Downloads · 30 days
8
17% of all-time downloads
WS800_BEiT_42820085
alirzb/WS800_BEiT_42820085
WS800_BEiT_42820085 is a image classification model from alirzb. 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
46
Public
Parameters
85.8M
2.7 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
- beit
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024
- SHA
- d28edf20
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. -->
WS800_BEiT_42820085
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0451
- Accuracy: 1.0
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.96 | 6 | 0.6592 | 0.85 |
| No log | 1.92 | 12 | 0.4828 | 0.9875 |
| No log | 2.88 | 18 | 0.3227 | 0.9875 |
| No log | 4.0 | 25 | 0.2001 | 0.9875 |
| No log | 4.96 | 31 | 0.1378 | 0.9875 |
| No log | 5.92 | 37 | 0.0838 | 1.0 |
| No log | 6.88 | 43 | 0.0635 | 1.0 |
| 0.297 | 8.0 | 50 | 0.0510 | 1.0 |
| 0.297 | 8.96 | 56 | 0.0462 | 1.0 |
| 0.297 | 9.6 | 60 | 0.0451 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024