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xlm-roberta-base-finetuned-HC3
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5751
- F1: 0.4719
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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5787 | 1.0 | 2404 | 0.5774 | 0.4490 |
| 0.5745 | 2.0 | 4808 | 0.5753 | 0.4606 |
| 0.5803 | 3.0 | 7212 | 0.5762 | 0.4715 |
| 0.5709 | 4.0 | 9616 | 0.5750 | 0.4619 |
| 0.5725 | 5.0 | 12020 | 0.5751 | 0.4719 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
