| | --- |
| | license: bigcode-openrail-m |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: bigcode/starcoder |
| | model-index: |
| | - name: starcoder-c2py-testprogram |
| | 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-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 |
| | |
