---
library_name: peft
license: mit
base_model: FaceBookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Lora_model2
  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. -->

# Sharpaxis/RoBERTa_Movie_Review_LoRA

This model is a fine-tuned version of [FaceBookAI/roberta-base](https://huggingface.co./FaceBookAI/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3046
- F1: 0.8737
- Acc: 0.8734

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.5074        | 1.0   | 534  | 0.3279          | 0.8635 | 0.8565 |
| 0.3222        | 2.0   | 1068 | 0.3106          | 0.8742 | 0.8771 |
| 0.3153        | 3.0   | 1602 | 0.3046          | 0.8737 | 0.8734 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3