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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: peft-starcoder-lora-a100
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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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# peft-starcoder-lora-a100
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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: 1.4134
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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: 0.0005
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- train_batch_size: 16
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- eval_batch_size: 16
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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: cosine
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- lr_scheduler_warmup_steps: 30
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- training_steps: 2000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.4261 | 0.05 | 100 | 1.3509 |
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| 1.3393 | 0.1 | 200 | 1.3586 |
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| 1.5034 | 0.15 | 300 | 1.3774 |
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| 1.0945 | 0.2 | 400 | 1.3768 |
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| 1.3357 | 0.25 | 500 | 1.3915 |
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| 1.3062 | 0.3 | 600 | 1.3792 |
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| 1.2152 | 0.35 | 700 | 1.3873 |
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| 1.269 | 0.4 | 800 | 1.3911 |
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| 1.1954 | 0.45 | 900 | 1.3966 |
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| 1.1436 | 0.5 | 1000 | 1.3949 |
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| 0.9746 | 0.55 | 1100 | 1.3982 |
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| 1.2696 | 0.6 | 1200 | 1.4043 |
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| 1.0225 | 0.65 | 1300 | 1.4104 |
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| 1.1184 | 0.7 | 1400 | 1.4065 |
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| 1.212 | 0.75 | 1500 | 1.4089 |
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| 1.3207 | 0.8 | 1600 | 1.4102 |
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| 1.0669 | 0.85 | 1700 | 1.4143 |
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| 1.1501 | 0.9 | 1800 | 1.4133 |
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| 1.2002 | 0.95 | 1900 | 1.4128 |
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| 1.0119 | 1.0 | 2000 | 1.4134 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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