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README.md
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---
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library_name: peft
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license: bigcode-openrail-m
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base_model: bigcode/starcoderbase-1b
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tags:
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- base_model:adapter:bigcode/starcoderbase-1b
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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: 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 [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3521
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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: 12
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- eval_batch_size: 12
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- seed: 42
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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: 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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| 5.1602 | 0.05 | 100 | 3.3944 |
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| 4.9152 | 0.1 | 200 | 3.3911 |
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| 4.864 | 0.15 | 300 | 3.3850 |
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| 5.0538 | 0.2 | 400 | 3.3808 |
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| 5.0474 | 0.25 | 500 | 3.3748 |
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| 5.7174 | 0.3 | 600 | 3.3669 |
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| 4.8981 | 0.35 | 700 | 3.3714 |
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| 5.3039 | 0.4 | 800 | 3.3702 |
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| 5.5544 | 0.45 | 900 | 3.3721 |
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| 5.4907 | 0.5 | 1000 | 3.3747 |
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| 2.8972 | 0.55 | 1100 | 3.3880 |
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| 4.6895 | 0.6 | 1200 | 3.3689 |
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| 4.4027 | 0.65 | 1300 | 3.3708 |
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| 5.6217 | 0.7 | 1400 | 3.3690 |
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| 5.0912 | 0.75 | 1500 | 3.3651 |
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| 5.3595 | 0.8 | 1600 | 3.3628 |
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| 4.3603 | 0.85 | 1700 | 3.3541 |
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| 4.7773 | 0.9 | 1800 | 3.3548 |
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| 3.3149 | 0.95 | 1900 | 3.3524 |
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| 4.9032 | 1.0 | 2000 | 3.3521 |
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### Framework versions
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- PEFT 0.18.0
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- Transformers 4.57.3
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- Pytorch 2.9.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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