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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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- 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 [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: 0.9646
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use OptimizerNames.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: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.153 | 0.1 | 100 | 0.9261 |
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| 1.1271 | 0.2 | 200 | 0.9381 |
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| 0.906 | 0.3 | 300 | 0.9582 |
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| 1.028 | 0.4 | 400 | 0.9719 |
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| 1.0547 | 0.5 | 500 | 0.9610 |
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| 1.0747 | 0.6 | 600 | 0.9606 |
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| 0.7872 | 0.7 | 700 | 0.9623 |
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| 0.7992 | 0.8 | 800 | 0.9618 |
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| 0.872 | 0.9 | 900 | 0.9631 |
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| 1.0033 | 1.0 | 1000 | 0.9646 |
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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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