---
library_name: peft
license: other
base_model: microsoft/Phi-3-medium-4k-instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_2025-04-09-16-08
  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. -->

# train_2025-04-09-16-08

This model is a fine-tuned version of [microsoft/Phi-3-medium-4k-instruct](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct) on the demo_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5246
- Num Input Tokens Seen: 1419568

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.4879        | 2.2424 | 20   | 0.5867          | 356000            |
| 0.4577        | 4.4848 | 40   | 0.5385          | 712336            |
| 0.5001        | 6.7273 | 60   | 0.5248          | 1061472           |
| 0.5027        | 8.9697 | 80   | 0.5246          | 1419568           |


### Framework versions

- PEFT 0.15.0
- Transformers 4.51.0
- Pytorch 2.1.0+cu118
- Datasets 3.4.1
- Tokenizers 0.21.0