---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-roberta-uncased-on-HOPE
  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. -->

# finetuned-roberta-uncased-on-HOPE

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: 1.3840
- Accuracy: 0.5350

## 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3484        | 1.0   | 578  | 1.3959          | 0.5158   |
| 1.2817        | 2.0   | 1156 | 1.4068          | 0.5176   |
| 1.1726        | 3.0   | 1734 | 1.4124          | 0.5501   |
| 0.8788        | 4.0   | 2312 | 1.4765          | 0.5239   |
| 0.8274        | 5.0   | 2890 | 1.6174          | 0.5140   |
| 0.6239        | 6.0   | 3468 | 1.8005          | 0.5068   |
| 0.4586        | 7.0   | 4046 | 1.9531          | 0.4995   |
| 0.4038        | 8.0   | 4624 | 2.1295          | 0.4869   |
| 0.3829        | 9.0   | 5202 | 2.1942          | 0.4887   |
| 0.3445        | 10.0  | 5780 | 2.2519          | 0.4878   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1