---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822011123'
  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. -->

# 20230822011123

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: 12.7559
- 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: 0.0005
- 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   | 33.1111         | 0.4693   |
| 33.5632       | 2.0   | 624   | 29.4330         | 0.4729   |
| 33.5632       | 3.0   | 936   | 28.6575         | 0.4729   |
| 29.5796       | 4.0   | 1248  | 27.5594         | 0.4946   |
| 27.7947       | 5.0   | 1560  | 24.0011         | 0.4729   |
| 27.7947       | 6.0   | 1872  | 21.8497         | 0.5307   |
| 24.4291       | 7.0   | 2184  | 18.9382         | 0.5271   |
| 24.4291       | 8.0   | 2496  | 17.0228         | 0.5271   |
| 21.7331       | 9.0   | 2808  | 16.2191         | 0.5271   |
| 20.2434       | 10.0  | 3120  | 15.6640         | 0.5271   |
| 20.2434       | 11.0  | 3432  | 15.3209         | 0.4729   |
| 19.5791       | 12.0  | 3744  | 15.0367         | 0.4729   |
| 19.1759       | 13.0  | 4056  | 14.7859         | 0.4729   |
| 19.1759       | 14.0  | 4368  | 14.5689         | 0.4729   |
| 18.9129       | 15.0  | 4680  | 14.4199         | 0.4729   |
| 18.9129       | 16.0  | 4992  | 14.3070         | 0.5271   |
| 18.725        | 17.0  | 5304  | 14.2007         | 0.5271   |
| 18.5733       | 18.0  | 5616  | 14.0996         | 0.4729   |
| 18.5733       | 19.0  | 5928  | 14.0560         | 0.4729   |
| 18.4591       | 20.0  | 6240  | 13.9476         | 0.5271   |
| 18.3533       | 21.0  | 6552  | 13.8532         | 0.5271   |
| 18.3533       | 22.0  | 6864  | 13.8091         | 0.5271   |
| 18.2596       | 23.0  | 7176  | 13.7278         | 0.5271   |
| 18.2596       | 24.0  | 7488  | 13.6616         | 0.4729   |
| 18.1857       | 25.0  | 7800  | 13.5820         | 0.4729   |
| 18.1091       | 26.0  | 8112  | 13.5658         | 0.4729   |
| 18.1091       | 27.0  | 8424  | 13.4950         | 0.4729   |
| 18.0388       | 28.0  | 8736  | 13.4109         | 0.4729   |
| 17.9676       | 29.0  | 9048  | 13.3571         | 0.4729   |
| 17.9676       | 30.0  | 9360  | 13.3096         | 0.4729   |
| 17.9109       | 31.0  | 9672  | 13.2689         | 0.5271   |
| 17.9109       | 32.0  | 9984  | 13.2199         | 0.4729   |
| 17.8555       | 33.0  | 10296 | 13.1702         | 0.5271   |
| 17.7959       | 34.0  | 10608 | 13.1315         | 0.4729   |
| 17.7959       | 35.0  | 10920 | 13.0977         | 0.5271   |
| 17.7567       | 36.0  | 11232 | 13.0718         | 0.4729   |
| 17.718        | 37.0  | 11544 | 13.0244         | 0.4729   |
| 17.718        | 38.0  | 11856 | 13.0061         | 0.5271   |
| 17.6743       | 39.0  | 12168 | 12.9777         | 0.5271   |
| 17.6743       | 40.0  | 12480 | 12.9545         | 0.4729   |
| 17.6411       | 41.0  | 12792 | 12.9362         | 0.4729   |
| 17.6197       | 42.0  | 13104 | 12.9564         | 0.4729   |
| 17.6197       | 43.0  | 13416 | 12.8934         | 0.4729   |
| 17.598        | 44.0  | 13728 | 12.8824         | 0.4729   |
| 17.5669       | 45.0  | 14040 | 12.8925         | 0.4729   |
| 17.5669       | 46.0  | 14352 | 12.8567         | 0.4729   |
| 17.5513       | 47.0  | 14664 | 12.8525         | 0.4729   |
| 17.5513       | 48.0  | 14976 | 12.8268         | 0.5271   |
| 17.5412       | 49.0  | 15288 | 12.8100         | 0.4729   |
| 17.5282       | 50.0  | 15600 | 12.8056         | 0.4729   |
| 17.5282       | 51.0  | 15912 | 12.7995         | 0.4729   |
| 17.51         | 52.0  | 16224 | 12.7996         | 0.4729   |
| 17.5032       | 53.0  | 16536 | 12.7793         | 0.4729   |
| 17.5032       | 54.0  | 16848 | 12.7732         | 0.4729   |
| 17.4893       | 55.0  | 17160 | 12.7682         | 0.4729   |
| 17.4893       | 56.0  | 17472 | 12.7625         | 0.4729   |
| 17.4874       | 57.0  | 17784 | 12.7641         | 0.4729   |
| 17.4805       | 58.0  | 18096 | 12.7570         | 0.4729   |
| 17.4805       | 59.0  | 18408 | 12.7564         | 0.4729   |
| 17.4784       | 60.0  | 18720 | 12.7559         | 0.4729   |


### Framework versions

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