---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: mobilebert_add_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_add_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: 0.6707
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.8133        | 1.0   | 67   | 0.6864          | 0.0                  |
| 0.797         | 2.0   | 134  | 0.6866          | 0.0                  |
| 0.7964        | 3.0   | 201  | 0.6832          | 0.0                  |
| 0.7948        | 4.0   | 268  | 0.6827          | 0.0                  |
| 0.7934        | 5.0   | 335  | 0.6787          | 0.0                  |
| 0.7759        | 6.0   | 402  | 0.6742          | 0.0                  |
| 0.761         | 7.0   | 469  | 0.6777          | 0.0                  |
| 0.756         | 8.0   | 536  | 0.6754          | 0.0                  |
| 0.7471        | 9.0   | 603  | 0.6772          | 0.0                  |
| 0.7457        | 10.0  | 670  | 0.6760          | 0.0                  |
| 0.7419        | 11.0  | 737  | 0.6707          | 0.0                  |
| 0.741         | 12.0  | 804  | 0.6729          | 0.0                  |
| 0.7351        | 13.0  | 871  | 0.6836          | 0.0758               |
| 0.7349        | 14.0  | 938  | 0.6769          | 0.0795               |
| 0.7357        | 15.0  | 1005 | 0.6715          | 0.0315               |
| 0.7333        | 16.0  | 1072 | 0.6813          | 0.0894               |


### Framework versions

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