File size: 1,207 Bytes
45ca0e8 72558e0 4dca11e 72558e0 4dca11e d15f16b 45ca0e8 72558e0 45ca0e8 4dca11e 45ca0e8 4dca11e 72558e0 4dca11e 72558e0 4dca11e 72558e0 4dca11e 72558e0 4dca11e 72558e0 4dca11e 72558e0 4dca11e 72558e0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
---
library_name: peft
tags:
- code
- instruct
- mistral
datasets:
- cognitivecomputations/dolphin-coder
base_model: tiiuae/falcon-7b
license: apache-2.0
---
### Finetuning Overview:
**Model Used:** tiiuae/falcon-7b
**Dataset:** cognitivecomputations/dolphin-coder
#### Dataset Insights:
[Dolphin-Coder](https://huggingface.co/datasets/cognitivecomputations/dolphin-coder) Dolphin-Coder dataset – a high-quality collection of 100,000+ coding questions and responses. It's perfect for supervised fine-tuning (SFT), and teaching language models to improve on coding-based tasks.
#### Finetuning Details:
With the utilization of [MonsterAPI](https://monsterapi.ai)'s [no-code LLM finetuner](https://monsterapi.ai/finetuning), this finetuning:
- Was achieved with great cost-effectiveness.
- Completed in a total duration of 14hr 10mins for 1 epochs using an A6000 48GB GPU.
- Costed `$28.48` for the entire 1 epoch.
#### Hyperparameters & Additional Details:
- **Epochs:** 1
- **Cost Per Epoch:** $31.51
- **Model Path:** tiiuae/falcon-7b
- **Learning Rate:** 0.0002
- **Data Split:** 100% train
- **Gradient Accumulation Steps:** 64
- **lora r:** 64
- **lora alpha:** 16
---
license: apache-2.0 |