metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FakeNews-roberta-base-stopwords
results: []
FakeNews-roberta-base-stopwords
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1370
- Accuracy: 0.9706
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.354 | 1.0 | 803 | 0.2671 | 0.9477 |
| 0.1529 | 2.0 | 1606 | 0.1617 | 0.9565 |
| 0.1071 | 3.0 | 2409 | 0.1370 | 0.9706 |
| 0.0482 | 4.0 | 3212 | 0.1861 | 0.9710 |
| 0.0263 | 5.0 | 4015 | 0.1864 | 0.9710 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1