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---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
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
base_model: microsoft/deberta-v3-xsmall
model-index:
- name: deberta-v3-xsmall-CoLA
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: GLUE COLA
type: glue
config: cola
split: validation
args: cola
metrics:
- type: matthews_correlation
value: 0.5894856058137782
name: Matthews Correlation
---
# deberta-v3-xsmall-CoLA
This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4237
- Matthews Correlation: 0.5895
## Model description
Trying to find a decent optimum between accuracy/quality and inference speed.
```json
{
"epoch": 3.0,
"eval_loss": 0.423,
"eval_matthews_correlation": 0.589,
"eval_runtime": 5.0422,
"eval_samples": 1043,
"eval_samples_per_second": 206.853,
"eval_steps_per_second": 51.763
}
```
## 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: 6e-05
- train_batch_size: 32
- eval_batch_size: 4
- seed: 16105
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.3945 | 1.0 | 67 | 0.4323 | 0.5778 |
| 0.3214 | 2.0 | 134 | 0.4237 | 0.5895 |
| 0.3059 | 3.0 | 201 | 0.4636 | 0.5795 |
### Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.1
|