Downloads · 30 days
0
AgriPath-Qwen2-VL-2B-LoRA16
hamzamooraj99/AgriPath-Qwen2-VL-2B-LoRA16
AgriPath-Qwen2-VL-2B-LoRA16 is a machine learning model from hamzamooraj99. 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 transformers. The card lists the license as apache-2.0.
Fine-tuned Qwen2-VL-2B on AgriPath-LF16-30k for crop and disease classification. Uses LoRA (rank=16) to adapt vision and language layers.
Access
Public
Updated Mar 16, 2025
Repo size
127 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors116 MB · 88%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 10, 2025
- Updated
- Mar 16, 2025
- SHA
- 9091e4c5
Base models
Datasets
Model card
From the Hugging Face model README
AgriPath-Qwen2-VL-2B-LoRA16
Fine-tuned Qwen2-VL-2B on AgriPath-LF16-30k for crop and disease classification. Uses LoRA (rank=16) to adapt vision and language layers.
Model Details
- Base Model: Qwen2-VL-2B
- Fine-tuned on: AgriPath-LF16-30k
- Fine-tuning Method: LoRA (Rank=16, Alpha=16, Dropout=0)
- Layers Updated: Vision, Attention, Language, MLP Modules
- Optimiser: AdamW (8-bit)
- Batch Size: 2 per device (Gradient Accumulation = 4)
- Learning Rate: 2e-4
- Training Time: 189.27 minutes (~3.15 hours)
- Peak GPU Usage: 12.7GB (RTX 4080 Super)
Dataset
AgriPath-LF16-30k
- 30,000 images across 16 crops and 65 (crop, disease) pairs
- 50% lab images, 50% field images
- Preprocessing:
- Images resized:
max_pixels = 512x512,min_pixels = 224x224 - No additional augmentation
- Images resized:
Training Performance
| Step | Training Loss | Validation Loss |
|---|---|---|
| 500 | 0.006000 | 0.017821 |
| 1000 | 0.007700 | 0.012377 |
| 1500 | 0.013800 | 0.009712 |
| 2000 | 0.003200 | 0.008841 |
| 2500 | 0.013700 | 0.005980 |
✅ Best validation loss: 0.005980 at step 2500
✅ Stable training with low overfitting
Uploaded model
- Developed by: hamzamooraj99
- License: apache-2.0
- Finetuned from model : unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit
This qwen2_vl model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Mar 10, 2025
- Updated
- Mar 16, 2025