50b872b03be8ea1de2b56990675689b8
This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll02-dutch on the contemmcm/hate-speech-and-offensive-language dataset. It achieves the following results on the evaluation set:
- Loss: 0.6782
- Data Size: 0.25
- Epoch Runtime: 34.1089
- Accuracy: 0.7672
- F1 Macro: 0.2894
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
|---|---|---|---|---|---|---|---|
| No log | 0 | 0 | 0.9577 | 0 | 7.8524 | 0.7646 | 0.2914 |
| No log | 1 | 619 | 0.6718 | 0.0078 | 8.7690 | 0.7672 | 0.2894 |
| No log | 2 | 1238 | 0.6317 | 0.0156 | 10.2849 | 0.7672 | 0.2894 |
| 0.0159 | 3 | 1857 | 0.6548 | 0.0312 | 12.7261 | 0.7672 | 0.2894 |
| 0.0159 | 4 | 2476 | 0.6813 | 0.0625 | 15.8751 | 0.7672 | 0.2894 |
| 0.665 | 5 | 3095 | 0.6862 | 0.125 | 22.1784 | 0.7672 | 0.2894 |
| 0.0642 | 6 | 3714 | 0.6782 | 0.25 | 34.1089 | 0.7672 | 0.2894 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1
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