---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230821113922'
  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. -->

# 20230821113922

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: 0.3402
- Accuracy: 0.7401

## 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   | 0.3514          | 0.5560   |
| 0.6229        | 2.0   | 624   | 0.6273          | 0.5487   |
| 0.6229        | 3.0   | 936   | 0.8085          | 0.4729   |
| 0.5188        | 4.0   | 1248  | 0.6060          | 0.4729   |
| 0.4693        | 5.0   | 1560  | 0.3607          | 0.4946   |
| 0.4693        | 6.0   | 1872  | 0.3897          | 0.4801   |
| 0.4249        | 7.0   | 2184  | 0.5828          | 0.5271   |
| 0.4249        | 8.0   | 2496  | 0.4718          | 0.5307   |
| 0.4226        | 9.0   | 2808  | 0.5343          | 0.4729   |
| 0.42          | 10.0  | 3120  | 0.3478          | 0.5451   |
| 0.42          | 11.0  | 3432  | 0.4042          | 0.5271   |
| 0.407         | 12.0  | 3744  | 0.5783          | 0.4693   |
| 0.4156        | 13.0  | 4056  | 0.3466          | 0.5740   |
| 0.4156        | 14.0  | 4368  | 0.3720          | 0.5379   |
| 0.3784        | 15.0  | 4680  | 0.3414          | 0.6318   |
| 0.3784        | 16.0  | 4992  | 0.3330          | 0.6318   |
| 0.3734        | 17.0  | 5304  | 0.4631          | 0.5957   |
| 0.3573        | 18.0  | 5616  | 0.3375          | 0.5848   |
| 0.3573        | 19.0  | 5928  | 0.3429          | 0.6606   |
| 0.3516        | 20.0  | 6240  | 0.3344          | 0.6606   |
| 0.3399        | 21.0  | 6552  | 0.3671          | 0.6679   |
| 0.3399        | 22.0  | 6864  | 0.3485          | 0.6643   |
| 0.3345        | 23.0  | 7176  | 0.3416          | 0.6679   |
| 0.3345        | 24.0  | 7488  | 0.3263          | 0.6968   |
| 0.325         | 25.0  | 7800  | 0.3331          | 0.6895   |
| 0.3197        | 26.0  | 8112  | 0.3591          | 0.6787   |
| 0.3197        | 27.0  | 8424  | 0.3175          | 0.7292   |
| 0.3165        | 28.0  | 8736  | 0.3208          | 0.7148   |
| 0.3122        | 29.0  | 9048  | 0.3200          | 0.7292   |
| 0.3122        | 30.0  | 9360  | 0.3790          | 0.6570   |
| 0.3072        | 31.0  | 9672  | 0.3221          | 0.7112   |
| 0.3072        | 32.0  | 9984  | 0.3263          | 0.7365   |
| 0.3041        | 33.0  | 10296 | 0.3322          | 0.7292   |
| 0.2885        | 34.0  | 10608 | 0.3296          | 0.7365   |
| 0.2885        | 35.0  | 10920 | 0.3265          | 0.7220   |
| 0.2875        | 36.0  | 11232 | 0.3236          | 0.7509   |
| 0.2848        | 37.0  | 11544 | 0.3484          | 0.7112   |
| 0.2848        | 38.0  | 11856 | 0.3266          | 0.7365   |
| 0.2766        | 39.0  | 12168 | 0.3304          | 0.7473   |
| 0.2766        | 40.0  | 12480 | 0.3305          | 0.7401   |
| 0.2743        | 41.0  | 12792 | 0.3287          | 0.7545   |
| 0.2708        | 42.0  | 13104 | 0.3292          | 0.7365   |
| 0.2708        | 43.0  | 13416 | 0.3363          | 0.7256   |
| 0.2662        | 44.0  | 13728 | 0.3203          | 0.7329   |
| 0.2636        | 45.0  | 14040 | 0.3338          | 0.7401   |
| 0.2636        | 46.0  | 14352 | 0.3480          | 0.7365   |
| 0.261         | 47.0  | 14664 | 0.3282          | 0.7401   |
| 0.261         | 48.0  | 14976 | 0.3330          | 0.7329   |
| 0.2585        | 49.0  | 15288 | 0.3519          | 0.7292   |
| 0.2561        | 50.0  | 15600 | 0.3215          | 0.7473   |
| 0.2561        | 51.0  | 15912 | 0.3388          | 0.7401   |
| 0.2569        | 52.0  | 16224 | 0.3327          | 0.7365   |
| 0.2544        | 53.0  | 16536 | 0.3402          | 0.7401   |
| 0.2544        | 54.0  | 16848 | 0.3313          | 0.7437   |
| 0.2499        | 55.0  | 17160 | 0.3317          | 0.7401   |
| 0.2499        | 56.0  | 17472 | 0.3465          | 0.7329   |
| 0.2505        | 57.0  | 17784 | 0.3398          | 0.7437   |
| 0.2468        | 58.0  | 18096 | 0.3380          | 0.7437   |
| 0.2468        | 59.0  | 18408 | 0.3370          | 0.7437   |
| 0.2487        | 60.0  | 18720 | 0.3402          | 0.7401   |


### Framework versions

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