---
library_name: transformers
base_model: gokulsrinivasagan/distilbert_lda_100_v1_book
tags:
- generated_from_trainer
metrics:
- matthews_correlation
- accuracy
model-index:
- name: distilbert_lda_100_v1_book_cola
  results: []
---

<!-- 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_100_v1_book_cola

This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/distilbert_lda_100_v1_book) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7496
- Matthews Correlation: 0.3430
- Accuracy: 0.7373

## 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 OptimizerNames.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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
| 0.6088        | 1.0   | 34   | 0.6095          | 0.0                  | 0.6913   |
| 0.5811        | 2.0   | 68   | 0.5894          | 0.1806               | 0.7009   |
| 0.4993        | 3.0   | 102  | 0.5656          | 0.2542               | 0.7181   |
| 0.4235        | 4.0   | 136  | 0.6414          | 0.2643               | 0.7267   |
| 0.335         | 5.0   | 170  | 0.6178          | 0.3053               | 0.7277   |
| 0.2571        | 6.0   | 204  | 0.6787          | 0.3185               | 0.7335   |
| 0.1982        | 7.0   | 238  | 0.7716          | 0.3333               | 0.7430   |
| 0.174         | 8.0   | 272  | 0.7496          | 0.3430               | 0.7373   |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.2.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1