metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
model-index:
- name: CodePhi-3-mini-4k-instruct-appsloraN1k8-16
results: []
CodePhi-3-mini-4k-instruct-appsloraN1k8-16
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: 0.6704
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: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5986 | 0.1 | 100 | 0.7075 |
| 0.664 | 0.2 | 200 | 0.6941 |
| 0.6599 | 0.3 | 300 | 0.6839 |
| 0.6034 | 0.4 | 400 | 0.6769 |
| 0.6297 | 0.5 | 500 | 0.6730 |
| 0.6152 | 0.6 | 600 | 0.6711 |
| 0.6193 | 0.7 | 700 | 0.6705 |
| 0.5792 | 0.8 | 800 | 0.6705 |
| 0.5947 | 0.9 | 900 | 0.6704 |
| 0.5509 | 1.0 | 1000 | 0.6704 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1