---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-tiny-target-cola
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      config: cola
      split: train
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.14578167065086653
---

<!-- 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-tiny-target-cola

This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6626
- Matthews Correlation: 0.1458

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6124        | 1.87  | 500  | 0.6192          | 0.0                  |
| 0.6016        | 3.73  | 1000 | 0.6167          | 0.0                  |
| 0.5838        | 5.6   | 1500 | 0.6166          | 0.0149               |
| 0.5555        | 7.46  | 2000 | 0.6344          | 0.0465               |
| 0.5272        | 9.33  | 2500 | 0.6542          | 0.1399               |
| 0.5058        | 11.19 | 3000 | 0.6626          | 0.1458               |
| 0.4791        | 13.06 | 3500 | 0.6868          | 0.1192               |
| 0.4577        | 14.93 | 4000 | 0.7215          | 0.1230               |
| 0.4425        | 16.79 | 4500 | 0.7322          | 0.1243               |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2