---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230819211604'
  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. -->

# 20230819211604

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: 0.3362
- Accuracy: 0.7473

## 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   | 0.4002          | 0.5307   |
| 0.545         | 2.0   | 624   | 0.4058          | 0.5379   |
| 0.545         | 3.0   | 936   | 0.3972          | 0.5379   |
| 0.4698        | 4.0   | 1248  | 0.4360          | 0.4729   |
| 0.4785        | 5.0   | 1560  | 0.3494          | 0.5090   |
| 0.4785        | 6.0   | 1872  | 0.4100          | 0.4729   |
| 0.4322        | 7.0   | 2184  | 0.5717          | 0.5307   |
| 0.4322        | 8.0   | 2496  | 0.4078          | 0.5379   |
| 0.3946        | 9.0   | 2808  | 0.3304          | 0.6570   |
| 0.36          | 10.0  | 3120  | 0.3318          | 0.6426   |
| 0.36          | 11.0  | 3432  | 0.3275          | 0.6931   |
| 0.3478        | 12.0  | 3744  | 0.3314          | 0.7148   |
| 0.3359        | 13.0  | 4056  | 0.3277          | 0.7112   |
| 0.3359        | 14.0  | 4368  | 0.3307          | 0.7148   |
| 0.3249        | 15.0  | 4680  | 0.3245          | 0.6968   |
| 0.3249        | 16.0  | 4992  | 0.3626          | 0.6498   |
| 0.3253        | 17.0  | 5304  | 0.3567          | 0.6859   |
| 0.3155        | 18.0  | 5616  | 0.3279          | 0.7112   |
| 0.3155        | 19.0  | 5928  | 0.3257          | 0.7256   |
| 0.3145        | 20.0  | 6240  | 0.3337          | 0.7112   |
| 0.3051        | 21.0  | 6552  | 0.3289          | 0.7365   |
| 0.3051        | 22.0  | 6864  | 0.3523          | 0.6931   |
| 0.3015        | 23.0  | 7176  | 0.3459          | 0.7040   |
| 0.3015        | 24.0  | 7488  | 0.3323          | 0.7076   |
| 0.2952        | 25.0  | 7800  | 0.3445          | 0.7329   |
| 0.289         | 26.0  | 8112  | 0.3554          | 0.7329   |
| 0.289         | 27.0  | 8424  | 0.3210          | 0.7292   |
| 0.2876        | 28.0  | 8736  | 0.3204          | 0.7365   |
| 0.2862        | 29.0  | 9048  | 0.3374          | 0.7509   |
| 0.2862        | 30.0  | 9360  | 0.3778          | 0.7112   |
| 0.2814        | 31.0  | 9672  | 0.3352          | 0.7401   |
| 0.2814        | 32.0  | 9984  | 0.3251          | 0.7256   |
| 0.2777        | 33.0  | 10296 | 0.3574          | 0.7617   |
| 0.2698        | 34.0  | 10608 | 0.3330          | 0.7292   |
| 0.2698        | 35.0  | 10920 | 0.3388          | 0.7220   |
| 0.2714        | 36.0  | 11232 | 0.3222          | 0.7329   |
| 0.2695        | 37.0  | 11544 | 0.3482          | 0.7473   |
| 0.2695        | 38.0  | 11856 | 0.3447          | 0.7437   |
| 0.2637        | 39.0  | 12168 | 0.3394          | 0.7401   |
| 0.2637        | 40.0  | 12480 | 0.3264          | 0.7401   |
| 0.2646        | 41.0  | 12792 | 0.3311          | 0.7401   |
| 0.2613        | 42.0  | 13104 | 0.3322          | 0.7365   |
| 0.2613        | 43.0  | 13416 | 0.3411          | 0.7473   |
| 0.2539        | 44.0  | 13728 | 0.3298          | 0.7581   |
| 0.2543        | 45.0  | 14040 | 0.3442          | 0.7437   |
| 0.2543        | 46.0  | 14352 | 0.3399          | 0.7545   |
| 0.2516        | 47.0  | 14664 | 0.3330          | 0.7473   |
| 0.2516        | 48.0  | 14976 | 0.3299          | 0.7473   |
| 0.2509        | 49.0  | 15288 | 0.3407          | 0.7401   |
| 0.2484        | 50.0  | 15600 | 0.3268          | 0.7581   |
| 0.2484        | 51.0  | 15912 | 0.3386          | 0.7509   |
| 0.2491        | 52.0  | 16224 | 0.3323          | 0.7581   |
| 0.2483        | 53.0  | 16536 | 0.3448          | 0.7473   |
| 0.2483        | 54.0  | 16848 | 0.3339          | 0.7545   |
| 0.2452        | 55.0  | 17160 | 0.3343          | 0.7473   |
| 0.2452        | 56.0  | 17472 | 0.3408          | 0.7509   |
| 0.2456        | 57.0  | 17784 | 0.3374          | 0.7545   |
| 0.2429        | 58.0  | 18096 | 0.3360          | 0.7473   |
| 0.2429        | 59.0  | 18408 | 0.3345          | 0.7545   |
| 0.2436        | 60.0  | 18720 | 0.3362          | 0.7473   |


### Framework versions

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