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--- |
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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/starcoder2-15b |
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model-index: |
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- name: peft-lora-starcoder2-15b-unity-copilot |
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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-lora-starcoder2-15b-unity-copilot |
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This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2024 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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_ratio: 0.1 |
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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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| 0.1273 | 0.05 | 100 | 0.3306 | |
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| 0.3286 | 0.1 | 200 | 0.2493 | |
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| 0.2192 | 0.15 | 300 | 0.2495 | |
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| 0.2075 | 0.2 | 400 | 0.2442 | |
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| 0.2335 | 0.25 | 500 | 0.2409 | |
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| 0.2676 | 0.3 | 600 | 0.2447 | |
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| 0.2175 | 0.35 | 700 | 0.2370 | |
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| 0.2681 | 0.4 | 800 | 0.2334 | |
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| 0.2817 | 0.45 | 900 | 0.2160 | |
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| 0.2387 | 0.5 | 1000 | 0.2111 | |
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| 0.2211 | 0.55 | 1100 | 0.2145 | |
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| 0.1398 | 0.6 | 1200 | 0.2142 | |
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| 0.1735 | 0.65 | 1300 | 0.2141 | |
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| 0.3307 | 0.7 | 1400 | 0.2096 | |
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| 0.3404 | 0.75 | 1500 | 0.2068 | |
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| 0.2454 | 0.8 | 1600 | 0.2048 | |
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| 0.1532 | 0.85 | 1700 | 0.2032 | |
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| 0.3629 | 0.9 | 1800 | 0.2026 | |
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| 0.3118 | 0.95 | 1900 | 0.2024 | |
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| 0.2489 | 1.0 | 2000 | 0.2024 | |
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### Framework versions |
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- PEFT 0.9.1.dev0 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
