---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822105337'
  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. -->

# 20230822105337

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: 0.3531
- Accuracy: 0.5271

## 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: 0.05
- 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   | 0.3571          | 0.4729   |
| 6.8951        | 2.0   | 624   | 1.4465          | 0.5271   |
| 6.8951        | 3.0   | 936   | 1.4737          | 0.4729   |
| 4.4457        | 4.0   | 1248  | 0.4591          | 0.5271   |
| 3.2957        | 5.0   | 1560  | 0.4022          | 0.4729   |
| 3.2957        | 6.0   | 1872  | 1.2355          | 0.4729   |
| 3.7646        | 7.0   | 2184  | 9.3766          | 0.4729   |
| 3.7646        | 8.0   | 2496  | 0.3764          | 0.5271   |
| 3.3825        | 9.0   | 2808  | 4.6165          | 0.5271   |
| 2.7848        | 10.0  | 3120  | 3.2620          | 0.5271   |
| 2.7848        | 11.0  | 3432  | 2.3010          | 0.5271   |
| 2.3837        | 12.0  | 3744  | 0.3484          | 0.5271   |
| 2.1666        | 13.0  | 4056  | 0.4398          | 0.5271   |
| 2.1666        | 14.0  | 4368  | 1.4703          | 0.4729   |
| 2.107         | 15.0  | 4680  | 1.0550          | 0.5271   |
| 2.107         | 16.0  | 4992  | 1.0008          | 0.4729   |
| 2.161         | 17.0  | 5304  | 0.7810          | 0.4729   |
| 1.927         | 18.0  | 5616  | 0.8418          | 0.4729   |
| 1.927         | 19.0  | 5928  | 0.5166          | 0.4729   |
| 1.8072        | 20.0  | 6240  | 0.3493          | 0.5271   |
| 1.7187        | 21.0  | 6552  | 1.4221          | 0.5271   |
| 1.7187        | 22.0  | 6864  | 2.9356          | 0.5271   |
| 2.1333        | 23.0  | 7176  | 0.8474          | 0.4729   |
| 2.1333        | 24.0  | 7488  | 5.1220          | 0.4729   |
| 2.0017        | 25.0  | 7800  | 0.3589          | 0.4729   |
| 1.6518        | 26.0  | 8112  | 0.3996          | 0.4729   |
| 1.6518        | 27.0  | 8424  | 0.5351          | 0.5271   |
| 1.5012        | 28.0  | 8736  | 0.3479          | 0.5271   |
| 1.4194        | 29.0  | 9048  | 0.3492          | 0.5271   |
| 1.4194        | 30.0  | 9360  | 0.6942          | 0.5271   |
| 1.3048        | 31.0  | 9672  | 0.5089          | 0.5271   |
| 1.3048        | 32.0  | 9984  | 1.1509          | 0.5271   |
| 1.2972        | 33.0  | 10296 | 1.1207          | 0.4729   |
| 1.1774        | 34.0  | 10608 | 1.4443          | 0.4729   |
| 1.1774        | 35.0  | 10920 | 2.3753          | 0.4729   |
| 1.492         | 36.0  | 11232 | 0.3622          | 0.4729   |
| 1.3617        | 37.0  | 11544 | 1.3564          | 0.5271   |
| 1.3617        | 38.0  | 11856 | 0.6944          | 0.5271   |
| 1.4582        | 39.0  | 12168 | 0.5510          | 0.4729   |
| 1.4582        | 40.0  | 12480 | 0.3660          | 0.5271   |
| 1.0904        | 41.0  | 12792 | 0.3480          | 0.5271   |
| 0.9409        | 42.0  | 13104 | 0.4835          | 0.5271   |
| 0.9409        | 43.0  | 13416 | 0.6226          | 0.4729   |
| 0.9404        | 44.0  | 13728 | 0.4021          | 0.4729   |
| 0.8008        | 45.0  | 14040 | 0.5381          | 0.5271   |
| 0.8008        | 46.0  | 14352 | 0.3887          | 0.4729   |
| 0.841         | 47.0  | 14664 | 0.3763          | 0.5271   |
| 0.841         | 48.0  | 14976 | 0.3667          | 0.5271   |
| 0.6912        | 49.0  | 15288 | 0.4490          | 0.4729   |
| 0.6381        | 50.0  | 15600 | 0.7097          | 0.5271   |
| 0.6381        | 51.0  | 15912 | 0.3639          | 0.4729   |
| 0.5792        | 52.0  | 16224 | 0.3798          | 0.5271   |
| 0.53          | 53.0  | 16536 | 0.3854          | 0.4729   |
| 0.53          | 54.0  | 16848 | 0.3884          | 0.4729   |
| 0.4977        | 55.0  | 17160 | 0.3898          | 0.4729   |
| 0.4977        | 56.0  | 17472 | 0.3480          | 0.5271   |
| 0.4596        | 57.0  | 17784 | 0.3542          | 0.4729   |
| 0.4228        | 58.0  | 18096 | 0.3539          | 0.5271   |
| 0.4228        | 59.0  | 18408 | 0.3499          | 0.5271   |
| 0.3933        | 60.0  | 18720 | 0.3531          | 0.5271   |


### Framework versions

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