---
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/bert_tiny_lda_50_v1_book
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert_tiny_lda_50_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: 0.8727924808310661
    - name: F1
      type: f1
      value: 0.8236584947711297
---

<!-- 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_50_v1_book_qqp

This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_50_v1_book) on the GLUE QQP dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3001
- Accuracy: 0.8728
- F1: 0.8237
- Combined Score: 0.8482

## 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 | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
| 0.4008        | 1.0   | 1422  | 0.3670          | 0.8389   | 0.7596 | 0.7993         |
| 0.3043        | 2.0   | 2844  | 0.3162          | 0.8636   | 0.8129 | 0.8383         |
| 0.2505        | 3.0   | 4266  | 0.3001          | 0.8728   | 0.8237 | 0.8482         |
| 0.2074        | 4.0   | 5688  | 0.3213          | 0.8740   | 0.8186 | 0.8463         |
| 0.1699        | 5.0   | 7110  | 0.3346          | 0.8776   | 0.8287 | 0.8531         |
| 0.1392        | 6.0   | 8532  | 0.3586          | 0.8808   | 0.8395 | 0.8602         |
| 0.1151        | 7.0   | 9954  | 0.3763          | 0.8820   | 0.8390 | 0.8605         |
| 0.0954        | 8.0   | 11376 | 0.3984          | 0.8820   | 0.8376 | 0.8598         |


### Framework versions

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