15288 | 1.1491          | 0.7401   |
| 0.252         | 50.0  | 15600 | 1.0819          | 0.7473   |
| 0.252         | 51.0  | 15912 | 0.9650          | 0.7473   |
| 0.2577        | 52.0  | 16224 | 1.0753          | 0.7437   |
| 0.2579        | 53.0  | 16536 | 1.0896          | 0.7473   |
| 0.2579        | 54.0  | 16848 | 1.0579          | 0.7401   |
| 0.2395        | 55.0  | 17160 | 1.1172          | 0.7509   |
| 0.2395        | 56.0  | 17472 | 1.1540          | 0.7509   |
| 0.2392        | 57.0  | 17784 | 1.2162          | 0.7509   |
| 0.22          | 58.0  | 18096 | 1.1978          | 0.7509   |
| 0.22          | 59.0  | 18408 | 1.2381          | 0.7473   |
| 0.2242        | 60.0  | 18720 | 1.2256          | 0.7473   |


### Framework versions

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