| --- |
| base_model: codellama/CodeLlama-7b-hf |
| library_name: peft |
| license: llama2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: sparql-code-llama |
| 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. --> |
|
|
| # sparql-code-llama |
|
|
| This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4088 |
|
|
| ## 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: 0.0003 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 400 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.695 | 0.0838 | 50 | 0.7324 | |
| | 0.4445 | 0.1676 | 100 | 0.5458 | |
| | 0.4184 | 0.2515 | 150 | 0.4852 | |
| | 0.4081 | 0.3353 | 200 | 0.4599 | |
| | 0.3996 | 0.4191 | 250 | 0.4389 | |
| | 0.3944 | 0.5029 | 300 | 0.4256 | |
| | 0.3925 | 0.5868 | 350 | 0.4150 | |
| | 0.3957 | 0.6706 | 400 | 0.4088 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.13.2 |
| - Transformers 4.45.1 |
| - Pytorch 2.4.0 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
