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---
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library_name: transformers
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license: other
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base_model: microsoft/Phi-3.5-mini-instruct
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tags:
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- llama-factory
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- freeze
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- generated_from_trainer
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model-index:
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- name: microsoft/Phi-3.5-mini-instruct
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# my DC sever
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https://discord.gg/yaTfFF6Ut2
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# 我正在計畫微調64K指令模型，請幫助我進行計畫
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Support me here if you're interested:
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# Ko-fi: https://ko-fi.com/ogodwin10
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# Phi-3.5-mini-instruct-24-9-29
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.3194
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: reduce_lr_on_plateau
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.428 | 0.0160 | 100 | 1.3194 |
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| 1.2653 | 0.0320 | 200 | 1.3194 |
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| 1.3084 | 0.0480 | 300 | 1.3194 |
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| 1.3234 | 0.0641 | 400 | 1.3194 |
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| 1.4091 | 0.0801 | 500 | 1.3194 |
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| 1.2878 | 0.0961 | 600 | 1.3194 |
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| 1.2933 | 0.1121 | 700 | 1.3194 |
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| 1.3246 | 0.1281 | 800 | 1.3194 |
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| 1.2911 | 0.1441 | 900 | 1.3194 |
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| 1.4227 | 0.1602 | 1000 | 1.3194 |
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### Framework versions
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- Transformers 4.45.0
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- Pytorch 2.4.0+cu124
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- Datasets 2.19.1
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- Tokenizers 0.20.0
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