| | --- |
| | license: mit |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: microsoft/Phi-3-mini-4k-instruct |
| | model-index: |
| | - name: logs |
| | 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. --> |
| |
|
| | # logs |
| |
|
| | This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7801 |
| |
|
| | ## 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: 1 |
| | - eval_batch_size: 8 |
| | - 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 |
| | - num_epochs: 4 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | No log | 0.9948 | 24 | 0.8328 | |
| | | 1.2356 | 1.9896 | 48 | 0.7904 | |
| | | 0.6283 | 2.9845 | 72 | 0.7775 | |
| | | 0.5611 | 3.9793 | 96 | 0.7801 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.10.0 |
| | - Transformers 4.40.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
