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Phi-3.5-mini-instruct-24-9-29
win10/Phi-3.5-mini-instruct-24-9-29
Phi-3.5-mini-instruct-24-9-29 is a text generation model from win10. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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
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 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
- Task
- Text Generation
- Library
- transformers
- Type
- phi3
- License
- other
- Created
- Sep 29, 2024
- Updated
- Sep 30, 2024