Update beatrix-simplex7-patch4-45d_20251008_010524 - Epoch 0 - Acc: 0.0174
Browse files
README.md
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@@ -59,26 +59,27 @@ When train accuracy exceeds validation accuracy by 2% or more, the system automa
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| beatrix-4simplex-45d | 20251007_231008 | 0.2916 | 85 | `weights/beatrix-4simplex-45d/20251007_231008` | `logs/beatrix-4simplex-45d/20251007_231008` |
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| beatrix-cifar100 | 20251007_193112 | 0.2802 | 10 | `weights/beatrix-cifar100/20251007_193112` | `N/A` |
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| beatrix-4simplex-45d | 20251008_001147 | 0.1382 | 10 | `weights/beatrix-4simplex-45d/20251008_001147` | `logs/beatrix-4simplex-45d/20251008_001147` |
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## Latest Updated Model: beatrix-
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### Model Details
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- **Architecture**: Vision Transformer with fractal positional encoding
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- **Dataset**: CIFAR-100 (100 classes)
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- **Embedding Dimension**:
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- **Depth**:
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- **Patch Size**: 4x4
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- **PE Levels**: 12
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- **Simplex Dimension**:
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- **Simplex Initialization**: regular (scale=1.0)
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### Training Details
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- **Training Session**:
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- **Best Accuracy**: 0.
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- **Epochs Trained**:
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- **Batch Size**: 512
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- **Learning Rate**: 0.0001
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- **Adaptive Augmentation**: Enabled
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Training logs are available in the repository at:
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```
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logs/beatrix-
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```
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To view them locally:
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git clone https://huggingface.co/AbstractPhil/vit-beatrix
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# View logs in TensorBoard
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tensorboard --logdir vit-beatrix/logs/beatrix-
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```
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## Usage
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for key, info in sorted(manifest.items(), key=lambda x: x[1]['accuracy'], reverse=True):
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print(f"{info['model_name']} ({info['timestamp']}): {info['accuracy']:.4f}")
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# Download weights for the latest training session of beatrix-
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weights_path = hf_hub_download(
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repo_id="AbstractPhil/vit-beatrix",
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filename="weights/beatrix-
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)
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# Load model
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model = SimplifiedGeometricClassifier(
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num_classes=100,
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img_size=32,
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embed_dim=
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depth=
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)
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# Load weights
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| beatrix-4simplex-45d | 20251007_231008 | 0.2916 | 85 | `weights/beatrix-4simplex-45d/20251007_231008` | `logs/beatrix-4simplex-45d/20251007_231008` |
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| beatrix-cifar100 | 20251007_193112 | 0.2802 | 10 | `weights/beatrix-cifar100/20251007_193112` | `N/A` |
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| beatrix-4simplex-45d | 20251008_001147 | 0.1382 | 10 | `weights/beatrix-4simplex-45d/20251008_001147` | `logs/beatrix-4simplex-45d/20251008_001147` |
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| beatrix-simplex7-patch4-45d | 20251008_010524 | 0.0174 | 0 | `weights/beatrix-simplex7-patch4-45d/20251008_010524` | `logs/beatrix-simplex7-patch4-45d/20251008_010524` |
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## Latest Updated Model: beatrix-simplex7-patch4-45d (Session: 20251008_010524)
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### Model Details
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- **Architecture**: Vision Transformer with fractal positional encoding
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- **Dataset**: CIFAR-100 (100 classes)
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- **Embedding Dimension**: 45
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- **Depth**: 22 layers
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- **Patch Size**: 4x4
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- **PE Levels**: 12
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- **Simplex Dimension**: 7-simplex
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- **Simplex Initialization**: regular (scale=1.0)
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### Training Details
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- **Training Session**: 20251008_010524
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- **Best Accuracy**: 0.0174
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- **Epochs Trained**: 0
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- **Batch Size**: 512
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- **Learning Rate**: 0.0001
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- **Adaptive Augmentation**: Enabled
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Training logs are available in the repository at:
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```
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logs/beatrix-simplex7-patch4-45d/20251008_010524
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```
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To view them locally:
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git clone https://huggingface.co/AbstractPhil/vit-beatrix
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# View logs in TensorBoard
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tensorboard --logdir vit-beatrix/logs/beatrix-simplex7-patch4-45d/20251008_010524
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```
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## Usage
