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---
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder2-15b
model-index:
- name: peft-lora-starcoder2-15b-huggingface-copilot
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# peft-lora-starcoder2-15b-huggingface-copilot
This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4901
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7148 | 0.05 | 100 | 0.6076 |
| 0.622 | 0.1 | 200 | 0.5916 |
| 0.6237 | 0.15 | 300 | 0.5772 |
| 0.63 | 0.2 | 400 | 0.5661 |
| 0.5475 | 0.25 | 500 | 0.5564 |
| 0.5589 | 0.3 | 600 | 0.5457 |
| 0.5498 | 0.35 | 700 | 0.5392 |
| 0.5866 | 0.4 | 800 | 0.5285 |
| 0.578 | 0.45 | 900 | 0.5210 |
| 0.5053 | 0.5 | 1000 | 0.5152 |
| 0.5209 | 0.55 | 1100 | 0.5111 |
| 0.4912 | 0.6 | 1200 | 0.5057 |
| 0.5082 | 0.65 | 1300 | 0.5017 |
| 0.463 | 0.7 | 1400 | 0.4981 |
| 0.426 | 0.75 | 1500 | 0.4941 |
| 0.4335 | 0.8 | 1600 | 0.4922 |
| 0.4788 | 0.85 | 1700 | 0.4912 |
| 0.3878 | 0.9 | 1800 | 0.4911 |
| 0.4371 | 0.95 | 1900 | 0.4902 |
| 0.4374 | 1.0 | 2000 | 0.4901 |
### Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2 |