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README.md
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---
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license: bigcode-openrail-m
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: bigcode/starcoder2-3b
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model-index:
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- name: starcoder2-3b-peft-lora
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hvl-ml/huggingface/runs/71217l2g)
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# starcoder2-3b-peft-lora
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This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7576
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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| 0.5348 | 0.05 | 100 | 0.9196 |
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| 0.8854 | 0.1 | 200 | 0.8079 |
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| 0.6684 | 0.15 | 300 | 0.7977 |
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| 0.7444 | 0.2 | 400 | 0.7962 |
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| 0.2232 | 0.25 | 500 | 0.8324 |
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| 0.4756 | 0.3 | 600 | 0.7965 |
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| 0.4507 | 0.35 | 700 | 0.7983 |
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| 0.747 | 0.4 | 800 | 0.7863 |
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| 0.4285 | 0.45 | 900 | 0.7854 |
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| 0.3905 | 0.5 | 1000 | 0.8041 |
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| 0.7737 | 0.55 | 1100 | 0.7641 |
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| 0.5301 | 0.6 | 1200 | 0.7599 |
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| 0.6514 | 0.65 | 1300 | 0.7561 |
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| 0.1931 | 0.7 | 1400 | 0.7659 |
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| 0.4201 | 0.75 | 1500 | 0.7567 |
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| 0.4191 | 0.8 | 1600 | 0.7566 |
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| 0.6998 | 0.85 | 1700 | 0.7530 |
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| 0.4025 | 0.9 | 1800 | 0.7528 |
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| 0.3656 | 0.95 | 1900 | 0.7605 |
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| 0.6816 | 1.0 | 2000 | 0.7576 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.3.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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