---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: hBERTv1_data_aug_mrpc
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE MRPC
      type: glue
      args: mrpc
    metrics:
    - name: Accuracy
      type: accuracy
      value: 1.0
    - name: F1
      type: f1
      value: 1.0
---

<!-- 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. -->

# hBERTv1_data_aug_mrpc

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- 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: 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 | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
| 0.1151        | 1.0   | 980  | 0.0045          | 0.9975   | 0.9982 | 0.9979         |
| 0.0108        | 2.0   | 1960 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0063        | 3.0   | 2940 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0054        | 4.0   | 3920 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.004         | 5.0   | 4900 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0053        | 6.0   | 5880 | 0.0002          | 1.0      | 1.0    | 1.0            |
| 0.0046        | 7.0   | 6860 | 0.0003          | 1.0      | 1.0    | 1.0            |
| 0.0116        | 8.0   | 7840 | 0.0150          | 0.9975   | 0.9982 | 0.9979         |
| 0.0093        | 9.0   | 8820 | 0.0015          | 1.0      | 1.0    | 1.0            |
| 0.0123        | 10.0  | 9800 | 0.0164          | 0.9975   | 0.9982 | 0.9979         |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.10.1
- Tokenizers 0.13.2