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---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/Phi-3.5-mini-instruct
model-index:
- name: phi3.5-hugcoder
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. -->
# phi3.5-hugcoder
This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6832
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.1 | 10 | 0.5937 |
| No log | 0.2 | 20 | 0.4756 |
| No log | 0.3 | 30 | 0.4394 |
| No log | 0.4 | 40 | 0.4419 |
| 0.5311 | 0.5 | 50 | 0.4827 |
| 0.5311 | 0.6 | 60 | 0.5897 |
| 0.5311 | 0.7 | 70 | 0.5495 |
| 0.5311 | 0.8 | 80 | 0.6268 |
| 0.5311 | 0.9 | 90 | 0.6744 |
| 0.1769 | 1.0 | 100 | 0.6832 |
### Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |