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---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: AdnanRiaz107/CodePhi-3-mini-4k-instruct-python
model-index:
- name: CodePhi-3-mini-4k-instruct-pythonAPPS
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-4k-instruct-pythonAPPS
This model is a fine-tuned version of [AdnanRiaz107/CodePhi-3-mini-4k-instruct-python](https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-python) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6522
## 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: 100
- training_steps: 1200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5844 | 0.0833 | 100 | 0.6866 |
| 0.6441 | 0.1667 | 200 | 0.6737 |
| 0.6551 | 0.25 | 300 | 0.6658 |
| 0.5858 | 0.3333 | 400 | 0.6605 |
| 0.6136 | 0.4167 | 500 | 0.6569 |
| 0.5982 | 0.5 | 600 | 0.6546 |
| 0.6 | 0.5833 | 700 | 0.6531 |
| 0.5609 | 0.6667 | 800 | 0.6525 |
| 0.5824 | 0.75 | 900 | 0.6523 |
| 0.538 | 0.8333 | 1000 | 0.6523 |
| 0.6339 | 0.9167 | 1100 | 0.6523 |
| 0.6138 | 1.0 | 1200 | 0.6522 |
### Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |