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aalst/starcoder2-3b-peft-lora
starcoder2-3b-peft-lora is a machine learning model from aalst. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as bigcode-openrail-m.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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22% of all-time downloads
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.safetensors29.5 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5348 | 0.05 | 100 | 0.9196 |
| 0.8854 | 0.1 | 200 | 0.8079 |
| 0.6684 | 0.15 | 300 | 0.7977 |
| 0.7444 | 0.2 | 400 | 0.7962 |
| 0.2232 | 0.25 | 500 | 0.8324 |
| 0.4756 | 0.3 | 600 | 0.7965 |
| 0.4507 | 0.35 | 700 | 0.7983 |
| 0.747 | 0.4 | 800 | 0.7863 |
| 0.4285 | 0.45 | 900 | 0.7854 |
| 0.3905 | 0.5 | 1000 | 0.8041 |
| 0.7737 | 0.55 | 1100 | 0.7641 |
| 0.5301 | 0.6 | 1200 | 0.7599 |
| 0.6514 | 0.65 | 1300 | 0.7561 |
| 0.1931 | 0.7 | 1400 | 0.7659 |
| 0.4201 | 0.75 | 1500 | 0.7567 |
| 0.4191 | 0.8 | 1600 | 0.7566 |
| 0.6998 | 0.85 | 1700 | 0.7530 |
| 0.4025 | 0.9 | 1800 | 0.7528 |
| 0.3656 | 0.95 | 1900 | 0.7605 |
| 0.6816 | 1.0 | 2000 | 0.7576 |