|
--- |
|
license: bigcode-openrail-m |
|
base_model: bigcode/starcoder |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: starcoder-c2py-testprogram |
|
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-testprogram |
|
|
|
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: 0.1295 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.1742 | 0.05 | 5 | 0.1665 | |
|
| 0.1587 | 0.1 | 10 | 0.1619 | |
|
| 0.1361 | 0.15 | 15 | 0.1568 | |
|
| 0.1516 | 0.2 | 20 | 0.1486 | |
|
| 0.141 | 0.25 | 25 | 0.1429 | |
|
| 0.1292 | 0.3 | 30 | 0.1405 | |
|
| 0.1461 | 0.35 | 35 | 0.1374 | |
|
| 0.09 | 0.4 | 40 | 0.1351 | |
|
| 0.1149 | 0.45 | 45 | 0.1332 | |
|
| 0.1296 | 0.5 | 50 | 0.1325 | |
|
| 0.1069 | 1.05 | 55 | 0.1334 | |
|
| 0.1046 | 1.1 | 60 | 0.1320 | |
|
| 0.0969 | 1.15 | 65 | 0.1308 | |
|
| 0.1141 | 1.2 | 70 | 0.1304 | |
|
| 0.1182 | 1.25 | 75 | 0.1300 | |
|
| 0.1112 | 1.3 | 80 | 0.1297 | |
|
| 0.1278 | 1.35 | 85 | 0.1295 | |
|
| 0.0794 | 1.4 | 90 | 0.1295 | |
|
| 0.1067 | 1.45 | 95 | 0.1295 | |
|
| 0.1164 | 1.5 | 100 | 0.1295 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.5.0.dev0 |
|
- PEFT 0.5.0.dev0 |
|
- PEFT 0.5.0.dev0 |
|
- PEFT 0.5.0.dev0 |
|
- PEFT 0.5.0.dev0 |
|
- PEFT 0.5.0.dev0 |
|
- 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 |
|
|