---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.5301312348234369
---
<!-- 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. -->
# distilbert-base-uncased-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2715
- Matthews Correlation: 0.5301
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.5216 | 1.0 | 535 | 0.5124 | 0.4104 |
| 0.3456 | 2.0 | 1070 | 0.5700 | 0.4692 |
| 0.2362 | 3.0 | 1605 | 0.7277 | 0.4844 |
| 0.1818 | 4.0 | 2140 | 0.7553 | 0.5007 |
| 0.1509 | 5.0 | 2675 | 0.9406 | 0.4987 |
| 0.1017 | 6.0 | 3210 | 0.9475 | 0.5387 |
| 0.0854 | 7.0 | 3745 | 1.0933 | 0.5317 |
| 0.051 | 8.0 | 4280 | 1.1719 | 0.5358 |
| 0.0512 | 9.0 | 4815 | 1.2296 | 0.5321 |
| 0.0308 | 10.0 | 5350 | 1.2715 | 0.5301 |
### Framework versions
- Transformers 4.12.3
- Pytorch 1.10.0+cu102
- Datasets 1.15.1
- Tokenizers 0.10.3