metadata
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder2-3b
model-index:
- name: starcoder2-3b-peft-lora
results: []
starcoder2-3b-peft-lora
This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7576
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5348 | 0.05 | 100 | 0.9196 |
| 0.8854 | 0.1 | 200 | 0.8079 |
| 0.6684 | 0.15 | 300 | 0.7977 |
| 0.7444 | 0.2 | 400 | 0.7962 |
| 0.2232 | 0.25 | 500 | 0.8324 |
| 0.4756 | 0.3 | 600 | 0.7965 |
| 0.4507 | 0.35 | 700 | 0.7983 |
| 0.747 | 0.4 | 800 | 0.7863 |
| 0.4285 | 0.45 | 900 | 0.7854 |
| 0.3905 | 0.5 | 1000 | 0.8041 |
| 0.7737 | 0.55 | 1100 | 0.7641 |
| 0.5301 | 0.6 | 1200 | 0.7599 |
| 0.6514 | 0.65 | 1300 | 0.7561 |
| 0.1931 | 0.7 | 1400 | 0.7659 |
| 0.4201 | 0.75 | 1500 | 0.7567 |
| 0.4191 | 0.8 | 1600 | 0.7566 |
| 0.6998 | 0.85 | 1700 | 0.7530 |
| 0.4025 | 0.9 | 1800 | 0.7528 |
| 0.3656 | 0.95 | 1900 | 0.7605 |
| 0.6816 | 1.0 | 2000 | 0.7576 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1