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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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- base_model:adapter:meta-llama/Llama-3.2-1B-Instruct |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: finetune |
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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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# finetune |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3303 |
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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: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0733 | 0.2 | 5 | 0.8342 | |
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| 0.5412 | 0.4 | 10 | 0.5452 | |
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| 0.482 | 0.6 | 15 | 0.4806 | |
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| 0.372 | 0.8 | 20 | 0.4173 | |
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| 0.3336 | 1.0 | 25 | 0.3932 | |
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| 0.3449 | 1.2 | 30 | 0.3777 | |
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| 0.3247 | 1.4 | 35 | 0.3705 | |
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| 0.3711 | 1.6 | 40 | 0.3568 | |
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| 0.2638 | 1.8 | 45 | 0.3480 | |
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| 0.2707 | 2.0 | 50 | 0.3436 | |
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| 0.2652 | 2.2 | 55 | 0.3407 | |
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| 0.2703 | 2.4 | 60 | 0.3369 | |
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| 0.2841 | 2.6 | 65 | 0.3350 | |
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| 0.2334 | 2.8 | 70 | 0.3302 | |
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| 0.2854 | 3.0 | 75 | 0.3303 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
