metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: roberta-base-detect-cheapfake-combined-train-test-contradict-5-5
results: []
roberta-base-detect-cheapfake-combined-train-test-contradict-5-5
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4564
- Accuracy: 0.87
- F1: 0.8550
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-06
- train_batch_size: 32
- eval_batch_size: 32
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 172 | 0.4396 | 0.8133 | 0.7565 |
| No log | 2.0 | 344 | 0.3395 | 0.8567 | 0.8401 |
| 0.1806 | 3.0 | 516 | 0.4137 | 0.8633 | 0.8417 |
| 0.1806 | 4.0 | 688 | 0.4293 | 0.8633 | 0.8441 |
| 0.1806 | 5.0 | 860 | 0.4564 | 0.87 | 0.8550 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1