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peft-lora-CodeLlama-13b-unity-copilot
KaQyn/peft-lora-CodeLlama-13b-unity-copilot
peft-lora-CodeLlama-13b-unity-copilot is a machine learning model from KaQyn. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Mar 25, 2024
- Updated
- Apr 3, 2024
- SHA
- 3846e330
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
peft-lora-CodeLlama-13b-unity-copilot
This model is a fine-tuned version of codellama/CodeLlama-13b-Instruct-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1825
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1196 | 0.05 | 100 | 0.3165 |
| 0.2451 | 0.1 | 200 | 0.2333 |
| 0.2358 | 0.15 | 300 | 0.2338 |
| 0.1617 | 0.2 | 400 | 0.2239 |
| 0.1839 | 0.25 | 500 | 0.2154 |
| 0.1845 | 0.3 | 600 | 0.2169 |
| 0.2536 | 0.35 | 700 | 0.2185 |
| 0.1649 | 0.4 | 800 | 0.2153 |
| 0.2767 | 0.45 | 900 | 0.2056 |
| 0.1939 | 0.5 | 1000 | 0.2120 |
| 0.1093 | 0.55 | 1100 | 0.1975 |
| 0.1852 | 0.6 | 1200 | 0.1912 |
| 0.1077 | 0.65 | 1300 | 0.1930 |
| 0.1129 | 0.7 | 1400 | 0.1959 |
| 0.1219 | 0.75 | 1500 | 0.1958 |
| 0.3024 | 0.8 | 1600 | 0.1882 |
| 0.2656 | 0.85 | 1700 | 0.1872 |
| 0.1666 | 0.9 | 1800 | 0.1849 |
| 0.1553 | 0.95 | 1900 | 0.1827 |
| 0.1477 | 1.0 | 2000 | 0.1825 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- Created
- Mar 25, 2024
- Updated
- Apr 3, 2024