---
library_name: peft
license: mit
base_model: microsoft/Phi-4-mini-instruct
tags:
- generated_from_trainer
model-index:
- name: phi4-lora-xaji0y6d-1742307792
  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-1742307792

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: 17.2192
- Perplexity: 30074056.0078

## 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: 1e-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    |
|:-------------:|:------:|:----:|:---------------:|:-------------:|
| 5.712         | 0.0664 | 5    | 17.2155         | 29964122.9417 |
| 6.9157        | 0.1329 | 10   | 17.2185         | 30054100.7563 |
| 6.8786        | 0.1993 | 15   | 17.2190         | 30069467.4211 |
| 6.785         | 0.2658 | 20   | 17.2192         | 30074056.0078 |


### Framework versions

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