---
base_model: FacebookAI/roberta-base
library_name: peft
license: mit
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: roberta-peft-rating
  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-peft-rating

This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9893
- Accuracy: 0.5555
- Mse: 0.6434

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 425  | 1.3347          | 0.3631   | 1.1621 |
| 1.3948        | 2.0   | 850  | 1.1884          | 0.4617   | 1.0093 |
| 1.2586        | 3.0   | 1275 | 1.0602          | 0.5153   | 0.6819 |
| 1.0752        | 4.0   | 1700 | 1.0236          | 0.5301   | 0.7255 |
| 1.028         | 5.0   | 2125 | 1.0017          | 0.5428   | 0.6455 |
| 1.0183        | 6.0   | 2550 | 0.9974          | 0.5527   | 0.6541 |
| 1.0183        | 7.0   | 2975 | 0.9956          | 0.5514   | 0.6307 |
| 1.0076        | 8.0   | 3400 | 0.9925          | 0.5527   | 0.6510 |
| 0.9974        | 9.0   | 3825 | 0.9914          | 0.5589   | 0.6427 |
| 0.9863        | 10.0  | 4250 | 0.9893          | 0.5555   | 0.6434 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1