---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_tiny_lda_5_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: bert_tiny_lda_5_v1_book_cola
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE COLA
      type: glue
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.2911416522578436
    - name: Accuracy
      type: accuracy
      value: 0.7286673188209534
---

<!-- 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_tiny_lda_5_v1_book_cola

This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_5_v1_book) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5533
- Matthews Correlation: 0.2911
- Accuracy: 0.7287

## 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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
| 0.608         | 1.0   | 34   | 0.5934          | 0.0                  | 0.6913   |
| 0.5582        | 2.0   | 68   | 0.5758          | 0.2106               | 0.7133   |
| 0.4656        | 3.0   | 102  | 0.5533          | 0.2911               | 0.7287   |
| 0.386         | 4.0   | 136  | 0.6199          | 0.2784               | 0.7258   |
| 0.3164        | 5.0   | 170  | 0.6492          | 0.2738               | 0.7191   |
| 0.2656        | 6.0   | 204  | 0.6995          | 0.2904               | 0.7239   |
| 0.2146        | 7.0   | 238  | 0.8111          | 0.2863               | 0.7267   |
| 0.1798        | 8.0   | 272  | 0.7927          | 0.2940               | 0.7239   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3