---
library_name: transformers
license: other
base_model: microsoft/Phi-3.5-mini-instruct
tags:
- llama-factory
- freeze
- generated_from_trainer
model-index:
- name: microsoft/Phi-3.5-mini-instruct
  results: []
---

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# Phi-3.5-mini-instruct-24-9-29

This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the lmsys_chat dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3194

## 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: reduce_lr_on_plateau
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.428         | 0.0160 | 100  | 1.3194          |
| 1.2653        | 0.0320 | 200  | 1.3194          |
| 1.3084        | 0.0480 | 300  | 1.3194          |
| 1.3234        | 0.0641 | 400  | 1.3194          |
| 1.4091        | 0.0801 | 500  | 1.3194          |
| 1.2878        | 0.0961 | 600  | 1.3194          |
| 1.2933        | 0.1121 | 700  | 1.3194          |
| 1.3246        | 0.1281 | 800  | 1.3194          |
| 1.2911        | 0.1441 | 900  | 1.3194          |
| 1.4227        | 0.1602 | 1000 | 1.3194          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.0+cu124
- Datasets 2.19.1
- Tokenizers 0.20.0