---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230817010018'
  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. -->

# 20230817010018

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: 0.3346
- Accuracy: 0.6931

## 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   | 0.4302          | 0.4585   |
| 0.5241        | 2.0   | 624   | 0.3721          | 0.5379   |
| 0.5241        | 3.0   | 936   | 0.4359          | 0.4693   |
| 0.4404        | 4.0   | 1248  | 0.4139          | 0.4729   |
| 0.444         | 5.0   | 1560  | 0.5513          | 0.5307   |
| 0.444         | 6.0   | 1872  | 0.3854          | 0.4729   |
| 0.4526        | 7.0   | 2184  | 0.3593          | 0.4729   |
| 0.4526        | 8.0   | 2496  | 0.3700          | 0.5271   |
| 0.4555        | 9.0   | 2808  | 0.4814          | 0.4693   |
| 0.4401        | 10.0  | 3120  | 0.4095          | 0.5271   |
| 0.4401        | 11.0  | 3432  | 0.5372          | 0.5415   |
| 0.438         | 12.0  | 3744  | 0.3496          | 0.5271   |
| 0.4381        | 13.0  | 4056  | 0.5447          | 0.5415   |
| 0.4381        | 14.0  | 4368  | 0.4662          | 0.5668   |
| 0.4127        | 15.0  | 4680  | 0.3524          | 0.6282   |
| 0.4127        | 16.0  | 4992  | 0.3402          | 0.6137   |
| 0.4123        | 17.0  | 5304  | 0.7254          | 0.5776   |
| 0.4017        | 18.0  | 5616  | 0.3577          | 0.5632   |
| 0.4017        | 19.0  | 5928  | 0.3274          | 0.6715   |
| 0.3919        | 20.0  | 6240  | 0.3557          | 0.6173   |
| 0.3628        | 21.0  | 6552  | 0.3646          | 0.4946   |
| 0.3628        | 22.0  | 6864  | 0.3489          | 0.5993   |
| 0.3556        | 23.0  | 7176  | 0.4147          | 0.6354   |
| 0.3556        | 24.0  | 7488  | 0.3447          | 0.6931   |
| 0.3508        | 25.0  | 7800  | 0.3240          | 0.6931   |
| 0.3419        | 26.0  | 8112  | 0.3411          | 0.6751   |
| 0.3419        | 27.0  | 8424  | 0.3374          | 0.6931   |
| 0.3398        | 28.0  | 8736  | 0.3280          | 0.6751   |
| 0.3426        | 29.0  | 9048  | 0.3681          | 0.6968   |
| 0.3426        | 30.0  | 9360  | 0.3634          | 0.6823   |
| 0.337         | 31.0  | 9672  | 0.3663          | 0.6570   |
| 0.337         | 32.0  | 9984  | 0.3359          | 0.6931   |
| 0.3369        | 33.0  | 10296 | 0.3239          | 0.6823   |
| 0.3335        | 34.0  | 10608 | 0.3313          | 0.7076   |
| 0.3335        | 35.0  | 10920 | 0.3246          | 0.7040   |
| 0.3307        | 36.0  | 11232 | 0.3624          | 0.6859   |
| 0.329         | 37.0  | 11544 | 0.3669          | 0.6823   |
| 0.329         | 38.0  | 11856 | 0.3467          | 0.7040   |
| 0.3287        | 39.0  | 12168 | 0.3498          | 0.6968   |
| 0.3287        | 40.0  | 12480 | 0.3408          | 0.6931   |
| 0.3264        | 41.0  | 12792 | 0.3236          | 0.7004   |
| 0.324         | 42.0  | 13104 | 0.3363          | 0.7112   |
| 0.324         | 43.0  | 13416 | 0.3384          | 0.6859   |
| 0.3244        | 44.0  | 13728 | 0.3388          | 0.6895   |
| 0.3226        | 45.0  | 14040 | 0.3335          | 0.7004   |
| 0.3226        | 46.0  | 14352 | 0.3314          | 0.7040   |
| 0.3222        | 47.0  | 14664 | 0.3278          | 0.7148   |
| 0.3222        | 48.0  | 14976 | 0.3407          | 0.6931   |
| 0.3186        | 49.0  | 15288 | 0.3328          | 0.7112   |
| 0.3183        | 50.0  | 15600 | 0.3363          | 0.7076   |
| 0.3183        | 51.0  | 15912 | 0.3318          | 0.7040   |
| 0.3153        | 52.0  | 16224 | 0.3305          | 0.7004   |
| 0.3152        | 53.0  | 16536 | 0.3502          | 0.6751   |
| 0.3152        | 54.0  | 16848 | 0.3396          | 0.6823   |
| 0.3144        | 55.0  | 17160 | 0.3282          | 0.7112   |
| 0.3144        | 56.0  | 17472 | 0.3449          | 0.6823   |
| 0.3134        | 57.0  | 17784 | 0.3301          | 0.7148   |
| 0.312         | 58.0  | 18096 | 0.3348          | 0.6931   |
| 0.312         | 59.0  | 18408 | 0.3352          | 0.6931   |
| 0.3118        | 60.0  | 18720 | 0.3346          | 0.6931   |


### Framework versions

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