|
--- |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: bigcode/starcoder2-15b |
|
model-index: |
|
- name: peft-lora-starcoder2-15b-flutter-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-flutter-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: 0.3895 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.9837 | 0.05 | 100 | 0.4444 | |
|
| 0.213 | 0.1 | 200 | 0.4486 | |
|
| 0.4039 | 0.15 | 300 | 0.4082 | |
|
| 0.3069 | 0.2 | 400 | 0.4030 | |
|
| 0.3163 | 0.25 | 500 | 0.4044 | |
|
| 0.7574 | 0.3 | 600 | 0.4008 | |
|
| 0.4859 | 0.35 | 700 | 0.3990 | |
|
| 0.5048 | 0.4 | 800 | 0.3984 | |
|
| 0.4226 | 0.45 | 900 | 0.3962 | |
|
| 3.584 | 0.5 | 1000 | 0.3959 | |
|
| 0.624 | 0.55 | 1100 | 0.3958 | |
|
| 0.2663 | 0.6 | 1200 | 0.3954 | |
|
| 0.496 | 0.65 | 1300 | 0.3947 | |
|
| 0.6882 | 0.7 | 1400 | 0.3950 | |
|
| 0.4147 | 0.75 | 1500 | 0.3937 | |
|
| 0.5237 | 0.8 | 1600 | 0.3922 | |
|
| 0.626 | 0.85 | 1700 | 0.3909 | |
|
| 0.6625 | 0.9 | 1800 | 0.3897 | |
|
| 0.6163 | 0.95 | 1900 | 0.3896 | |
|
| 0.5014 | 1.0 | 2000 | 0.3895 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.9.1.dev0 |
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.2.1 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