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for key, info in sorted(manifest.items(), key=lambda x: x[1]['accuracy'], reverse=True):
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print(f"{info['model_name']} ({info['timestamp']}): {info['accuracy']:.4f}")
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# Download weights for the latest training session of beatrix-simplex7-patch4-45d
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weights_path = hf_hub_download(
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repo_id="AbstractPhil/vit-beatrix",
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filename="weights/beatrix-simplex7-patch4-45d/20251008_010524/model.safetensors"
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)
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# Load model
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model = SimplifiedGeometricClassifier(
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num_classes=100,
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img_size=32,
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embed_dim=45,
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depth=22
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)
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# Load weights
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logs/beatrix-simplex7-patch4-45d/20251008_010524/events.out.tfevents.1759885526.f41d735e1a7f.129854.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:f39fdcd4a7582e86f429e17b783dff83a299a505e8edc5a45bd0af742f24edb7
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size 88
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manifest.json
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"depth": 12,
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"batch_size": 512,
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"learning_rate": 0.0001
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}
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}
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"depth": 12,
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"batch_size": 512,
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"learning_rate": 0.0001
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},
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"beatrix-simplex7-patch4-45d_20251008_010524": {
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"accuracy": 0.017377068102359772,
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"epoch": 0,
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"timestamp": "20251008_010524",
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"model_name": "beatrix-simplex7-patch4-45d",
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"path": "weights/beatrix-simplex7-patch4-45d/20251008_010524",
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"logs_path": "logs/beatrix-simplex7-patch4-45d/20251008_010524",
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"embed_dim": 45,
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"depth": 22,
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"batch_size": 512,
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"learning_rate": 0.0001
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}
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}
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weights/beatrix-simplex7-patch4-45d/20251008_010524/config.json
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{
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"num_classes": 100,
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"img_size": 32,
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"patch_size": 4,
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"embed_dim": 45,
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"k_simplex": 7,
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"depth": 22,
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"num_heads": 5,
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"mlp_ratio": 4.0,
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"dropout": 0.0,
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"pe_levels": 12,
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"pe_features_per_level": 2,
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"pe_smooth_tau": 0.25,
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"simplex_feature_weight": 0.5,
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"simplex_init_method": "regular",
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"simplex_init_scale": 1.0,
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"batch_size": 512,
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"num_epochs": 100,
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"learning_rate": 0.0001,
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"weight_decay": 0.005,
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"warmup_epochs": 10,
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"task_loss_weight": 0.5,
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"flow_loss_weight": 0.5,
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"coherence_loss_weight": 0.3,
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"multiscale_loss_weight": 0.2,
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"volume_reg_weight": 0.1,
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"use_adaptive_augmentation": true,
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"overfit_threshold": 0.015,
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"mixup_alpha": 0.2,
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"cutmix_alpha": 1.0,
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"device": "cuda",
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"num_workers": 4,
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"pin_memory": true,
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"save_dir": "./checkpoints",
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"save_every": 10,
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"use_safetensors": true,
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"timestamp_dirs": true,
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"push_to_hub": true,
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"hub_model_id": "AbstractPhil/vit-beatrix",
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"hub_model_name": "beatrix-simplex7-patch4-45d",
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"hub_upload_best_only": true,
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"hub_upload_every_n_epochs": 10,
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"use_tensorboard": true,
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"log_dir": "./logs",
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"log_every": 50,
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"train_baseline": false
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}
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weights/beatrix-simplex7-patch4-45d/20251008_010524/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3cdf82075a0eae202d8974303c2c9db134608bbca41df72ab6b2ad849494fa6
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size 2249656
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