---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: bert-base-cased
model-index:
- name: BERT-TextClassification
  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-TextClassification

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: 0.3769
- Accuracy: 0.841

## 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.6928          | 0.518    |
| No log        | 2.0   | 250  | 0.6834          | 0.573    |
| No log        | 3.0   | 375  | 0.6808          | 0.534    |
| 0.6958        | 4.0   | 500  | 0.6763          | 0.533    |
| 0.6958        | 5.0   | 625  | 0.6564          | 0.639    |
| 0.6958        | 6.0   | 750  | 0.6368          | 0.672    |
| 0.6958        | 7.0   | 875  | 0.6091          | 0.699    |
| 0.6446        | 8.0   | 1000 | 0.5769          | 0.713    |
| 0.6446        | 9.0   | 1125 | 0.5434          | 0.73     |
| 0.6446        | 10.0  | 1250 | 0.5142          | 0.748    |
| 0.6446        | 11.0  | 1375 | 0.4820          | 0.757    |
| 0.5224        | 12.0  | 1500 | 0.4638          | 0.785    |
| 0.5224        | 13.0  | 1625 | 0.4383          | 0.792    |
| 0.5224        | 14.0  | 1750 | 0.4222          | 0.804    |
| 0.5224        | 15.0  | 1875 | 0.4121          | 0.816    |
| 0.4233        | 16.0  | 2000 | 0.3995          | 0.826    |
| 0.4233        | 17.0  | 2125 | 0.3958          | 0.822    |
| 0.4233        | 18.0  | 2250 | 0.3886          | 0.833    |
| 0.4233        | 19.0  | 2375 | 0.3843          | 0.832    |
| 0.3784        | 20.0  | 2500 | 0.3820          | 0.835    |
| 0.3784        | 21.0  | 2625 | 0.3804          | 0.834    |
| 0.3784        | 22.0  | 2750 | 0.3784          | 0.836    |
| 0.3784        | 23.0  | 2875 | 0.3773          | 0.84     |
| 0.3621        | 24.0  | 3000 | 0.3771          | 0.841    |
| 0.3621        | 25.0  | 3125 | 0.3769          | 0.841    |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2