| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - code_search_net |
| base_model: petals-team/falcon-rw-1b |
| model-index: |
| - name: falcon-code-generation |
| 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. --> |
|
|
| # falcon-code-generation |
|
|
| This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw-1b) on the code_search_net dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0068 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.03 |
| - training_steps: 320 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.231 | 0.01 | 20 | 1.2339 | |
| | 1.2932 | 0.02 | 40 | 1.1486 | |
| | 1.231 | 0.03 | 60 | 1.1240 | |
| | 1.0344 | 0.04 | 80 | 1.0872 | |
| | 1.3396 | 0.04 | 100 | 1.0973 | |
| | 0.9727 | 0.05 | 120 | 1.0608 | |
| | 1.1138 | 0.06 | 140 | 1.0520 | |
| | 1.1591 | 0.07 | 160 | 1.0442 | |
| | 0.9822 | 0.08 | 180 | 1.0286 | |
| | 1.1891 | 0.09 | 200 | 1.0345 | |
| | 1.0183 | 0.1 | 220 | 1.0194 | |
| | 1.0012 | 0.11 | 240 | 1.0142 | |
| | 1.1396 | 0.12 | 260 | 1.0116 | |
| | 1.0058 | 0.12 | 280 | 1.0074 | |
| | 1.1884 | 0.13 | 300 | 1.0072 | |
| | 0.9587 | 0.14 | 320 | 1.0068 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
