transformers pytorch tensorboard bert text-classification generated_from_trainer dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- glue
license: apache-2.0
metrics:
- matthews_correlation
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-cola-dropout-0.2
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.5992215466535732
      name: Matthews Correlation
---

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# bert-base-uncased-finetuned-cola-dropout-0.2

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: 0.4502
- 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
