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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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model-index: |
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- name: llama-fine-tuned |
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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-fine-tuned |
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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: 0.3503 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 1 |
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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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| 1.6035 | 0.0357 | 50 | 0.9702 | |
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| 0.6392 | 0.0714 | 100 | 0.6272 | |
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| 0.5979 | 0.1071 | 150 | 0.5398 | |
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| 0.5629 | 0.1429 | 200 | 0.5044 | |
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| 0.4761 | 0.1786 | 250 | 0.4689 | |
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| 0.4998 | 0.2143 | 300 | 0.4494 | |
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| 0.4363 | 0.25 | 350 | 0.4524 | |
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| 0.4433 | 0.2857 | 400 | 0.4322 | |
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| 0.4882 | 0.3214 | 450 | 0.4135 | |
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| 0.4316 | 0.3571 | 500 | 0.4017 | |
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| 0.389 | 0.3929 | 550 | 0.3951 | |
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| 0.4041 | 0.4286 | 600 | 0.3908 | |
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| 0.456 | 0.4643 | 650 | 0.3860 | |
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| 0.3872 | 0.5 | 700 | 0.3788 | |
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| 0.3962 | 0.5357 | 750 | 0.3792 | |
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| 0.3524 | 0.5714 | 800 | 0.3762 | |
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| 0.3409 | 0.6071 | 850 | 0.3700 | |
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| 0.421 | 0.6429 | 900 | 0.3746 | |
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| 0.349 | 0.6786 | 950 | 0.3634 | |
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| 0.4194 | 0.7143 | 1000 | 0.3665 | |
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| 0.3621 | 0.75 | 1050 | 0.3607 | |
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| 0.3663 | 0.7857 | 1100 | 0.3603 | |
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| 0.3434 | 0.8214 | 1150 | 0.3592 | |
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| 0.3609 | 0.8571 | 1200 | 0.3553 | |
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| 0.342 | 0.8929 | 1250 | 0.3524 | |
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| 0.3889 | 0.9286 | 1300 | 0.3513 | |
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| 0.3604 | 0.9643 | 1350 | 0.3508 | |
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| 0.354 | 1.0 | 1400 | 0.3503 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Tokenizers 0.21.0 |
