---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/Phi-3-mini-4k-instruct
model-index:
- name: Phi-3-mini-4k-instruct-retrained_network_corpus
  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. -->

# Phi-3-mini-4k-instruct-retrained_network_corpus

This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3960

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8696        | 1.0   | 112  | 2.0452          |
| 1.3684        | 2.0   | 224  | 2.1041          |
| 0.9071        | 3.0   | 336  | 2.3714          |
| 0.5282        | 4.0   | 448  | 2.8351          |
| 0.2728        | 5.0   | 560  | 3.3396          |
| 0.1308        | 6.0   | 672  | 3.7990          |
| 0.0594        | 7.0   | 784  | 3.9724          |
| 0.032         | 8.0   | 896  | 4.0585          |
| 0.0186        | 9.0   | 1008 | 4.3351          |
| 0.0133        | 10.0  | 1120 | 4.3960          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1