metadata
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-qlora-r
results: []
peft-starcoder-qlora-r
This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1974
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0603 | 0.05 | 100 | 1.1678 |
| 2.2372 | 0.1 | 200 | 1.1616 |
| 1.0571 | 0.15 | 300 | 1.1632 |
| 1.2376 | 0.2 | 400 | 1.1639 |
| 1.1043 | 0.25 | 500 | 1.1664 |
| 1.0032 | 0.3 | 600 | 1.1703 |
| 1.168 | 0.35 | 700 | 1.1713 |
| 0.9762 | 0.4 | 800 | 1.1749 |
| 2.2509 | 0.45 | 900 | 1.1789 |
| 1.0519 | 0.5 | 1000 | 1.1873 |
| 2.2067 | 0.55 | 1100 | 1.1825 |
| 1.0048 | 0.6 | 1200 | 1.1884 |
| 1.9986 | 0.65 | 1300 | 1.1865 |
| 1.0117 | 0.7 | 1400 | 1.1950 |
| 1.0123 | 0.75 | 1500 | 1.1916 |
| 2.1783 | 0.8 | 1600 | 1.1949 |
| 0.9197 | 0.85 | 1700 | 1.1943 |
| 2.1317 | 0.9 | 1800 | 1.1942 |
| 0.8868 | 0.95 | 1900 | 1.1985 |
| 1.008 | 1.0 | 2000 | 1.1974 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0