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Model: cs-552-2026-MMRF/safety_model Source: Original Platform
2026-06-13 09:50:16 +08:00
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+---
+library_name: transformers
+base_model: cs-552-2026-MMRF/15kDPO
+tags:
+- generated_from_trainer
+model-index:
+- name: 2xwildguard
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 2xwildguard
+
+This model is a fine-tuned version of [cs-552-2026-MMRF/15kDPO](https://huggingface.co/cs-552-2026-MMRF/15kDPO) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0466
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0856        | 0.0714 | 50   | 0.0800          |
+| 0.0673        | 0.1428 | 100  | 0.0686          |
+| 0.0722        | 0.2142 | 150  | 0.0625          |
+| 0.0506        | 0.2856 | 200  | 0.0613          |
+| 0.0480        | 0.3570 | 250  | 0.0549          |
+| 0.0426        | 0.4283 | 300  | 0.0536          |
+| 0.0520        | 0.4997 | 350  | 0.0523          |
+| 0.0446        | 0.5711 | 400  | 0.0502          |
+| 0.0586        | 0.6425 | 450  | 0.0477          |
+| 0.0502        | 0.7139 | 500  | 0.0477          |
+| 0.0474        | 0.7853 | 550  | 0.0475          |
+| 0.0456        | 0.8567 | 600  | 0.0471          |
+| 0.0491        | 0.9281 | 650  | 0.0466          |
+| 0.0563        | 0.9995 | 700  | 0.0466          |
+| 0.0563        | 1.0    | 701  | 0.0466          |
+
+
+### Framework versions
+
+- Transformers 5.7.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.8.5
+- Tokenizers 0.22.2