---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/distilbert_lda_5
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
- accuracy
model-index:
- name: distilbert_lda_5_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: 0.0
    - name: Accuracy
      type: accuracy
      value: 0.6912751793861389
---

<!-- 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. -->

# distilbert_lda_5_cola

This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6182
- Matthews Correlation: 0.0
- Accuracy: 0.6913

## 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: 0.001
- 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
| 0.9345        | 1.0   | 34   | 0.6220          | 0.0                  | 0.6913   |
| 0.6115        | 2.0   | 68   | 0.6194          | 0.0                  | 0.6913   |
| 0.6088        | 3.0   | 102  | 0.6195          | 0.0                  | 0.6913   |
| 0.6101        | 4.0   | 136  | 0.6185          | 0.0                  | 0.6913   |
| 0.6111        | 5.0   | 170  | 0.6182          | 0.0                  | 0.6913   |
| 0.6081        | 6.0   | 204  | 0.6195          | 0.0                  | 0.6913   |
| 0.6104        | 7.0   | 238  | 0.6197          | 0.0                  | 0.6913   |
| 0.6105        | 8.0   | 272  | 0.6252          | 0.0                  | 0.6913   |
| 0.6093        | 9.0   | 306  | 0.6257          | 0.0                  | 0.6913   |
| 0.6107        | 10.0  | 340  | 0.6184          | 0.0                  | 0.6913   |


### Framework versions

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