metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: LLMGUARD-roberta
results: []
LLMGUARD-roberta
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6566
- Accuracy: 0.7760
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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6725 | 1.0 | 1332 | 0.8128 | 0.7566 |
| 0.7216 | 2.0 | 2664 | 0.6906 | 0.7707 |
| 0.6441 | 3.0 | 3996 | 0.6679 | 0.7743 |
| 0.5968 | 4.0 | 5328 | 0.6599 | 0.7790 |
| 0.562 | 5.0 | 6660 | 0.6604 | 0.7777 |
| 0.5516 | 6.0 | 7992 | 0.6527 | 0.7763 |
| 0.5497 | 7.0 | 9324 | 0.6550 | 0.7767 |
| 0.513 | 8.0 | 10656 | 0.6566 | 0.7760 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0