transformers pytorch tensorboard hybridbert text-classification generated_from_trainer en dataset:glue model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- glue
language:
- en
metrics:
- matthews_correlation
tags:
- generated_from_trainer
model-index:
- name: hBERTv1_data_aug_cola
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE COLA
      type: glue
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.0
      name: Matthews Correlation
---

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# hBERTv1_data_aug_cola

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 COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6183
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6084        | 1.0   | 835  | 0.6252          | 0.0                  |
| 0.6066        | 2.0   | 1670 | 0.6183          | 0.0                  |
| 0.6065        | 3.0   | 2505 | 0.6185          | 0.0                  |
| 0.6062        | 4.0   | 3340 | 0.6219          | 0.0                  |
| 0.6061        | 5.0   | 4175 | 0.6205          | 0.0                  |
| 0.6066        | 6.0   | 5010 | 0.6184          | 0.0                  |
| 0.6061        | 7.0   | 5845 | 0.6187          | 0.0                  |


### Framework versions

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