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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-learning_rate-2e-05
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: 0.5892439733711194
---
<!-- 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. -->
# bert-base-uncased-finetuned-cola-learning_rate-2e-05
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4480
- Matthews Correlation: 0.5892
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.5052 | 1.0 | 535 | 0.5532 | 0.5030 |
| 0.3006 | 2.0 | 1070 | 0.4480 | 0.5892 |
| 0.1918 | 3.0 | 1605 | 0.7164 | 0.5340 |
| 0.138 | 4.0 | 2140 | 0.8575 | 0.5570 |
| 0.0866 | 5.0 | 2675 | 1.1483 | 0.5211 |
| 0.0652 | 6.0 | 3210 | 0.9938 | 0.5816 |
| 0.046 | 7.0 | 3745 | 1.1453 | 0.5739 |
| 0.0314 | 8.0 | 4280 | 1.3524 | 0.5573 |
| 0.0212 | 9.0 | 4815 | 1.4664 | 0.5573 |
| 0.0203 | 10.0 | 5350 | 1.4505 | 0.5679 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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