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phi-3-mini-LoRA
Tanmoyr/phi-3-mini-LoRA
phi-3-mini-LoRA is a machine learning model from Tanmoyr. 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
- Sep 23, 2024
- Updated
- Sep 23, 2024
- SHA
- 50fc05a9
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-mini-LoRA
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5538
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: 8
- eval_batch_size: 8
- seed: 42
- 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_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8696 | 0.1809 | 100 | 0.6165 |
| 0.5929 | 0.3618 | 200 | 0.5742 |
| 0.5678 | 0.5427 | 300 | 0.5670 |
| 0.5714 | 0.7237 | 400 | 0.5633 |
| 0.5552 | 0.9046 | 500 | 0.5615 |
| 0.5661 | 1.0855 | 600 | 0.5599 |
| 0.5504 | 1.2664 | 700 | 0.5585 |
| 0.5525 | 1.4473 | 800 | 0.5576 |
| 0.5656 | 1.6282 | 900 | 0.5564 |
| 0.5515 | 1.8091 | 1000 | 0.5561 |
| 0.5524 | 1.9900 | 1100 | 0.5555 |
| 0.5424 | 2.1710 | 1200 | 0.5552 |
| 0.5592 | 2.3519 | 1300 | 0.5547 |
| 0.5467 | 2.5328 | 1400 | 0.5547 |
| 0.5476 | 2.7137 | 1500 | 0.5540 |
| 0.5501 | 2.8946 | 1600 | 0.5538 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.5.0.dev20240829+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 23, 2024
- Updated
- Sep 23, 2024