---
library_name: peft
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Roberta_news_classification_text_title_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. -->

# Roberta_news_classification_text_title_Lora

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: 0.0284
- F1: 0.9874
- Acc: 0.9870

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.2083        | 1.0   | 1521 | 0.0322          | 0.9858 | 0.9854 |
| 0.0334        | 2.0   | 3042 | 0.0291          | 0.9866 | 0.9862 |
| 0.03          | 3.0   | 4563 | 0.0284          | 0.9874 | 0.9870 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1