|
--- |
|
license: bigcode-openrail-m |
|
base_model: bigcode/starcoder |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: starcoder-c2py-program1 |
|
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. --> |
|
|
|
# starcoder-c2py-program1 |
|
|
|
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: 0.1286 |
|
|
|
## 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: 5 |
|
- training_steps: 50 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.1633 | 0.1 | 5 | 0.1505 | |
|
| 0.1413 | 0.2 | 10 | 0.1443 | |
|
| 0.1221 | 0.3 | 15 | 0.1401 | |
|
| 0.14 | 0.4 | 20 | 0.1369 | |
|
| 0.1337 | 0.5 | 25 | 0.1319 | |
|
| 0.1271 | 0.6 | 30 | 0.1298 | |
|
| 0.1412 | 0.7 | 35 | 0.1289 | |
|
| 0.0901 | 0.8 | 40 | 0.1287 | |
|
| 0.1158 | 0.9 | 45 | 0.1286 | |
|
| 0.1313 | 1.0 | 50 | 0.1286 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|