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
config: cola
split: train
args: cola
metrics:
- type: matthews_correlation
value: 0.538017794243896
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: 0.7303
- Matthews Correlation: 0.5380
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 |
|---|---|---|---|---|
| 0.2672 | 1.0 | 535 | 0.6988 | 0.4674 |
| 0.2414 | 2.0 | 1070 | 0.6748 | 0.4729 |
| 0.1682 | 3.0 | 1605 | 0.7303 | 0.5380 |
| 0.1415 | 4.0 | 2140 | 0.9895 | 0.4806 |
| 0.0971 | 5.0 | 2675 | 0.9933 | 0.5321 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2