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: hBERTv2_new_pretrain_cola
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE COLA
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.0
      name: Matthews Correlation
---

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# hBERTv2_new_pretrain_cola

This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6173
- 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: 4e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6294        | 1.0   | 67   | 0.6236          | 0.0                  |
| 0.6169        | 2.0   | 134  | 0.6312          | 0.0                  |
| 0.6115        | 3.0   | 201  | 0.6173          | 0.0                  |
| 0.6372        | 4.0   | 268  | 0.6201          | 0.0                  |
| 0.6087        | 5.0   | 335  | 0.6217          | 0.0                  |
| 0.6086        | 6.0   | 402  | 0.6248          | 0.0                  |
| 0.6113        | 7.0   | 469  | 0.6283          | 0.0                  |
| 0.6109        | 8.0   | 536  | 0.6200          | 0.0                  |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
