init

config.json

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+{
+  "add_cross_proj": false,
+  "architectures": [
+    "BaseModel"
+  ],
+  "backbone_dim": 1024,
+  "data_roots": [
+    "DATA/SHREC2017/SHREC2017"
+  ],
+  "dataset": "SHREC",
+  "dataset_list": [
+    "SHREC"
+  ],
+  "depths": 5,
+  "dim": 1024,
+  "dim_head": 128,
+  "dropout1": 0.0,
+  "dropout_rate": 0.5,
+  "epochs": 300,
+  "frames_per_clip": 32,
+  "heads": 8,
+  "label_smoothing": 0.0,
+  "lr": 0.1,
+  "mlp_dim": 2048,
+  "model": "PSTTransformer",
+  "model_init": null,
+  "model_type": "points",
+  "nsamples": 32,
+  "num_points": 128,
+  "output_dir": "SHREC_PSTTransformer_0.1_32_300_encoder_only",
+  "pretrain": false,
+  "print_freq": 10,
+  "probing": false,
+  "radius": 0.2,
+  "resume": null,
+  "seed": 0,
+  "spatial_stride": 2,
+  "start_epoch": 0,
+  "step_between_clips": 1,
+  "temporal_kernel_size": 3,
+  "temporal_stride": 1,
+  "torch_dtype": "float32",
+  "train_batch_size": 32,
+  "train_mode": "encoder_only",
+  "transformers_version": "4.17.0",
+  "use_info": false,
+  "use_multi_dataset": false,
+  "warmup_ratio": 0.1,
+  "weight_decay": 0.0001,
+  "workers": 16
+}

optimizer.pt

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pytorch_model.bin

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rng_state.pth

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scheduler.pt

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training_args.bin

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