---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: mobilebert_sa_GLUE_Experiment_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: 0.09007205990892461
---

<!-- 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. -->

# mobilebert_sa_GLUE_Experiment_cola

This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6893
- Matthews Correlation: 0.0901

## 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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6197        | 1.0   | 34   | 0.6239          | 0.0                  |
| 0.6078        | 2.0   | 68   | 0.6179          | 0.0                  |
| 0.6064        | 3.0   | 102  | 0.6180          | 0.0                  |
| 0.6073        | 4.0   | 136  | 0.6176          | 0.0                  |
| 0.6069        | 5.0   | 170  | 0.6173          | 0.0                  |
| 0.6043        | 6.0   | 204  | 0.6166          | 0.0                  |
| 0.6004        | 7.0   | 238  | 0.6131          | 0.0                  |
| 0.5842        | 8.0   | 272  | 0.6241          | 0.0951               |
| 0.5192        | 9.0   | 306  | 0.6362          | 0.0598               |
| 0.4884        | 10.0  | 340  | 0.7010          | 0.0801               |
| 0.4559        | 11.0  | 374  | 0.6731          | 0.0905               |
| 0.4367        | 12.0  | 408  | 0.6893          | 0.0901               |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2