---
library_name: transformers
license: other
tags:
- freeze
model-index:
- name: phi3.5-pro-10-08
  results: []
---

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# phi3.5-pro-10-08

This model is a fine-tuned version of [E:\mergekit\phi3.5-pro](https://huggingface.co/E:\mergekit\phi3.5-pro) on the Magpie_Qwen2_Pro_300k and the Magpie_Llama_3.1_Pro_MT_300k datasets.
It achieves the following results on the evaluation set:
- Loss: 0.8538

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7784        | 0.0080 | 100  | 0.8538          |
| 0.8605        | 0.0160 | 200  | 0.8538          |
| 0.8386        | 0.0240 | 300  | 0.8538          |
| 0.8201        | 0.0320 | 400  | 0.8538          |
| 0.8661        | 0.0400 | 500  | 0.8538          |
| 0.776         | 0.0480 | 600  | 0.8538          |
| 0.8377        | 0.0561 | 700  | 0.8538          |
| 0.8541        | 0.0641 | 800  | 0.8538          |
| 0.799         | 0.0721 | 900  | 0.8538          |
| 0.8146        | 0.0801 | 1000 | 0.8538          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.20.0