74 lines
2.1 KiB
Markdown
74 lines
2.1 KiB
Markdown
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---
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library_name: transformers
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base_model: cs-552-2026-MMRF/15kDPO
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tags:
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- generated_from_trainer
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model-index:
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- name: 2xwildguard
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# 2xwildguard
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.0466
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.0856 | 0.0714 | 50 | 0.0800 |
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| 0.0673 | 0.1428 | 100 | 0.0686 |
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| 0.0722 | 0.2142 | 150 | 0.0625 |
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| 0.0506 | 0.2856 | 200 | 0.0613 |
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| 0.0480 | 0.3570 | 250 | 0.0549 |
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| 0.0426 | 0.4283 | 300 | 0.0536 |
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| 0.0520 | 0.4997 | 350 | 0.0523 |
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| 0.0446 | 0.5711 | 400 | 0.0502 |
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| 0.0586 | 0.6425 | 450 | 0.0477 |
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| 0.0502 | 0.7139 | 500 | 0.0477 |
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| 0.0474 | 0.7853 | 550 | 0.0475 |
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| 0.0456 | 0.8567 | 600 | 0.0471 |
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| 0.0491 | 0.9281 | 650 | 0.0466 |
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| 0.0563 | 0.9995 | 700 | 0.0466 |
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| 0.0563 | 1.0 | 701 | 0.0466 |
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### Framework versions
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- Transformers 5.7.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.5
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- Tokenizers 0.22.2
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