Downloads · 30 days
8
9% of all-time downloads
human-classifier-v1
huytrinh1/human-classifier-v1
human-classifier-v1 is a image classification model from huytrinh1. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
89
Public
Parameters
85.8M
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Feb 6, 2026
- Updated
- Feb 6, 2026
- SHA
- bbc52636
Base models
Datasets
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. -->
human-classifier-v1
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0072
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0035 | 0.2347 | 100 | 0.0080 |
| 0.0016 | 0.4695 | 200 | 0.0069 |
| 0.0010 | 0.7042 | 300 | 0.0066 |
| 0.0007 | 0.9390 | 400 | 0.0067 |
| 0.0005 | 1.1737 | 500 | 0.0068 |
| 0.0004 | 1.4085 | 600 | 0.0069 |
| 0.0003 | 1.6432 | 700 | 0.0069 |
| 0.0003 | 1.8779 | 800 | 0.0070 |
| 0.0003 | 2.1127 | 900 | 0.0071 |
| 0.0002 | 2.3474 | 1000 | 0.0071 |
| 0.0002 | 2.5822 | 1100 | 0.0072 |
| 0.0002 | 2.8169 | 1200 | 0.0072 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Feb 6, 2026
- Updated
- Feb 6, 2026