Upload dataset

README.md

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+---
+dataset_info:
+  config_name: ResNet
+  features:
+  - name: random_crop
+    dtype: bool
+  - name: epochs
+    dtype: int64
+  - name: seed
+    dtype: int64
+  - name: best_checkpoint_test_loss
+    dtype: float64
+  - name: model_idx
+    dtype: int64
+  - name: dataset_name
+    dtype: string
+  - name: best_checkpoint_test_accuracy
+    dtype: float64
+  - name: weight_decay
+    dtype: float64
+  - name: batch_size
+    dtype: int64
+  - name: base_model
+    dtype: string
+  - name: best_checkpoint_val_loss
+    dtype: float64
+  - name: dataset_chosen_targets
+    dtype: string
+  - name: best_checkpoint_train_accuracy
+    dtype: float64
+  - name: best_checkpoint_train_loss
+    dtype: float64
+  - name: max_train_steps
+    dtype: int64
+  - name: best_checkpoint_val_accuracy
+    dtype: float64
+  - name: lr_scheduler
+    dtype: string
+  - name: learning_rate
+    dtype: float64
+  - name: random_flip
+    dtype: bool
+  - name: split
+    dtype: string
+  - name: subset
+    dtype: string
+  - name: hf_model_id
+    dtype: string
+  - name: hf_model_url
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 559861
+    num_examples: 701
+  - name: val
+    num_bytes: 79621
+    num_examples: 100
+  - name: test
+    num_bytes: 160334
+    num_examples: 201
+  download_size: 254554
+  dataset_size: 799816
+configs:
+- config_name: ResNet
+  data_files:
+  - split: train
+    path: ResNet/train-*
+  - split: val
+    path: ResNet/val-*
+  - split: test
+    path: ResNet/test-*
+---

ResNet/test-00000-of-00001.parquet

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+size 58047

ResNet/train-00000-of-00001.parquet

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+size 159332

ResNet/val-00000-of-00001.parquet

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