---
library_name: peft
license: mit
base_model: microsoft/Phi-4-mini-instruct
tags:
- generated_from_trainer
model-index:
- name: phi4-lora-xaji0y6d-1742306687
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi4-lora-xaji0y6d-1742306687

This model is a fine-tuned version of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 17.2338
- Perplexity: 30518534.8524

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 15

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Perplexity    |
|:-------------:|:------:|:----:|:---------------:|:-------------:|
| 5.7359        | 0.0664 | 5    | 17.2156         | 29967094.9946 |
| 6.77          | 0.1329 | 10   | 17.2293         | 30381179.4484 |
| 6.5826        | 0.1993 | 15   | 17.2174         | 30019325.4366 |
| 6.2712        | 0.2658 | 20   | 17.2338         | 30518534.8524 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.2
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0