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phi-3-vi-sft-1
mob2711/phi-3-vi-sft-1
phi-3-vi-sft-1 is a machine learning model from mob2711. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Apr 26, 2024
- Updated
- May 3, 2024
- SHA
- 749e6ca2
Base models
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. -->
phi-3-vi-sft-1
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0711
Model description
Fine-tuning Phi-3-4b with Vietnamese Domain, VI_LIMA and VI_Alpaca Dataset
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4031 | 0.17 | 40 | 1.2004 |
| 1.1508 | 0.34 | 80 | 1.1312 |
| 1.1055 | 0.51 | 120 | 1.1002 |
| 1.0814 | 0.67 | 160 | 1.0820 |
| 1.0735 | 0.84 | 200 | 1.0711 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Apr 26, 2024
- Updated
- May 3, 2024