| | --- |
| | license: gemma |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: google/gemma-2b |
| | model-index: |
| | - name: CodeGemma2b-300APPS |
| | 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. --> |
| |
|
| | # CodeGemma2b-300APPS |
| |
|
| | This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9701 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 20 |
| | - training_steps: 300 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.0902 | 0.1667 | 50 | 1.0826 | |
| | | 0.9774 | 0.3333 | 100 | 1.0107 | |
| | | 0.9138 | 0.5 | 150 | 0.9829 | |
| | | 0.8657 | 0.6667 | 200 | 0.9703 | |
| | | 0.8228 | 0.8333 | 250 | 0.9685 | |
| | | 0.8886 | 1.0 | 300 | 0.9701 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.10.0 |
| | - Transformers 4.40.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.19.1 |
