---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822202124'
  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. -->

# 20230822202124

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: 0.4836
- Accuracy: 0.7437

## 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: 0.003
- train_batch_size: 16
- 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   | 156  | 0.5548          | 0.4693   |
| No log        | 2.0   | 312  | 0.5565          | 0.4838   |
| No log        | 3.0   | 468  | 0.5531          | 0.4729   |
| 0.6259        | 4.0   | 624  | 0.5810          | 0.4729   |
| 0.6259        | 5.0   | 780  | 0.6010          | 0.5596   |
| 0.6259        | 6.0   | 936  | 0.4969          | 0.6462   |
| 0.5907        | 7.0   | 1092 | 0.7982          | 0.5487   |
| 0.5907        | 8.0   | 1248 | 0.4883          | 0.6318   |
| 0.5907        | 9.0   | 1404 | 0.4714          | 0.6931   |
| 0.5602        | 10.0  | 1560 | 0.9236          | 0.5560   |
| 0.5602        | 11.0  | 1716 | 0.4972          | 0.6968   |
| 0.5602        | 12.0  | 1872 | 0.5116          | 0.6895   |
| 0.5015        | 13.0  | 2028 | 0.4913          | 0.7076   |
| 0.5015        | 14.0  | 2184 | 0.4683          | 0.7112   |
| 0.5015        | 15.0  | 2340 | 0.5265          | 0.6895   |
| 0.5015        | 16.0  | 2496 | 0.4616          | 0.7040   |
| 0.4782        | 17.0  | 2652 | 0.5788          | 0.6679   |
| 0.4782        | 18.0  | 2808 | 0.4471          | 0.7292   |
| 0.4782        | 19.0  | 2964 | 0.4588          | 0.7545   |
| 0.4628        | 20.0  | 3120 | 0.6477          | 0.6426   |
| 0.4628        | 21.0  | 3276 | 0.5305          | 0.6968   |
| 0.4628        | 22.0  | 3432 | 0.4549          | 0.7292   |
| 0.4248        | 23.0  | 3588 | 0.5101          | 0.7256   |
| 0.4248        | 24.0  | 3744 | 0.4763          | 0.7184   |
| 0.4248        | 25.0  | 3900 | 0.5809          | 0.6895   |
| 0.4067        | 26.0  | 4056 | 0.4461          | 0.7473   |
| 0.4067        | 27.0  | 4212 | 0.4460          | 0.7473   |
| 0.4067        | 28.0  | 4368 | 0.4454          | 0.7509   |
| 0.3941        | 29.0  | 4524 | 0.4664          | 0.7365   |
| 0.3941        | 30.0  | 4680 | 0.5039          | 0.7292   |
| 0.3941        | 31.0  | 4836 | 0.4548          | 0.7473   |
| 0.3941        | 32.0  | 4992 | 0.4484          | 0.7437   |
| 0.3749        | 33.0  | 5148 | 0.4924          | 0.7473   |
| 0.3749        | 34.0  | 5304 | 0.4569          | 0.7473   |
| 0.3749        | 35.0  | 5460 | 0.4604          | 0.7617   |
| 0.3586        | 36.0  | 5616 | 0.4448          | 0.7653   |
| 0.3586        | 37.0  | 5772 | 0.4768          | 0.7365   |
| 0.3586        | 38.0  | 5928 | 0.5052          | 0.7473   |
| 0.3521        | 39.0  | 6084 | 0.5167          | 0.7329   |
| 0.3521        | 40.0  | 6240 | 0.4425          | 0.7509   |
| 0.3521        | 41.0  | 6396 | 0.4730          | 0.7545   |
| 0.3407        | 42.0  | 6552 | 0.4624          | 0.7509   |
| 0.3407        | 43.0  | 6708 | 0.4847          | 0.7509   |
| 0.3407        | 44.0  | 6864 | 0.5371          | 0.7329   |
| 0.3329        | 45.0  | 7020 | 0.4841          | 0.7545   |
| 0.3329        | 46.0  | 7176 | 0.4815          | 0.7365   |
| 0.3329        | 47.0  | 7332 | 0.4678          | 0.7509   |
| 0.3329        | 48.0  | 7488 | 0.4918          | 0.7473   |
| 0.3235        | 49.0  | 7644 | 0.4592          | 0.7581   |
| 0.3235        | 50.0  | 7800 | 0.5005          | 0.7437   |
| 0.3235        | 51.0  | 7956 | 0.4777          | 0.7545   |
| 0.3193        | 52.0  | 8112 | 0.4558          | 0.7545   |
| 0.3193        | 53.0  | 8268 | 0.4870          | 0.7437   |
| 0.3193        | 54.0  | 8424 | 0.4792          | 0.7437   |
| 0.3132        | 55.0  | 8580 | 0.4673          | 0.7437   |
| 0.3132        | 56.0  | 8736 | 0.4943          | 0.7437   |
| 0.3132        | 57.0  | 8892 | 0.4970          | 0.7437   |
| 0.311         | 58.0  | 9048 | 0.4914          | 0.7401   |
| 0.311         | 59.0  | 9204 | 0.4887          | 0.7437   |
| 0.311         | 60.0  | 9360 | 0.4836          | 0.7437   |


### Framework versions

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