metadata
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-13b-Instruct-hf
model-index:
- name: peft-lora-CodeLlama-13b-flutter-copilot
results: []
peft-lora-CodeLlama-13b-flutter-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: 0.3620
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 |
|---|---|---|---|
| 0.7824 | 0.05 | 100 | 0.4186 |
| 0.3055 | 0.1 | 200 | 0.4164 |
| 0.4455 | 0.15 | 300 | 0.4134 |
| 0.3148 | 0.2 | 400 | 0.3762 |
| 0.2942 | 0.25 | 500 | 0.3780 |
| 0.8817 | 0.3 | 600 | 0.3760 |
| 0.4958 | 0.35 | 700 | 0.3738 |
| 0.4388 | 0.4 | 800 | 0.3710 |
| 0.3605 | 0.45 | 900 | 0.3698 |
| 0.2862 | 0.5 | 1000 | 0.3673 |
| 3.4798 | 0.55 | 1100 | 0.3687 |
| 3.3077 | 0.6 | 1200 | 0.3703 |
| 0.4847 | 0.65 | 1300 | 0.3666 |
| 0.3593 | 0.7 | 1400 | 0.3662 |
| 0.5983 | 0.75 | 1500 | 0.3654 |
| 0.6138 | 0.8 | 1600 | 0.3638 |
| 0.403 | 0.85 | 1700 | 0.3635 |
| 0.4199 | 0.9 | 1800 | 0.3632 |
| 0.3526 | 0.95 | 1900 | 0.3621 |
| 0.492 | 1.0 | 2000 | 0.3620 |
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