metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
args: cola
metrics:
- type: matthews_correlation
value: 0.5317477654019562
name: Matthews Correlation
distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7578
- Matthews Correlation: 0.5317
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5239 | 1.0 | 535 | 0.5219 | 0.4097 |
| 0.3483 | 2.0 | 1070 | 0.5775 | 0.4913 |
| 0.2296 | 3.0 | 1605 | 0.6440 | 0.4903 |
| 0.1734 | 4.0 | 2140 | 0.7578 | 0.5317 |
| 0.137 | 5.0 | 2675 | 0.8612 | 0.5192 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.7.1+cu110
- Datasets 2.4.0
- Tokenizers 0.12.1