---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822173808'
  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. -->

# 20230822173808

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: 0.3493
- Accuracy: 0.6968

## 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: 0.004
- 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   | 0.3774          | 0.5162   |
| 0.5343        | 2.0   | 624   | 0.3506          | 0.5018   |
| 0.5343        | 3.0   | 936   | 0.4575          | 0.4729   |
| 0.4659        | 4.0   | 1248  | 0.3759          | 0.5307   |
| 0.4691        | 5.0   | 1560  | 0.3500          | 0.5812   |
| 0.4691        | 6.0   | 1872  | 0.3457          | 0.5993   |
| 0.4442        | 7.0   | 2184  | 0.3500          | 0.6101   |
| 0.4442        | 8.0   | 2496  | 0.3403          | 0.6173   |
| 0.4366        | 9.0   | 2808  | 0.3840          | 0.5776   |
| 0.4097        | 10.0  | 3120  | 0.4391          | 0.5487   |
| 0.4097        | 11.0  | 3432  | 0.3584          | 0.6029   |
| 0.3922        | 12.0  | 3744  | 0.3356          | 0.6498   |
| 0.3564        | 13.0  | 4056  | 0.3275          | 0.6931   |
| 0.3564        | 14.0  | 4368  | 0.3283          | 0.7076   |
| 0.3343        | 15.0  | 4680  | 0.3377          | 0.6462   |
| 0.3343        | 16.0  | 4992  | 0.3550          | 0.6390   |
| 0.335         | 17.0  | 5304  | 0.3370          | 0.6895   |
| 0.3233        | 18.0  | 5616  | 0.3256          | 0.6787   |
| 0.3233        | 19.0  | 5928  | 0.3174          | 0.7112   |
| 0.3232        | 20.0  | 6240  | 0.3440          | 0.6643   |
| 0.3102        | 21.0  | 6552  | 0.3375          | 0.6895   |
| 0.3102        | 22.0  | 6864  | 0.3433          | 0.6787   |
| 0.3064        | 23.0  | 7176  | 0.3690          | 0.6715   |
| 0.3064        | 24.0  | 7488  | 0.3394          | 0.6931   |
| 0.3004        | 25.0  | 7800  | 0.3377          | 0.7256   |
| 0.2962        | 26.0  | 8112  | 0.3435          | 0.6751   |
| 0.2962        | 27.0  | 8424  | 0.3182          | 0.7329   |
| 0.2937        | 28.0  | 8736  | 0.3306          | 0.7112   |
| 0.2905        | 29.0  | 9048  | 0.3362          | 0.7148   |
| 0.2905        | 30.0  | 9360  | 0.3675          | 0.6751   |
| 0.2865        | 31.0  | 9672  | 0.3406          | 0.7076   |
| 0.2865        | 32.0  | 9984  | 0.3343          | 0.7040   |
| 0.2812        | 33.0  | 10296 | 0.3472          | 0.6859   |
| 0.2727        | 34.0  | 10608 | 0.3372          | 0.7292   |
| 0.2727        | 35.0  | 10920 | 0.3575          | 0.7076   |
| 0.2735        | 36.0  | 11232 | 0.3300          | 0.7076   |
| 0.2701        | 37.0  | 11544 | 0.3585          | 0.6968   |
| 0.2701        | 38.0  | 11856 | 0.3422          | 0.7148   |
| 0.2688        | 39.0  | 12168 | 0.3579          | 0.6931   |
| 0.2688        | 40.0  | 12480 | 0.3326          | 0.7148   |
| 0.2644        | 41.0  | 12792 | 0.3464          | 0.7256   |
| 0.2637        | 42.0  | 13104 | 0.3579          | 0.6931   |
| 0.2637        | 43.0  | 13416 | 0.3489          | 0.7040   |
| 0.26          | 44.0  | 13728 | 0.3439          | 0.7076   |
| 0.2582        | 45.0  | 14040 | 0.3585          | 0.7004   |
| 0.2582        | 46.0  | 14352 | 0.3535          | 0.7076   |
| 0.2533        | 47.0  | 14664 | 0.3440          | 0.7148   |
| 0.2533        | 48.0  | 14976 | 0.3506          | 0.7040   |
| 0.2535        | 49.0  | 15288 | 0.3519          | 0.7040   |
| 0.2498        | 50.0  | 15600 | 0.3457          | 0.6931   |
| 0.2498        | 51.0  | 15912 | 0.3494          | 0.7112   |
| 0.2504        | 52.0  | 16224 | 0.3431          | 0.7040   |
| 0.2499        | 53.0  | 16536 | 0.3450          | 0.7040   |
| 0.2499        | 54.0  | 16848 | 0.3485          | 0.6895   |
| 0.2488        | 55.0  | 17160 | 0.3437          | 0.7004   |
| 0.2488        | 56.0  | 17472 | 0.3465          | 0.7004   |
| 0.2479        | 57.0  | 17784 | 0.3479          | 0.6895   |
| 0.247         | 58.0  | 18096 | 0.3447          | 0.7004   |
| 0.247         | 59.0  | 18408 | 0.3521          | 0.7004   |
| 0.2468        | 60.0  | 18720 | 0.3493          | 0.6968   |


### Framework versions

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