metadata
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: XLMHateSpeechClassification
results: []
XLMHateSpeechClassification
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7826
- Accuracy: 0.8319
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5749 | 1.0 | 1137 | 0.5185 | 0.7780 |
| 0.4785 | 2.0 | 2274 | 0.5458 | 0.7681 |
| 0.4545 | 3.0 | 3411 | 0.4246 | 0.8154 |
| 0.3938 | 4.0 | 4548 | 0.5763 | 0.8176 |
| 0.3554 | 5.0 | 5685 | 0.6506 | 0.8154 |
| 0.3368 | 6.0 | 6822 | 0.7826 | 0.8319 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0