---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: 1e-2_10_0.1
  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. -->

# 1e-2_10_0.1

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: 0.6265
- Accuracy: 0.5126

## 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: 0.01
- 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   | 0.6257          | 0.5307   |
| 1.3002        | 2.0   | 624   | 1.0407          | 0.5271   |
| 1.3002        | 3.0   | 936   | 1.4050          | 0.5271   |
| 1.0663        | 4.0   | 1248  | 0.9796          | 0.5271   |
| 1.0554        | 5.0   | 1560  | 1.4166          | 0.5271   |
| 1.0554        | 6.0   | 1872  | 0.9151          | 0.5271   |
| 0.8523        | 7.0   | 2184  | 0.8469          | 0.5271   |
| 0.8523        | 8.0   | 2496  | 0.8390          | 0.5271   |
| 0.8445        | 9.0   | 2808  | 0.7439          | 0.4729   |
| 0.8722        | 10.0  | 3120  | 0.6458          | 0.5343   |
| 0.8722        | 11.0  | 3432  | 0.7906          | 0.4729   |
| 0.8432        | 12.0  | 3744  | 0.6429          | 0.4946   |
| 0.7932        | 13.0  | 4056  | 0.6503          | 0.5307   |
| 0.7932        | 14.0  | 4368  | 0.7167          | 0.5271   |
| 0.7687        | 15.0  | 4680  | 0.6584          | 0.4765   |
| 0.7687        | 16.0  | 4992  | 0.6324          | 0.4874   |
| 0.7569        | 17.0  | 5304  | 0.7912          | 0.5271   |
| 0.7369        | 18.0  | 5616  | 0.7309          | 0.4729   |
| 0.7369        | 19.0  | 5928  | 0.6402          | 0.5126   |
| 0.7632        | 20.0  | 6240  | 0.7055          | 0.5271   |
| 0.7321        | 21.0  | 6552  | 0.6247          | 0.5271   |
| 0.7321        | 22.0  | 6864  | 0.7055          | 0.5271   |
| 0.7151        | 23.0  | 7176  | 0.6276          | 0.5343   |
| 0.7151        | 24.0  | 7488  | 0.6245          | 0.5271   |
| 0.7092        | 25.0  | 7800  | 0.6266          | 0.5126   |
| 0.7311        | 26.0  | 8112  | 0.6983          | 0.5271   |
| 0.7311        | 27.0  | 8424  | 0.6762          | 0.4729   |
| 0.7027        | 28.0  | 8736  | 0.6316          | 0.5018   |
| 0.7007        | 29.0  | 9048  | 0.6505          | 0.4729   |
| 0.7007        | 30.0  | 9360  | 0.7682          | 0.5271   |
| 0.6974        | 31.0  | 9672  | 0.6616          | 0.5271   |
| 0.6974        | 32.0  | 9984  | 0.6322          | 0.5271   |
| 0.6974        | 33.0  | 10296 | 0.6302          | 0.5271   |
| 0.6786        | 34.0  | 10608 | 0.6764          | 0.4729   |
| 0.6786        | 35.0  | 10920 | 0.6569          | 0.4729   |
| 0.692         | 36.0  | 11232 | 0.6584          | 0.4729   |
| 0.6814        | 37.0  | 11544 | 0.6636          | 0.5271   |
| 0.6814        | 38.0  | 11856 | 0.6477          | 0.4729   |
| 0.6767        | 39.0  | 12168 | 0.6294          | 0.5271   |
| 0.6767        | 40.0  | 12480 | 0.6487          | 0.4585   |
| 0.6762        | 41.0  | 12792 | 0.6301          | 0.5307   |
| 0.6682        | 42.0  | 13104 | 0.6252          | 0.5271   |
| 0.6682        | 43.0  | 13416 | 0.6249          | 0.5271   |
| 0.6738        | 44.0  | 13728 | 0.6334          | 0.5271   |
| 0.667         | 45.0  | 14040 | 0.6248          | 0.5271   |
| 0.667         | 46.0  | 14352 | 0.6390          | 0.5090   |
| 0.6633        | 47.0  | 14664 | 0.6622          | 0.4729   |
| 0.6633        | 48.0  | 14976 | 0.6267          | 0.4874   |
| 0.6573        | 49.0  | 15288 | 0.6256          | 0.5271   |
| 0.6559        | 50.0  | 15600 | 0.6306          | 0.4838   |
| 0.6559        | 51.0  | 15912 | 0.6412          | 0.4729   |
| 0.6455        | 52.0  | 16224 | 0.6634          | 0.4729   |
| 0.6484        | 53.0  | 16536 | 0.6247          | 0.5271   |
| 0.6484        | 54.0  | 16848 | 0.6267          | 0.5271   |
| 0.6417        | 55.0  | 17160 | 0.6295          | 0.4838   |
| 0.6417        | 56.0  | 17472 | 0.6256          | 0.5271   |
| 0.6395        | 57.0  | 17784 | 0.6268          | 0.4946   |
| 0.6418        | 58.0  | 18096 | 0.6267          | 0.4838   |
| 0.6418        | 59.0  | 18408 | 0.6260          | 0.5271   |
| 0.6373        | 60.0  | 18720 | 0.6265          | 0.5126   |


### Framework versions

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