metadata
license: apache-2.0
tags:
- classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: sentence-acceptability
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split: validation
args: cola
metrics:
- name: Accuracy
type: accuracy
value: 0.8216682646212847
sentence-acceptability
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.8257
- Accuracy: 0.8217
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4868 | 1.0 | 1069 | 0.6279 | 0.7862 |
| 0.3037 | 2.0 | 2138 | 0.6184 | 0.8140 |
| 0.177 | 3.0 | 3207 | 0.8257 | 0.8217 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2