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README.md
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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-3.2-1B-Instruct-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-3.2-1B-Instruct-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: 2.2766
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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: 0.01
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_BNB 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: 2
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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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| No log | 0 | 0 | 12.3951 |
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| No log | 0.2004 | 27 | 5.5223 |
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| No log | 0.4007 | 54 | 3.8031 |
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| No log | 0.6011 | 81 | 3.1578 |
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| No log | 0.8015 | 108 | 2.8569 |
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| No log | 1.0 | 135 | 2.6538 |
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| No log | 1.2004 | 162 | 2.4921 |
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| No log | 1.4007 | 189 | 2.3860 |
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| No log | 1.6011 | 216 | 2.3240 |
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| No log | 1.8015 | 243 | 2.2894 |
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| No log | 2.0 | 270 | 2.2766 |
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### Framework versions
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- PEFT 0.15.2
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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