| base_model: microsoft/Phi-3-mini-4k-instruct | |
| library_name: peft | |
| license: other | |
| metrics: | |
| - accuracy | |
| tags: | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| model-index: | |
| - name: 2024-09-12_16:02 | |
| 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. --> | |
| # 2024-09-12_16:02 | |
| This model is a fine-tuned version of [./models//microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/./models//microsoft/Phi-3-mini-4k-instruct) on the coding dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5729 | |
| - Accuracy: 0.5958 | |
| ## 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: 0.0001 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 8 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - training_steps: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| | |
| | 1.5967 | 0.0356 | 4 | 1.5761 | 0.5944 | | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.42.4 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |