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---
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
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