---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230823213528'
  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. -->

# 20230823213528

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: 0.3485
- Accuracy: 0.7040

## 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: 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   | 0.4891          | 0.5343   |
| 0.5805        | 2.0   | 624   | 0.4199          | 0.5307   |
| 0.5805        | 3.0   | 936   | 0.4131          | 0.4946   |
| 0.4984        | 4.0   | 1248  | 0.3933          | 0.5812   |
| 0.4838        | 5.0   | 1560  | 0.4843          | 0.4801   |
| 0.4838        | 6.0   | 1872  | 0.3661          | 0.6354   |
| 0.4855        | 7.0   | 2184  | 0.5478          | 0.5487   |
| 0.4855        | 8.0   | 2496  | 0.3429          | 0.6534   |
| 0.4609        | 9.0   | 2808  | 0.4357          | 0.5451   |
| 0.4554        | 10.0  | 3120  | 0.3549          | 0.6570   |
| 0.4554        | 11.0  | 3432  | 0.5188          | 0.6354   |
| 0.4273        | 12.0  | 3744  | 0.3284          | 0.6859   |
| 0.4039        | 13.0  | 4056  | 0.3282          | 0.7148   |
| 0.4039        | 14.0  | 4368  | 0.3409          | 0.6968   |
| 0.3708        | 15.0  | 4680  | 0.3288          | 0.6859   |
| 0.3708        | 16.0  | 4992  | 0.3508          | 0.6859   |
| 0.3474        | 17.0  | 5304  | 0.3127          | 0.7220   |
| 0.3321        | 18.0  | 5616  | 0.3528          | 0.6462   |
| 0.3321        | 19.0  | 5928  | 0.3202          | 0.7256   |
| 0.3264        | 20.0  | 6240  | 0.3531          | 0.6787   |
| 0.3029        | 21.0  | 6552  | 0.3314          | 0.7220   |
| 0.3029        | 22.0  | 6864  | 0.4123          | 0.6606   |
| 0.3003        | 23.0  | 7176  | 0.3465          | 0.7148   |
| 0.3003        | 24.0  | 7488  | 0.3219          | 0.7256   |
| 0.29          | 25.0  | 7800  | 0.3582          | 0.7220   |
| 0.2752        | 26.0  | 8112  | 0.3376          | 0.6968   |
| 0.2752        | 27.0  | 8424  | 0.3076          | 0.7509   |
| 0.2765        | 28.0  | 8736  | 0.3248          | 0.7292   |
| 0.2703        | 29.0  | 9048  | 0.3493          | 0.7256   |
| 0.2703        | 30.0  | 9360  | 0.3761          | 0.7112   |
| 0.2587        | 31.0  | 9672  | 0.3380          | 0.7256   |
| 0.2587        | 32.0  | 9984  | 0.3229          | 0.7220   |
| 0.2473        | 33.0  | 10296 | 0.3595          | 0.7112   |
| 0.2386        | 34.0  | 10608 | 0.3214          | 0.7184   |
| 0.2386        | 35.0  | 10920 | 0.3223          | 0.7365   |
| 0.2404        | 36.0  | 11232 | 0.3340          | 0.7329   |
| 0.2324        | 37.0  | 11544 | 0.3969          | 0.6931   |
| 0.2324        | 38.0  | 11856 | 0.3440          | 0.7365   |
| 0.2322        | 39.0  | 12168 | 0.3877          | 0.7076   |
| 0.2322        | 40.0  | 12480 | 0.3323          | 0.7148   |
| 0.2221        | 41.0  | 12792 | 0.3317          | 0.7112   |
| 0.2219        | 42.0  | 13104 | 0.3266          | 0.7076   |
| 0.2219        | 43.0  | 13416 | 0.3580          | 0.7184   |
| 0.2132        | 44.0  | 13728 | 0.3492          | 0.7148   |
| 0.2124        | 45.0  | 14040 | 0.3434          | 0.7184   |
| 0.2124        | 46.0  | 14352 | 0.3437          | 0.7112   |
| 0.2063        | 47.0  | 14664 | 0.3438          | 0.7004   |
| 0.2063        | 48.0  | 14976 | 0.3499          | 0.7184   |
| 0.2044        | 49.0  | 15288 | 0.3562          | 0.7148   |
| 0.1997        | 50.0  | 15600 | 0.3468          | 0.7076   |
| 0.1997        | 51.0  | 15912 | 0.3461          | 0.7112   |
| 0.1976        | 52.0  | 16224 | 0.3338          | 0.7076   |
| 0.2001        | 53.0  | 16536 | 0.3390          | 0.7112   |
| 0.2001        | 54.0  | 16848 | 0.3453          | 0.7040   |
| 0.1956        | 55.0  | 17160 | 0.3300          | 0.7076   |
| 0.1956        | 56.0  | 17472 | 0.3610          | 0.7004   |
| 0.1916        | 57.0  | 17784 | 0.3434          | 0.7040   |
| 0.1892        | 58.0  | 18096 | 0.3402          | 0.7076   |
| 0.1892        | 59.0  | 18408 | 0.3489          | 0.7112   |
| 0.1921        | 60.0  | 18720 | 0.3485          | 0.7040   |


### Framework versions

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