---
license: mit
base_model: microsoft/Phi-3-mini-128k-instruct
tags:
- generated_from_trainer
model-index:
- name: CodePhi-3-miniFull0.1k
  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. -->

# CodePhi-3-miniFull0.1k

This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6586

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7277        | 0.1   | 10   | 0.7000          |
| 0.6698        | 0.2   | 20   | 0.6784          |
| 0.6505        | 0.3   | 30   | 0.6673          |
| 0.6621        | 0.4   | 40   | 0.6620          |
| 0.5436        | 0.5   | 50   | 0.6590          |
| 0.3544        | 0.6   | 60   | 0.6591          |
| 0.4525        | 0.7   | 70   | 0.6588          |
| 0.4208        | 0.8   | 80   | 0.6586          |
| 0.5922        | 0.9   | 90   | 0.6586          |
| 0.6187        | 1.0   | 100  | 0.6586          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1