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--- |
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library_name: peft |
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license: mit |
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base_model: microsoft/Phi-4-mini-instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mitre_attack_model |
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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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# mitre_attack_model |
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This model is a fine-tuned version of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6524 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 2.9068 | 1.5201 | 50 | 2.7980 | |
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| 2.2862 | 3.0306 | 100 | 2.1574 | |
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| 1.8811 | 4.5507 | 150 | 1.8244 | |
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| 1.7806 | 6.0612 | 200 | 1.7332 | |
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| 1.7361 | 7.5813 | 250 | 1.6944 | |
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| 1.6709 | 9.0918 | 300 | 1.6713 | |
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| 1.6989 | 10.6119 | 350 | 1.6588 | |
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| 1.6858 | 12.1224 | 400 | 1.6524 | |
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| 1.6844 | 13.6424 | 450 | 1.6502 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.53.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.2 |
