| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: petals-team/falcon-rw-1b |
| | datasets: |
| | - code_search_net |
| | model-index: |
| | - name: falcon-1b-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-1b-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: 0.9849 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.2737 | 0.1 | 20 | 1.1782 | |
| | | 1.2501 | 0.2 | 40 | 1.0921 | |
| | | 1.1228 | 0.3 | 60 | 1.0788 | |
| | | 1.0377 | 0.4 | 80 | 1.0385 | |
| | | 1.11 | 0.5 | 100 | 1.0663 | |
| | | 1.0493 | 0.6 | 120 | 1.0224 | |
| | | 1.105 | 0.7 | 140 | 1.0216 | |
| | | 1.1083 | 0.8 | 160 | 1.0098 | |
| | | 0.9956 | 0.9 | 180 | 0.9959 | |
| | | 1.1103 | 1.0 | 200 | 1.0078 | |
| | | 0.961 | 1.1 | 220 | 0.9895 | |
| | | 0.9062 | 1.2 | 240 | 0.9929 | |
| | | 0.9685 | 1.3 | 260 | 0.9913 | |
| | | 0.9164 | 1.4 | 280 | 0.9855 | |
| | | 0.9653 | 1.5 | 300 | 0.9851 | |
| | | 0.8943 | 1.6 | 320 | 0.9849 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.10.0 |
| | - Transformers 4.40.0 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
