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--- |
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library_name: peft |
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license: llama3.1 |
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base_model: meta-llama/Llama-3.1-8B-Instruct |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: llama-7b-offense |
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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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# llama-7b-offense |
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5788 |
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- Accuracy: 0.7709 |
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- F1: 0.5386 |
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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: 0.0002 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Use 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: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| No log | 0.9662 | 100 | 0.7477 | 0.6895 | 0.3890 | |
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| No log | 1.9275 | 200 | 0.6635 | 0.7186 | 0.4739 | |
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| No log | 2.8889 | 300 | 0.6167 | 0.7430 | 0.5328 | |
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| No log | 3.8502 | 400 | 0.6212 | 0.7384 | 0.5399 | |
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| 2.5728 | 4.8116 | 500 | 0.5934 | 0.7558 | 0.5532 | |
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| 2.5728 | 5.7729 | 600 | 0.5906 | 0.7605 | 0.5231 | |
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| 2.5728 | 6.7343 | 700 | 0.5838 | 0.7698 | 0.505 | |
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| 2.5728 | 7.6957 | 800 | 0.5780 | 0.7605 | 0.5381 | |
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| 2.5728 | 8.6570 | 900 | 0.5799 | 0.7686 | 0.5340 | |
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| 1.9058 | 9.6184 | 1000 | 0.5788 | 0.7709 | 0.5386 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
