---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822185221'
  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. -->

# 20230822185221

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: 0.3289
- Accuracy: 0.7329

## 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: 0.002
- 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   | 0.5077          | 0.5307   |
| 0.4439        | 2.0   | 624   | 0.3971          | 0.4874   |
| 0.4439        | 3.0   | 936   | 0.3574          | 0.5379   |
| 0.4231        | 4.0   | 1248  | 0.3625          | 0.5776   |
| 0.4071        | 5.0   | 1560  | 0.4937          | 0.5343   |
| 0.4071        | 6.0   | 1872  | 0.3738          | 0.5668   |
| 0.3956        | 7.0   | 2184  | 0.4081          | 0.4729   |
| 0.3956        | 8.0   | 2496  | 0.3386          | 0.6209   |
| 0.3905        | 9.0   | 2808  | 0.4147          | 0.4729   |
| 0.3888        | 10.0  | 3120  | 0.3353          | 0.6354   |
| 0.3888        | 11.0  | 3432  | 0.3540          | 0.6282   |
| 0.3992        | 12.0  | 3744  | 0.3453          | 0.5848   |
| 0.372         | 13.0  | 4056  | 0.3265          | 0.6895   |
| 0.372         | 14.0  | 4368  | 0.3575          | 0.6426   |
| 0.3643        | 15.0  | 4680  | 0.3304          | 0.6498   |
| 0.3643        | 16.0  | 4992  | 0.3633          | 0.6715   |
| 0.3666        | 17.0  | 5304  | 0.5230          | 0.5343   |
| 0.3517        | 18.0  | 5616  | 0.3384          | 0.6462   |
| 0.3517        | 19.0  | 5928  | 0.3293          | 0.6823   |
| 0.3519        | 20.0  | 6240  | 0.3613          | 0.6823   |
| 0.338         | 21.0  | 6552  | 0.3242          | 0.7256   |
| 0.338         | 22.0  | 6864  | 0.3399          | 0.7184   |
| 0.3316        | 23.0  | 7176  | 0.3392          | 0.7004   |
| 0.3316        | 24.0  | 7488  | 0.3343          | 0.6534   |
| 0.3266        | 25.0  | 7800  | 0.3467          | 0.7112   |
| 0.3213        | 26.0  | 8112  | 0.3419          | 0.7040   |
| 0.3213        | 27.0  | 8424  | 0.3190          | 0.7112   |
| 0.3177        | 28.0  | 8736  | 0.3205          | 0.6931   |
| 0.3187        | 29.0  | 9048  | 0.3303          | 0.7076   |
| 0.3187        | 30.0  | 9360  | 0.3268          | 0.7148   |
| 0.3162        | 31.0  | 9672  | 0.3274          | 0.7148   |
| 0.3162        | 32.0  | 9984  | 0.3311          | 0.7112   |
| 0.3132        | 33.0  | 10296 | 0.3454          | 0.7148   |
| 0.3087        | 34.0  | 10608 | 0.3250          | 0.7076   |
| 0.3087        | 35.0  | 10920 | 0.3266          | 0.7076   |
| 0.3076        | 36.0  | 11232 | 0.3347          | 0.7292   |
| 0.3071        | 37.0  | 11544 | 0.3308          | 0.7112   |
| 0.3071        | 38.0  | 11856 | 0.3272          | 0.7220   |
| 0.3061        | 39.0  | 12168 | 0.3301          | 0.7148   |
| 0.3061        | 40.0  | 12480 | 0.3226          | 0.7256   |
| 0.3006        | 41.0  | 12792 | 0.3285          | 0.7365   |
| 0.3016        | 42.0  | 13104 | 0.3226          | 0.7148   |
| 0.3016        | 43.0  | 13416 | 0.3291          | 0.7220   |
| 0.2984        | 44.0  | 13728 | 0.3377          | 0.7112   |
| 0.2976        | 45.0  | 14040 | 0.3326          | 0.7220   |
| 0.2976        | 46.0  | 14352 | 0.3341          | 0.7292   |
| 0.2967        | 47.0  | 14664 | 0.3187          | 0.7184   |
| 0.2967        | 48.0  | 14976 | 0.3322          | 0.7148   |
| 0.2953        | 49.0  | 15288 | 0.3269          | 0.7365   |
| 0.2911        | 50.0  | 15600 | 0.3256          | 0.7365   |
| 0.2911        | 51.0  | 15912 | 0.3252          | 0.7256   |
| 0.2929        | 52.0  | 16224 | 0.3251          | 0.7292   |
| 0.2904        | 53.0  | 16536 | 0.3258          | 0.7256   |
| 0.2904        | 54.0  | 16848 | 0.3358          | 0.7220   |
| 0.2895        | 55.0  | 17160 | 0.3219          | 0.7329   |
| 0.2895        | 56.0  | 17472 | 0.3322          | 0.7329   |
| 0.2887        | 57.0  | 17784 | 0.3259          | 0.7365   |
| 0.2883        | 58.0  | 18096 | 0.3260          | 0.7292   |
| 0.2883        | 59.0  | 18408 | 0.3276          | 0.7365   |
| 0.2874        | 60.0  | 18720 | 0.3289          | 0.7329   |


### Framework versions

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