README.md

---
license: mit
base_model: microsoft/Phi-3-mini-128k-instruct
tags:
- generated_from_trainer
model-index:
- name: CodePhi-3-mini-128k-instruct-St
  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-mini-128k-instruct-St

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: 0.8475

## 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: 50
- training_steps: 450

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7314        | 0.1111 | 50   | 1.0823          |
| 0.6329        | 0.2222 | 100  | 0.9492          |
| 0.4915        | 0.3333 | 150  | 0.8924          |
| 0.4442        | 0.4444 | 200  | 0.8674          |
| 0.4184        | 0.5556 | 250  | 0.8540          |
| 0.4269        | 0.6667 | 300  | 0.8491          |
| 0.3887        | 0.7778 | 350  | 0.8483          |
| 0.3898        | 0.8889 | 400  | 0.8480          |
| 0.3992        | 1.0    | 450  | 0.8475          |


### Framework versions

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