---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: sa_BERT_no_pretrain_cola
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE COLA
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.0
    - name: Accuracy
      type: accuracy
      value: 0.6912751793861389
---

<!-- 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. -->

# sa_BERT_no_pretrain_cola

This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6180
- Matthews Correlation: 0.0
- Accuracy: 0.6913

## 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: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
| 0.8826        | 1.0   | 67   | 0.6624          | 0.0                  | 0.6913   |
| 0.616         | 2.0   | 134  | 0.6358          | 0.0                  | 0.6913   |
| 0.6134        | 3.0   | 201  | 0.6195          | 0.0                  | 0.6913   |
| 0.6139        | 4.0   | 268  | 0.6285          | 0.0                  | 0.6913   |
| 0.6117        | 5.0   | 335  | 0.6180          | 0.0                  | 0.6913   |
| 0.6099        | 6.0   | 402  | 0.6183          | 0.0                  | 0.6913   |
| 0.6113        | 7.0   | 469  | 0.6232          | 0.0                  | 0.6913   |
| 0.6135        | 8.0   | 536  | 0.6182          | 0.0                  | 0.6913   |
| 0.6094        | 9.0   | 603  | 0.6221          | 0.0                  | 0.6913   |
| 0.6096        | 10.0  | 670  | 0.6310          | 0.0                  | 0.6913   |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3