| | --- |
| | license: bigcode-openrail-m |
| | base_model: bigcode/starcoder |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: starcoder-cpp2py-newprogram2 |
| | 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-cpp2py-newprogram2 |
| |
|
| | 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: 0.1091 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - 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: 15 |
| | - training_steps: 150 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.1133 | 0.17 | 25 | 0.1095 | |
| | | 0.1202 | 0.33 | 50 | 0.1094 | |
| | | 0.1165 | 0.5 | 75 | 0.1093 | |
| | | 0.1144 | 0.67 | 100 | 0.1092 | |
| | | 0.1152 | 0.83 | 125 | 0.1092 | |
| | | 0.113 | 1.03 | 150 | 0.1091 | |
| |
|
| |
|
| | ### 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 |
| |
|
