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--- |
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library_name: transformers |
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license: other |
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base_model: TinyLlama/TinyLlama-1.1B-step-50K-105b |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: tinyllama_sft_full |
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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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# tinyllama_sft_full |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-step-50K-105b](https://huggingface.co/TinyLlama/TinyLlama-1.1B-step-50K-105b) on the jailbreak_attack_sft_data_12197 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0074 |
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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: 0.0001 |
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- train_batch_size: 14 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 56 |
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- total_eval_batch_size: 40 |
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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: cosine |
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- num_epochs: 8.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0109 | 1.8692 | 400 | 0.0107 | |
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| 0.0068 | 3.7383 | 800 | 0.0079 | |
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| 0.0059 | 5.6075 | 1200 | 0.0075 | |
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| 0.0053 | 7.4766 | 1600 | 0.0074 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.21.0 |
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