artificially-natural-roberta-02
This model is a fine-tuned version of ConnyGenz/artificially-natural-roberta-01 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0516
- F1: 0.993
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.0546 | 0.989 |
| 0.0227 | 2.0 | 500 | 0.0490 | 0.992 |
| 0.0227 | 3.0 | 750 | 0.0516 | 0.993 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1