---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
datasets:
- generator
model-index:
- name: Phi-3-mini-128k-instruct-advisegpt-v0.3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Phi-3-mini-128k-instruct-advisegpt-v0.3

This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6513

## 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: 2e-05
- train_batch_size: 14
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 30
- total_train_batch_size: 420
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.838         | 0.9633 | 14   | 1.7877          |
| 1.5618        | 1.9954 | 29   | 1.6674          |
| 1.4944        | 2.8899 | 42   | 1.6513          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1