---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-lora-text-classification
  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. -->

# roberta-base-lora-text-classification

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4596
- Accuracy: {'accuracy': 0.937}

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy            |
|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
| No log        | 1.0   | 250  | 0.2240          | {'accuracy': 0.942} |
| 0.3471        | 2.0   | 500  | 0.3056          | {'accuracy': 0.932} |
| 0.3471        | 3.0   | 750  | 0.3573          | {'accuracy': 0.937} |
| 0.0905        | 4.0   | 1000 | 0.4528          | {'accuracy': 0.945} |
| 0.0905        | 5.0   | 1250 | 0.4691          | {'accuracy': 0.938} |
| 0.0447        | 6.0   | 1500 | 0.4596          | {'accuracy': 0.937} |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0