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phi3_finetunev2
sddcresearch/phi3_finetunev2
phi3_finetunev2 is a machine learning model from sddcresearch. 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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.safetensors432 MB · 99%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 29, 2024
- Updated
- May 29, 2024
- SHA
- 2067b7a1
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. -->
phi3_finetunev2
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: 1.1320
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: 0.0002
- 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2859 | 2.6667 | 40 | 0.5632 |
| 0.2014 | 5.3333 | 80 | 0.6352 |
| 0.1367 | 8.0 | 120 | 0.6947 |
| 0.0955 | 10.6667 | 160 | 0.7761 |
| 0.0756 | 13.3333 | 200 | 0.8871 |
| 0.0666 | 16.0 | 240 | 0.8893 |
| 0.0609 | 18.6667 | 280 | 0.9542 |
| 0.0584 | 21.3333 | 320 | 0.9722 |
| 0.0565 | 24.0 | 360 | 1.0021 |
| 0.0548 | 26.6667 | 400 | 1.0579 |
| 0.0543 | 29.3333 | 440 | 1.0642 |
| 0.0542 | 32.0 | 480 | 1.0696 |
| 0.0532 | 34.6667 | 520 | 1.0861 |
| 0.0526 | 37.3333 | 560 | 1.0901 |
| 0.0522 | 40.0 | 600 | 1.1002 |
| 0.0517 | 42.6667 | 640 | 1.1150 |
| 0.0512 | 45.3333 | 680 | 1.1166 |
| 0.0509 | 48.0 | 720 | 1.1320 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.16.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- May 29, 2024
- Updated
- May 29, 2024