---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_00
  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: 0.5909585115904812
---

<!-- 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_HW2_sepehr_bakhshi_dropout_00

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: 1.3418
- Matthews Correlation: 0.5910

## 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: 1.9628623388222396e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.484         | 1.0   | 535  | 0.4557          | 0.5053               |
| 0.3013        | 2.0   | 1070 | 0.4224          | 0.5711               |
| 0.1949        | 3.0   | 1605 | 0.8633          | 0.5523               |
| 0.1399        | 4.0   | 2140 | 0.7826          | 0.5858               |
| 0.0933        | 5.0   | 2675 | 0.9575          | 0.5846               |
| 0.0607        | 6.0   | 3210 | 1.0032          | 0.5694               |
| 0.0554        | 7.0   | 3745 | 1.2276          | 0.5702               |
| 0.0368        | 8.0   | 4280 | 1.2437          | 0.5761               |
| 0.0303        | 9.0   | 4815 | 1.2978          | 0.5889               |
| 0.0146        | 10.0  | 5350 | 1.3418          | 0.5910               |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3