metadata
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-lora-a100-adalflow
results: []
peft-starcoder-lora-a100-adalflow
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: 2.1664
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 |
|---|---|---|---|
| 0.6214 | 0.05 | 100 | 1.2932 |
| 0.2305 | 0.1 | 200 | 1.5985 |
| 0.1187 | 0.15 | 300 | 1.7457 |
| 0.0805 | 0.2 | 400 | 1.8529 |
| 0.0674 | 0.25 | 500 | 1.9213 |
| 0.0568 | 0.3 | 600 | 1.9515 |
| 0.0513 | 0.35 | 700 | 1.9906 |
| 0.0482 | 0.4 | 800 | 2.0139 |
| 0.0442 | 0.45 | 900 | 2.0442 |
| 0.0429 | 0.5 | 1000 | 2.0661 |
| 0.039 | 0.55 | 1100 | 2.1006 |
| 0.0372 | 0.6 | 1200 | 2.1061 |
| 0.0362 | 0.65 | 1300 | 2.1219 |
| 0.0354 | 0.7 | 1400 | 2.1374 |
| 0.0331 | 0.75 | 1500 | 2.1450 |
| 0.0313 | 0.8 | 1600 | 2.1494 |
| 0.0321 | 0.85 | 1700 | 2.1612 |
| 0.0321 | 0.9 | 1800 | 2.1665 |
| 0.0327 | 0.95 | 1900 | 2.1652 |
| 0.0325 | 1.0 | 2000 | 2.1664 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0