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README.md
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---
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library_name: peft
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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B-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-1b-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-1b-offense
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5168
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- Accuracy: 0.7581
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- F1: 0.4721
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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 | 0.6670 | 0.6884 | 0.3163 |
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| No log | 1.9275 | 200 | 0.5841 | 0.7221 | 0.3887 |
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| No log | 2.8889 | 300 | 0.5471 | 0.7360 | 0.4782 |
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| No log | 3.8502 | 400 | 0.5380 | 0.7442 | 0.4416 |
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| 2.5382 | 4.8116 | 500 | 0.5300 | 0.7465 | 0.4834 |
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| 2.5382 | 5.7729 | 600 | 0.5297 | 0.7488 | 0.4462 |
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| 2.5382 | 6.7343 | 700 | 0.5198 | 0.75 | 0.4743 |
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| 2.5382 | 7.6957 | 800 | 0.5160 | 0.7488 | 0.4732 |
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| 2.5382 | 8.6570 | 900 | 0.5172 | 0.7570 | 0.4814 |
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| 2.0495 | 9.6184 | 1000 | 0.5168 | 0.7581 | 0.4721 |
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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
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