transformers pytorch tensorboard mobilebert text-classification generated_from_trainer en dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- glue
language:
- en
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: mobilebert_sa_GLUE_Experiment_data_aug_mrpc
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE MRPC
      type: glue
      args: mrpc
    metrics:
    - type: accuracy
      value: 1.0
      name: Accuracy
    - type: f1
      value: 1.0
      name: F1
---

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# mobilebert_sa_GLUE_Experiment_data_aug_mrpc

This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- F1: 1.0
- Combined Score: 1.0

## 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 | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
| 0.1838        | 1.0   | 1959  | 0.0138          | 0.9951   | 0.9964 | 0.9958         |
| 0.0406        | 2.0   | 3918  | 0.0055          | 1.0      | 1.0    | 1.0            |
| 0.0267        | 3.0   | 5877  | 0.0129          | 0.9975   | 0.9982 | 0.9979         |
| 0.0151        | 4.0   | 7836  | 0.0004          | 1.0      | 1.0    | 1.0            |
| 0.0108        | 5.0   | 9795  | 0.0104          | 0.9975   | 0.9982 | 0.9979         |
| 0.0075        | 6.0   | 11754 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0059        | 7.0   | 13713 | 0.0005          | 1.0      | 1.0    | 1.0            |
| 0.0047        | 8.0   | 15672 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0033        | 9.0   | 17631 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0031        | 10.0  | 19590 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0025        | 11.0  | 21549 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0019        | 12.0  | 23508 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0019        | 13.0  | 25467 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0014        | 14.0  | 27426 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.001         | 15.0  | 29385 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.001         | 16.0  | 31344 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0009        | 17.0  | 33303 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0009        | 18.0  | 35262 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0006        | 19.0  | 37221 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0006        | 20.0  | 39180 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 21.0  | 41139 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 22.0  | 43098 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0005        | 23.0  | 45057 | 0.0000          | 1.0      | 1.0    | 1.0            |


### Framework versions

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