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---
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: []
---
<!-- 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. -->
# my DC sever
https://discord.gg/yaTfFF6Ut2
# 我正在計畫微調64K指令模型，請幫助我進行計畫
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# Ko-fi: https://ko-fi.com/ogodwin10
# 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
|