---
base_model: bert-base-cased
library_name: peft
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: bert-lora
  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. -->

# bert-lora

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4540
- Accuracy: 0.78

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.6659          | 0.64     |
| No log        | 2.0   | 250  | 0.6518          | 0.64     |
| No log        | 3.0   | 375  | 0.6353          | 0.66     |
| 0.6613        | 4.0   | 500  | 0.6126          | 0.7      |
| 0.6613        | 5.0   | 625  | 0.5862          | 0.7      |
| 0.6613        | 6.0   | 750  | 0.5677          | 0.68     |
| 0.6613        | 7.0   | 875  | 0.5350          | 0.72     |
| 0.5607        | 8.0   | 1000 | 0.5163          | 0.74     |
| 0.5607        | 9.0   | 1125 | 0.4980          | 0.74     |
| 0.5607        | 10.0  | 1250 | 0.4821          | 0.75     |
| 0.5607        | 11.0  | 1375 | 0.4738          | 0.77     |
| 0.4757        | 12.0  | 1500 | 0.4633          | 0.78     |
| 0.4757        | 13.0  | 1625 | 0.4574          | 0.78     |
| 0.4757        | 14.0  | 1750 | 0.4553          | 0.78     |
| 0.4757        | 15.0  | 1875 | 0.4540          | 0.78     |


### Framework versions

- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1