| --- |
| base_model: microsoft/Phi-3-mini-4k-instruct |
| library_name: peft |
| license: mit |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: phi-3-mini-LoRA |
| 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/esawtooth-rohit-jain/learning/runs/9hs3unns) |
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/esawtooth-rohit-jain/learning/runs/3vivu1t4) |
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/esawtooth-rohit-jain/learning/runs/qnf9h94c) |
| # phi-3-mini-LoRA |
|
|
| This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5586 |
|
|
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.7527 | 0.1131 | 250 | 0.6002 | |
| | 0.5924 | 0.2262 | 500 | 0.5809 | |
| | 0.5811 | 0.3393 | 750 | 0.5759 | |
| | 0.5827 | 0.4524 | 1000 | 0.5717 | |
| | 0.5767 | 0.5655 | 1250 | 0.5704 | |
| | 0.5711 | 0.6787 | 1500 | 0.5678 | |
| | 0.5691 | 0.7918 | 1750 | 0.5672 | |
| | 0.5635 | 0.9049 | 2000 | 0.5654 | |
| | 0.5712 | 1.0180 | 2250 | 0.5650 | |
| | 0.5611 | 1.1311 | 2500 | 0.5647 | |
| | 0.555 | 1.2442 | 2750 | 0.5631 | |
| | 0.5505 | 1.3573 | 3000 | 0.5628 | |
| | 0.5657 | 1.4704 | 3250 | 0.5624 | |
| | 0.563 | 1.5835 | 3500 | 0.5617 | |
| | 0.5577 | 1.6966 | 3750 | 0.5614 | |
| | 0.5578 | 1.8098 | 4000 | 0.5603 | |
| | 0.5552 | 1.9229 | 4250 | 0.5604 | |
| | 0.5514 | 2.0360 | 4500 | 0.5600 | |
| | 0.5473 | 2.1491 | 4750 | 0.5603 | |
| | 0.5573 | 2.2622 | 5000 | 0.5596 | |
| | 0.5423 | 2.3753 | 5250 | 0.5599 | |
| | 0.5579 | 2.4884 | 5500 | 0.5595 | |
| | 0.5403 | 2.6015 | 5750 | 0.5591 | |
| | 0.5475 | 2.7146 | 6000 | 0.5593 | |
| | 0.5477 | 2.8277 | 6250 | 0.5590 | |
| | 0.5438 | 2.9408 | 6500 | 0.5586 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.43.1 |
| - Pytorch 2.4.0a0+3bcc3cddb5.nv24.07 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
