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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: starcoder-peft-airscript |
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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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# starcoder-peft-airscript |
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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: 0.7299 |
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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: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 20 |
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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: 1600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.1981 | 0.0625 | 100 | 1.1007 | |
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| 0.9021 | 0.125 | 200 | 0.8910 | |
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| 0.7494 | 0.1875 | 300 | 0.8009 | |
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| 0.6504 | 0.25 | 400 | 0.7542 | |
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| 0.5704 | 0.3125 | 500 | 0.7279 | |
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| 0.5081 | 0.375 | 600 | 0.7175 | |
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| 0.4696 | 0.4375 | 700 | 0.7109 | |
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| 0.4245 | 0.5 | 800 | 0.7151 | |
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| 0.3962 | 0.5625 | 900 | 0.7135 | |
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| 0.3686 | 0.625 | 1000 | 0.7156 | |
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| 0.3514 | 0.6875 | 1100 | 0.7244 | |
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| 0.3418 | 0.75 | 1200 | 0.7268 | |
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| 0.3317 | 0.8125 | 1300 | 0.7302 | |
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| 0.3228 | 0.875 | 1400 | 0.7301 | |
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| 0.3211 | 0.9375 | 1500 | 0.7304 | |
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| 0.3188 | 1.0 | 1600 | 0.7299 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.5.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
