|
--- |
|
license: bigcode-openrail-m |
|
base_model: bigcode/starcoder |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: starcoder-c2py-snippet1 |
|
results: [] |
|
library_name: peft |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# starcoder-c2py-snippet1 |
|
|
|
This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2014 |
|
|
|
## 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: 9e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- training_steps: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 8.2651 | 0.1 | 10 | 4.2201 | |
|
| 0.9761 | 0.2 | 20 | 0.5205 | |
|
| 0.3183 | 0.3 | 30 | 0.2766 | |
|
| 0.1887 | 1.04 | 40 | 0.2384 | |
|
| 0.1867 | 1.14 | 50 | 0.2171 | |
|
| 0.1732 | 1.24 | 60 | 0.2072 | |
|
| 0.156 | 1.34 | 70 | 0.2034 | |
|
| 0.1415 | 2.08 | 80 | 0.2022 | |
|
| 0.1614 | 2.17 | 90 | 0.2016 | |
|
| 0.1568 | 2.27 | 100 | 0.2014 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.5.0.dev0 |
|
- PEFT 0.5.0.dev0 |
|
- Transformers 4.32.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
