Downloads · 30 days
2
13% of all-time downloads
profesor_Swin3D_O_RLVS
DanJoshua/profesor_Swin3D_O_RLVS
profesor_Swin3D_O_RLVS is a machine learning model from DanJoshua. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
16
Public
Parameters
91.4M
2.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors381 MB · 100%
Parameter types
How the weights are stored.
F3287.7M · 96%
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. -->
profesor_Swin3D_O_RLVS
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0660
- Accuracy: 0.9882
- F1: 0.9882
- Precision: 0.9882
- Recall: 0.9882
- Roc Auc: 0.9988
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: 1e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 477
- training_steps: 4770
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.0696 | 2.0329 | 477 | 0.0768 | 0.9732 | 0.9732 | 0.9734 | 0.9732 | 0.9980 |
| 0.0312 | 5.0323 | 954 | 0.1061 | 0.9786 | 0.9786 | 0.9788 | 0.9786 | 0.9984 |
| 0.0414 | 8.0317 | 1431 | 0.0981 | 0.9732 | 0.9732 | 0.9734 | 0.9732 | 0.9988 |
| 0.0005 | 11.0310 | 1908 | 0.0739 | 0.9866 | 0.9866 | 0.9866 | 0.9866 | 0.9986 |
| 0.0009 | 14.0304 | 2385 | 0.1144 | 0.9812 | 0.9812 | 0.9814 | 0.9812 | 0.9987 |
| 0.0015 | 17.0298 | 2862 | 0.2200 | 0.9705 | 0.9705 | 0.9712 | 0.9705 | 0.9964 |
| 0.0002 | 20.0291 | 3339 | 0.1794 | 0.9732 | 0.9732 | 0.9733 | 0.9732 | 0.9978 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.0.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1
- Library
- transformers
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024