---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230817153600'
  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. -->

# 20230817153600

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: 0.3379
- Accuracy: 0.7726

## 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: 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   | 0.5320          | 0.5199   |
| 0.6084        | 2.0   | 624   | 0.5060          | 0.5307   |
| 0.6084        | 3.0   | 936   | 0.4765          | 0.4729   |
| 0.4786        | 4.0   | 1248  | 0.3862          | 0.4729   |
| 0.5253        | 5.0   | 1560  | 0.5091          | 0.5343   |
| 0.5253        | 6.0   | 1872  | 0.3768          | 0.4982   |
| 0.5144        | 7.0   | 2184  | 0.4406          | 0.5271   |
| 0.5144        | 8.0   | 2496  | 0.3461          | 0.6318   |
| 0.4407        | 9.0   | 2808  | 0.3480          | 0.6534   |
| 0.4002        | 10.0  | 3120  | 0.3629          | 0.6643   |
| 0.4002        | 11.0  | 3432  | 0.3949          | 0.5560   |
| 0.3576        | 12.0  | 3744  | 0.3366          | 0.7076   |
| 0.346         | 13.0  | 4056  | 0.3302          | 0.7040   |
| 0.346         | 14.0  | 4368  | 0.3293          | 0.7184   |
| 0.337         | 15.0  | 4680  | 0.3301          | 0.7292   |
| 0.337         | 16.0  | 4992  | 0.3398          | 0.7329   |
| 0.3323        | 17.0  | 5304  | 0.3555          | 0.7256   |
| 0.3245        | 18.0  | 5616  | 0.3257          | 0.7040   |
| 0.3245        | 19.0  | 5928  | 0.3257          | 0.7292   |
| 0.3243        | 20.0  | 6240  | 0.3507          | 0.7220   |
| 0.3144        | 21.0  | 6552  | 0.4047          | 0.7184   |
| 0.3144        | 22.0  | 6864  | 0.3620          | 0.7220   |
| 0.3135        | 23.0  | 7176  | 0.3740          | 0.7148   |
| 0.3135        | 24.0  | 7488  | 0.3315          | 0.7437   |
| 0.3063        | 25.0  | 7800  | 0.3291          | 0.7437   |
| 0.2986        | 26.0  | 8112  | 0.3626          | 0.7292   |
| 0.2986        | 27.0  | 8424  | 0.3281          | 0.7401   |
| 0.2956        | 28.0  | 8736  | 0.3376          | 0.7401   |
| 0.2927        | 29.0  | 9048  | 0.3310          | 0.7545   |
| 0.2927        | 30.0  | 9360  | 0.3471          | 0.7437   |
| 0.2853        | 31.0  | 9672  | 0.3205          | 0.7581   |
| 0.2853        | 32.0  | 9984  | 0.3271          | 0.7509   |
| 0.2861        | 33.0  | 10296 | 0.3423          | 0.7509   |
| 0.2782        | 34.0  | 10608 | 0.3328          | 0.7473   |
| 0.2782        | 35.0  | 10920 | 0.3289          | 0.7617   |
| 0.2756        | 36.0  | 11232 | 0.3309          | 0.7581   |
| 0.2758        | 37.0  | 11544 | 0.3741          | 0.7365   |
| 0.2758        | 38.0  | 11856 | 0.3326          | 0.7473   |
| 0.2714        | 39.0  | 12168 | 0.3611          | 0.7184   |
| 0.2714        | 40.0  | 12480 | 0.3352          | 0.7473   |
| 0.2687        | 41.0  | 12792 | 0.3405          | 0.7437   |
| 0.2685        | 42.0  | 13104 | 0.3408          | 0.7365   |
| 0.2685        | 43.0  | 13416 | 0.3414          | 0.7473   |
| 0.2649        | 44.0  | 13728 | 0.3369          | 0.7545   |
| 0.2615        | 45.0  | 14040 | 0.3371          | 0.7545   |
| 0.2615        | 46.0  | 14352 | 0.3428          | 0.7509   |
| 0.2602        | 47.0  | 14664 | 0.3286          | 0.7545   |
| 0.2602        | 48.0  | 14976 | 0.3316          | 0.7581   |
| 0.2595        | 49.0  | 15288 | 0.3401          | 0.7545   |
| 0.2551        | 50.0  | 15600 | 0.3362          | 0.7653   |
| 0.2551        | 51.0  | 15912 | 0.3434          | 0.7653   |
| 0.2574        | 52.0  | 16224 | 0.3302          | 0.7726   |
| 0.2515        | 53.0  | 16536 | 0.3464          | 0.7473   |
| 0.2515        | 54.0  | 16848 | 0.3337          | 0.7690   |
| 0.252         | 55.0  | 17160 | 0.3364          | 0.7690   |
| 0.252         | 56.0  | 17472 | 0.3418          | 0.7509   |
| 0.2497        | 57.0  | 17784 | 0.3407          | 0.7581   |
| 0.2503        | 58.0  | 18096 | 0.3419          | 0.7545   |
| 0.2503        | 59.0  | 18408 | 0.3376          | 0.7762   |
| 0.2504        | 60.0  | 18720 | 0.3379          | 0.7726   |


### Framework versions

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