roberta-base-detect-cheapfake-combined-train-test-10200-2-8
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5062
- Accuracy: 0.875
- F1: 0.8619
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 | 319 | 0.6261 | 0.69 | 0.5571 |
| 0.1573 | 2.0 | 638 | 0.4591 | 0.88 | 0.8696 |
| 0.1573 | 3.0 | 957 | 0.5378 | 0.82 | 0.8302 |
| 0.0598 | 4.0 | 1276 | 0.5968 | 0.85 | 0.8276 |
| 0.0471 | 5.0 | 1595 | 0.5062 | 0.875 | 0.8619 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
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Model tree for hoanghoavienvo/roberta-base-detect-cheapfake-combined-train-test-10200-2-8
Base model
FacebookAI/roberta-base