---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-8-10-0.01
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.0
---

<!-- 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. -->

# bert-base-uncased-8-10-0.01

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8324
- 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: 0.01
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 400  | 0.8324          | 0.0                  |
| 1.0904        | 2.0   | 800  | 1.3157          | 0.0                  |
| 0.9461        | 3.0   | 1200 | 0.4407          | 0.0                  |
| 0.9565        | 4.0   | 1600 | 2.1082          | 0.0                  |
| 1.024         | 5.0   | 2000 | 0.7220          | 0.0                  |
| 1.024         | 6.0   | 2400 | 0.7414          | 0.0                  |
| 0.8362        | 7.0   | 2800 | 0.4442          | 0.0                  |
| 0.6765        | 8.0   | 3200 | 0.5481          | 0.0                  |
| 0.5902        | 9.0   | 3600 | 0.5642          | 0.0                  |
| 0.5476        | 10.0  | 4000 | 0.4449          | 0.0                  |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.9.0
- Datasets 1.18.3
- Tokenizers 0.11.0
