---
library_name: transformers
base_model: gokulsrinivasagan/bert_base_lda_5_v1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_lda_5_v1_qnli
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_lda_5_v1_qnli

This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9600
- Accuracy: 0.7428

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6432        | 1.0   | 410  | 0.5686          | 0.7057   |
| 0.514         | 2.0   | 820  | 0.4835          | 0.7721   |
| 0.3845        | 3.0   | 1230 | 0.5231          | 0.7651   |
| 0.2671        | 4.0   | 1640 | 0.6302          | 0.7608   |
| 0.1749        | 5.0   | 2050 | 0.7121          | 0.7635   |
| 0.1231        | 6.0   | 2460 | 0.7854          | 0.7619   |
| 0.0932        | 7.0   | 2870 | 0.9600          | 0.7428   |


### Framework versions

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