---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822011246'
  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. -->

# 20230822011246

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: 12.0925
- Accuracy: 0.4729

## 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   | 23.5855         | 0.5271   |
| 27.3295       | 2.0   | 624   | 15.7672         | 0.4729   |
| 27.3295       | 3.0   | 936   | 14.1816         | 0.5271   |
| 19.6736       | 4.0   | 1248  | 13.5811         | 0.4729   |
| 18.8481       | 5.0   | 1560  | 13.3851         | 0.4729   |
| 18.8481       | 6.0   | 1872  | 13.0199         | 0.4729   |
| 18.5899       | 7.0   | 2184  | 12.9497         | 0.4838   |
| 18.5899       | 8.0   | 2496  | 12.9961         | 0.4729   |
| 18.473        | 9.0   | 2808  | 12.8275         | 0.4729   |
| 18.3073       | 10.0  | 3120  | 12.6992         | 0.4729   |
| 18.3073       | 11.0  | 3432  | 13.5160         | 0.5271   |
| 18.2739       | 12.0  | 3744  | 12.6731         | 0.5307   |
| 18.1236       | 13.0  | 4056  | 12.6066         | 0.4729   |
| 18.1236       | 14.0  | 4368  | 12.5802         | 0.4729   |
| 18.1096       | 15.0  | 4680  | 12.6447         | 0.5271   |
| 18.1096       | 16.0  | 4992  | 13.3094         | 0.4729   |
| 18.1134       | 17.0  | 5304  | 13.0970         | 0.5271   |
| 18.1098       | 18.0  | 5616  | 12.7293         | 0.5271   |
| 18.1098       | 19.0  | 5928  | 12.6166         | 0.5271   |
| 18.0277       | 20.0  | 6240  | 12.5606         | 0.4729   |
| 18.0289       | 21.0  | 6552  | 12.5322         | 0.4729   |
| 18.0289       | 22.0  | 6864  | 12.7341         | 0.5271   |
| 18.0223       | 23.0  | 7176  | 12.5497         | 0.4729   |
| 18.0223       | 24.0  | 7488  | 12.4199         | 0.5271   |
| 17.9317       | 25.0  | 7800  | 12.7868         | 0.5271   |
| 17.9107       | 26.0  | 8112  | 12.3295         | 0.4729   |
| 17.9107       | 27.0  | 8424  | 12.6038         | 0.4729   |
| 17.8944       | 28.0  | 8736  | 12.3329         | 0.5271   |
| 17.8667       | 29.0  | 9048  | 12.3034         | 0.5271   |
| 17.8667       | 30.0  | 9360  | 12.4605         | 0.5271   |
| 17.8228       | 31.0  | 9672  | 12.5110         | 0.4729   |
| 17.8228       | 32.0  | 9984  | 12.4227         | 0.5271   |
| 17.8006       | 33.0  | 10296 | 12.2972         | 0.4729   |
| 17.76         | 34.0  | 10608 | 12.3011         | 0.4729   |
| 17.76         | 35.0  | 10920 | 12.2179         | 0.4729   |
| 17.7564       | 36.0  | 11232 | 12.2381         | 0.4729   |
| 17.7084       | 37.0  | 11544 | 12.8747         | 0.4729   |
| 17.7084       | 38.0  | 11856 | 12.1945         | 0.4729   |
| 17.7035       | 39.0  | 12168 | 12.2180         | 0.4729   |
| 17.7035       | 40.0  | 12480 | 12.2830         | 0.4729   |
| 17.6668       | 41.0  | 12792 | 12.1857         | 0.4693   |
| 17.6396       | 42.0  | 13104 | 12.2239         | 0.5379   |
| 17.6396       | 43.0  | 13416 | 12.1584         | 0.5271   |
| 17.6452       | 44.0  | 13728 | 12.3185         | 0.4729   |
| 17.6074       | 45.0  | 14040 | 12.2421         | 0.5271   |
| 17.6074       | 46.0  | 14352 | 12.1912         | 0.4729   |
| 17.6167       | 47.0  | 14664 | 12.2022         | 0.5271   |
| 17.6167       | 48.0  | 14976 | 12.1326         | 0.4729   |
| 17.5782       | 49.0  | 15288 | 12.1550         | 0.4729   |
| 17.562        | 50.0  | 15600 | 12.2250         | 0.5271   |
| 17.562        | 51.0  | 15912 | 12.1190         | 0.4729   |
| 17.5409       | 52.0  | 16224 | 12.1505         | 0.5271   |
| 17.5211       | 53.0  | 16536 | 12.1046         | 0.4729   |
| 17.5211       | 54.0  | 16848 | 12.1132         | 0.5271   |
| 17.5043       | 55.0  | 17160 | 12.1159         | 0.4729   |
| 17.5043       | 56.0  | 17472 | 12.1085         | 0.5271   |
| 17.4952       | 57.0  | 17784 | 12.1024         | 0.4729   |
| 17.4731       | 58.0  | 18096 | 12.0955         | 0.4729   |
| 17.4731       | 59.0  | 18408 | 12.0981         | 0.5271   |
| 17.4654       | 60.0  | 18720 | 12.0925         | 0.4729   |


### Framework versions

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