metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
model-index:
- name: CodePhi-3-mini-128k-instruct-APPS
results: []
datasets:
- codeparrot/apps
pipeline_tag: text-generation
CodePhi-3-mini-4k-instruct-APPS
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7651
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 |
|---|---|---|---|
| 0.8306 | 0.0833 | 100 | 0.8445 |
| 0.6325 | 0.1667 | 200 | 0.8164 |
| 0.6696 | 0.25 | 300 | 0.7934 |
| 0.643 | 0.3333 | 400 | 0.7815 |
| 0.778 | 0.4167 | 500 | 0.7737 |
| 0.7273 | 0.5 | 600 | 0.7696 |
| 0.712 | 0.5833 | 700 | 0.7676 |
| 0.6477 | 0.6667 | 800 | 0.7658 |
| 0.6245 | 0.75 | 900 | 0.7652 |
| 0.6959 | 0.8333 | 1000 | 0.7650 |
| 0.7236 | 0.9167 | 1100 | 0.7650 |
| 0.6774 | 1.0 | 1200 | 0.7651 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1