---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: mobilebert_sa_GLUE_Experiment_logit_kd_cola_256
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE COLA
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.0
---

<!-- 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_logit_kd_cola_256

This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6753
- Matthews Correlation: 0.0

## 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: 128
- eval_batch_size: 128
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.8155        | 1.0   | 67   | 0.6867          | 0.0                  |
| 0.797         | 2.0   | 134  | 0.6862          | 0.0                  |
| 0.7961        | 3.0   | 201  | 0.6836          | 0.0                  |
| 0.7944        | 4.0   | 268  | 0.6821          | 0.0                  |
| 0.7863        | 5.0   | 335  | 0.6753          | 0.0                  |
| 0.7138        | 6.0   | 402  | 0.6790          | 0.1085               |
| 0.6262        | 7.0   | 469  | 0.7238          | 0.1231               |
| 0.5782        | 8.0   | 536  | 0.7285          | 0.1281               |
| 0.5482        | 9.0   | 603  | 0.7484          | 0.1281               |
| 0.5318        | 10.0  | 670  | 0.7918          | 0.1182               |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2