metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-batch-16
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split: validation
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.5992215466535732
bert-base-uncased-finetuned-cola-batch-16
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: 0.4502
- Matthews Correlation: 0.5992
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 |
|---|---|---|---|---|
| 0.4987 | 1.0 | 535 | 0.5145 | 0.4872 |
| 0.3065 | 2.0 | 1070 | 0.4502 | 0.5992 |
| 0.2059 | 3.0 | 1605 | 0.7547 | 0.5208 |
| 0.1467 | 4.0 | 2140 | 0.8557 | 0.5390 |
| 0.1006 | 5.0 | 2675 | 0.9277 | 0.5550 |
| 0.0796 | 6.0 | 3210 | 1.0832 | 0.5765 |
| 0.0532 | 7.0 | 3745 | 1.0337 | 0.5687 |
| 0.0367 | 8.0 | 4280 | 1.1539 | 0.5779 |
| 0.0276 | 9.0 | 4815 | 1.3224 | 0.5755 |
| 0.0192 | 10.0 | 5350 | 1.3055 | 0.5810 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3