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fetal_planes_final
RushnaFathima/fetal_planes_final
fetal_planes_final is a machine learning model from RushnaFathima. 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.
should probably proofread and complete it, then remove this comment. --
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Updated Jun 12, 2026
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026
- SHA
- 9f877529
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. -->
fetal_planes_final
This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4955
- Accuracy: 0.9470
- F1 Weighted: 0.9478
- F1 Macro: 0.9478
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | F1 Macro |
|---|---|---|---|---|---|---|
| 0.306 | 1.0 | 44 | 0.5057 | 0.7819 | 0.7847 | 0.7847 |
| 0.1517 | 2.0 | 88 | 0.1859 | 0.9424 | 0.9422 | 0.9422 |
| 0.1301 | 3.0 | 132 | 0.2269 | 0.9315 | 0.9316 | 0.9316 |
| 0.0946 | 4.0 | 176 | 0.2158 | 0.9393 | 0.9402 | 0.9402 |
| 0.0846 | 5.0 | 220 | 0.2081 | 0.9455 | 0.9454 | 0.9454 |
| 0.0738 | 6.0 | 264 | 0.2057 | 0.9486 | 0.9491 | 0.9491 |
| 0.0388 | 7.0 | 308 | 0.3705 | 0.9128 | 0.9158 | 0.9158 |
| 0.025 | 8.0 | 352 | 0.3852 | 0.9221 | 0.9239 | 0.9239 |
| 0.0226 | 9.0 | 396 | 0.2083 | 0.9517 | 0.9522 | 0.9522 |
| 0.0126 | 10.0 | 440 | 0.3026 | 0.9408 | 0.9415 | 0.9415 |
| 0.0437 | 11.0 | 484 | 0.2995 | 0.9533 | 0.9538 | 0.9538 |
| 0.0193 | 12.0 | 528 | 0.4247 | 0.9377 | 0.9375 | 0.9375 |
| 0.0044 | 13.0 | 572 | 0.5568 | 0.9330 | 0.9351 | 0.9351 |
| 0.0015 | 14.0 | 616 | 0.4955 | 0.9470 | 0.9478 | 0.9478 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.21.4
- Library
- transformers
- License
- apache-2.0
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026