---
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: hBERTv2_data_aug_cola
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hBERTv2_data_aug_cola

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6203
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6082        | 1.0   | 835  | 0.6237          | 0.0                  |
| 0.6068        | 2.0   | 1670 | 0.6186          | 0.0                  |
| 0.6064        | 3.0   | 2505 | 0.6181          | 0.0                  |
| 0.6062        | 4.0   | 3340 | 0.6218          | 0.0                  |
| 0.6061        | 5.0   | 4175 | 0.6212          | 0.0                  |
| 0.6062        | 6.0   | 5010 | 0.6186          | 0.0                  |
| 0.606         | 7.0   | 5845 | 0.6189          | 0.0                  |
| 0.6062        | 8.0   | 6680 | 0.6203          | 0.0                  |


### Framework versions

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