metadata
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- base_model:adapter:bigcode/starcoderbase-1b
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: peft-starcoder-lora-a100
results: []
peft-starcoder-lora-a100
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: 3.3521
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|
| 5.1602 | 0.05 | 100 | 3.3944 |
| 4.9152 | 0.1 | 200 | 3.3911 |
| 4.864 | 0.15 | 300 | 3.3850 |
| 5.0538 | 0.2 | 400 | 3.3808 |
| 5.0474 | 0.25 | 500 | 3.3748 |
| 5.7174 | 0.3 | 600 | 3.3669 |
| 4.8981 | 0.35 | 700 | 3.3714 |
| 5.3039 | 0.4 | 800 | 3.3702 |
| 5.5544 | 0.45 | 900 | 3.3721 |
| 5.4907 | 0.5 | 1000 | 3.3747 |
| 2.8972 | 0.55 | 1100 | 3.3880 |
| 4.6895 | 0.6 | 1200 | 3.3689 |
| 4.4027 | 0.65 | 1300 | 3.3708 |
| 5.6217 | 0.7 | 1400 | 3.3690 |
| 5.0912 | 0.75 | 1500 | 3.3651 |
| 5.3595 | 0.8 | 1600 | 3.3628 |
| 4.3603 | 0.85 | 1700 | 3.3541 |
| 4.7773 | 0.9 | 1800 | 3.3548 |
| 3.3149 | 0.95 | 1900 | 3.3524 |
| 4.9032 | 1.0 | 2000 | 3.3521 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1