| --- |
| 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-QLoRA |
| results: [] |
| pipeline_tag: text-generation |
| --- |
| |
| <!-- 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. --> |
|
|
| # phi-3-mini-QLoRA |
|
|
| 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: 1.1546 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - 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 | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 2.2359 | 0.1416 | 50 | 1.9291 | |
| | 1.5215 | 0.2833 | 100 | 1.2761 | |
| | 1.287 | 0.4249 | 150 | 1.2268 | |
| | 1.2613 | 0.5666 | 200 | 1.2073 | |
| | 1.2341 | 0.7082 | 250 | 1.1996 | |
| | 1.2037 | 0.8499 | 300 | 1.1953 | |
| | 1.2117 | 0.9915 | 350 | 1.1871 | |
| | 1.2023 | 1.1331 | 400 | 1.1813 | |
| | 1.1635 | 1.2748 | 450 | 1.1770 | |
| | 1.1689 | 1.4164 | 500 | 1.1732 | |
| | 1.2013 | 1.5581 | 550 | 1.1720 | |
| | 1.1853 | 1.6997 | 600 | 1.1675 | |
| | 1.1933 | 1.8414 | 650 | 1.1648 | |
| | 1.1774 | 1.9830 | 700 | 1.1619 | |
| | 1.1633 | 2.1246 | 750 | 1.1626 | |
| | 1.1756 | 2.2663 | 800 | 1.1593 | |
| | 1.1597 | 2.4079 | 850 | 1.1587 | |
| | 1.1599 | 2.5496 | 900 | 1.1562 | |
| | 1.1145 | 2.6912 | 950 | 1.1567 | |
| | 1.162 | 2.8329 | 1000 | 1.1553 | |
| | 1.1507 | 2.9745 | 1050 | 1.1546 | |
|
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|
| ### Framework versions |
|
|
| - PEFT 0.12.0 |
| - Transformers 4.43.3 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
