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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: electra-base-discriminator-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: 0.6579677841732349
widget:
- text: The cat sat on the mat.
example_title: Correct grammatical sentence
- text: Me and my friend going to the store.
example_title: Incorrect subject-verb agreement
- text: I ain't got no money.
example_title: Incorrect verb conjugation and double negative
- text: She don't like pizza no more.
example_title: Incorrect verb conjugation and double negative
- text: They is arriving tomorrow.
example_title: Incorrect verb conjugation
---
# electra-base-discriminator-CoLA
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3542
- Matthews Correlation: 0.6580
## Model description
Trying to find a decent optimum between accuracy/quality and inference speed.
```json
{
"epoch": 8.0,
"eval_loss": 0.3541961908340454,
"eval_matthews_correlation": 0.6579677841732349,
"eval_runtime": 1.9552,
"eval_samples": 1043,
"eval_samples_per_second": 533.451,
"eval_steps_per_second": 33.756
}
```
## 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: 8e-05
- train_batch_size: 128
- eval_batch_size: 16
- seed: 22165
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 8.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4004 | 1.0 | 67 | 0.3569 | 0.6340 |
| 0.2843 | 2.0 | 134 | 0.3542 | 0.6580 |
| 0.1228 | 3.0 | 201 | 0.4201 | 0.6412 |
| 0.0989 | 4.0 | 268 | 0.4780 | 0.6757 |
| 0.0681 | 5.0 | 335 | 0.4900 | 0.6925 |
| 0.0506 | 6.0 | 402 | 0.5837 | 0.6785 |
| 0.0093 | 7.0 | 469 | 0.6298 | 0.6652 |
| 0.0244 | 8.0 | 536 | 0.6292 | 0.6750 |
### Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.1
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