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---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: add_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. -->
# add_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: 0.6181
- 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: 4e-05
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
| 0.6339 | 1.0 | 67 | 0.6182 | 0.0 | 0.6913 |
| 0.6177 | 2.0 | 134 | 0.6421 | 0.0 | 0.6913 |
| 0.6204 | 3.0 | 201 | 0.6295 | 0.0 | 0.6913 |
| 0.6182 | 4.0 | 268 | 0.6268 | 0.0 | 0.6913 |
| 0.6149 | 5.0 | 335 | 0.6181 | 0.0 | 0.6913 |
| 0.612 | 6.0 | 402 | 0.6189 | 0.0 | 0.6913 |
| 0.6132 | 7.0 | 469 | 0.6292 | 0.0 | 0.6913 |
| 0.6125 | 8.0 | 536 | 0.6185 | 0.0 | 0.6913 |
| 0.6108 | 9.0 | 603 | 0.6280 | 0.0 | 0.6913 |
| 0.6092 | 10.0 | 670 | 0.6310 | 0.0 | 0.6913 |
### Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
|