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--- |
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base_model: meta-llama/Llama-3.2-3B-Instruct |
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library_name: peft |
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license: llama3.2 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama3.2-3b-medium |
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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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# llama3.2-3b-medium |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6810 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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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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| 2.0835 | 0.5198 | 100 | 1.9059 | |
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| 1.8694 | 1.0396 | 200 | 1.8444 | |
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| 1.7751 | 1.5595 | 300 | 1.8023 | |
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| 1.7621 | 2.0793 | 400 | 1.7662 | |
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| 1.6951 | 2.5991 | 500 | 1.7426 | |
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| 1.6917 | 3.1189 | 600 | 1.7270 | |
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| 1.6354 | 3.6387 | 700 | 1.7141 | |
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| 1.6231 | 4.1585 | 800 | 1.7076 | |
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| 1.5944 | 4.6784 | 900 | 1.6972 | |
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| 1.5959 | 5.1982 | 1000 | 1.6925 | |
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| 1.5429 | 5.7180 | 1100 | 1.6878 | |
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| 1.5584 | 6.2378 | 1200 | 1.6880 | |
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| 1.5347 | 6.7576 | 1300 | 1.6839 | |
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| 1.5536 | 7.2775 | 1400 | 1.6818 | |
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| 1.5061 | 7.7973 | 1500 | 1.6823 | |
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| 1.5282 | 8.3171 | 1600 | 1.6814 | |
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| 1.5187 | 8.8369 | 1700 | 1.6809 | |
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| 1.5232 | 9.3567 | 1800 | 1.6809 | |
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| 1.5131 | 9.8765 | 1900 | 1.6810 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.45.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.1 |
