| --- |
| library_name: peft |
| license: mit |
| base_model: microsoft/phi-2 |
| tags: |
| - base_model:adapter:microsoft/phi-2 |
| - lora |
| - transformers |
| pipeline_tag: text-generation |
| model-index: |
| - name: phi-2-QLoRa1-Python |
| 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. --> |
|
|
| # phi-2-QLoRa1-Python |
|
|
| This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.3315 |
|
|
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 4.3884 | 0.1333 | 100 | 4.3373 | |
| | 4.2606 | 0.2667 | 200 | 4.3355 | |
| | 4.1367 | 0.4 | 300 | 4.3477 | |
| | 4.2479 | 0.5333 | 400 | 4.3369 | |
| | 4.2398 | 0.6667 | 500 | 4.3360 | |
| | 3.9217 | 0.8 | 600 | 4.3400 | |
| | 4.0251 | 0.9333 | 700 | 4.3373 | |
| | 4.3893 | 1.0667 | 800 | 4.3477 | |
| | 4.4014 | 1.2 | 900 | 4.3426 | |
| | 3.8868 | 1.3333 | 1000 | 4.3346 | |
| | 4.3634 | 1.4667 | 1100 | 4.3389 | |
| | 3.9379 | 1.6 | 1200 | 4.3337 | |
| | 4.0013 | 1.7333 | 1300 | 4.3340 | |
| | 4.3155 | 1.8667 | 1400 | 4.3331 | |
| | 4.5401 | 2.0 | 1500 | 4.3330 | |
| | 3.8402 | 2.1333 | 1600 | 4.3335 | |
| | 4.3658 | 2.2667 | 1700 | 4.3336 | |
| | 3.6929 | 2.4 | 1800 | 4.3326 | |
| | 4.482 | 2.5333 | 1900 | 4.3321 | |
| | 4.2755 | 2.6667 | 2000 | 4.3317 | |
| | 4.1472 | 2.8 | 2100 | 4.3315 | |
| | 4.1581 | 2.9333 | 2200 | 4.3315 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.17.1 |
| - Transformers 4.56.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.0 |
