---
base_model: microsoft/Phi-3-medium-4k-instruct
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: phi3-medium-spin-phi3-data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi3-medium-spin-phi3-data

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 None dataset.

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results



### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
## Training procedure


### Framework versions


- PEFT 0.6.1