metadata
license: mit
base_model: microsoft/deberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FakeNews-deberta-base-stopwords
results: []
FakeNews-deberta-base-stopwords
This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2102
- Accuracy: 0.9612
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| 0.3343 | 1.0 | 1605 | 0.3262 | 0.9196 |
| 0.3889 | 2.0 | 3210 | 0.3157 | 0.9276 |
| 0.2327 | 3.0 | 4815 | 0.2983 | 0.9383 |
| 0.2261 | 4.0 | 6420 | 0.2127 | 0.9528 |
| 0.1629 | 5.0 | 8025 | 0.2102 | 0.9612 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1