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--- |
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library_name: transformers |
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license: llama3.2 |
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base_model: Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- openwebtext |
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model-index: |
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- name: Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv |
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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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# Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv |
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This model is a fine-tuned version of [Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25](https://huggingface.co/Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25) on the openwebtext dataset. |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are: |
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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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- training_steps: 2500 |
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### Training results |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1.post303 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.4 |
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