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distilroberta-base-detect-dep
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5551
- Accuracy: 0.74
- F1: 0.8097
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: 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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.0 | 376 | 0.5390 | 0.751 | 0.8258 |
0.6156 | 2.0 | 752 | 0.5483 | 0.763 | 0.8276 |
0.5787 | 3.0 | 1128 | 0.5385 | 0.761 | 0.8284 |
0.5494 | 4.0 | 1504 | 0.5474 | 0.743 | 0.8120 |
0.5494 | 5.0 | 1880 | 0.5551 | 0.74 | 0.8097 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3