metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: roberta-base-detect-cheapfake-combined-train-test-context
results: []
roberta-base-detect-cheapfake-combined-train-test-context
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4470
- Accuracy: 0.78
- F1: 0.7442
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 | 75 | 0.6170 | 0.49 | 0.6577 |
| No log | 2.0 | 150 | 0.4459 | 0.79 | 0.7692 |
| No log | 3.0 | 225 | 0.4441 | 0.79 | 0.7692 |
| No log | 4.0 | 300 | 0.4404 | 0.81 | 0.7865 |
| No log | 5.0 | 375 | 0.4470 | 0.78 | 0.7442 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1