---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/distilbert_lda_5_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilbert_lda_5_v1_book_qqp
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: GLUE QQP
      type: glue
      args: qqp
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8923818946326985
    - name: F1
      type: f1
      value: 0.8591772664012687
---

<!-- 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_v1_book_qqp

This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1_book) on the GLUE QQP dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2694
- Accuracy: 0.8924
- F1: 0.8592
- Combined Score: 0.8758

## 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 | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
| 0.3639        | 1.0   | 1422  | 0.2923          | 0.8723   | 0.8247 | 0.8485         |
| 0.2514        | 2.0   | 2844  | 0.2710          | 0.8812   | 0.8480 | 0.8646         |
| 0.1851        | 3.0   | 4266  | 0.2694          | 0.8924   | 0.8592 | 0.8758         |
| 0.134         | 4.0   | 5688  | 0.2956          | 0.8939   | 0.8562 | 0.8750         |
| 0.0985        | 5.0   | 7110  | 0.3307          | 0.8945   | 0.8562 | 0.8753         |
| 0.076         | 6.0   | 8532  | 0.3846          | 0.8946   | 0.8588 | 0.8767         |
| 0.0609        | 7.0   | 9954  | 0.3922          | 0.8930   | 0.8558 | 0.8744         |
| 0.0505        | 8.0   | 11376 | 0.4375          | 0.8933   | 0.8583 | 0.8758         |


### Framework versions

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