Upload dataset

README.md

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+---
+dataset_info:
+  features:
+  - name: Model_name
+    dtype: string
+  - name: Train_size
+    dtype: int64
+  - name: Test_size
+    dtype: int64
+  - name: arg
+    struct:
+    - name: adafactor
+      dtype: bool
+    - name: adam_beta1
+      dtype: float64
+    - name: adam_beta2
+      dtype: float64
+    - name: adam_epsilon
+      dtype: float64
+    - name: bf16
+      dtype: bool
+    - name: fp16
+      dtype: bool
+    - name: fp16_opt_level
+      dtype: string
+    - name: gradient_accumulation_steps
+      dtype: int64
+    - name: half_precision_backend
+      dtype: string
+    - name: label_smoothing_factor
+      dtype: float64
+    - name: learning_rate
+      dtype: float64
+    - name: lr_scheduler_type
+      dtype: string
+    - name: max_grad_norm
+      dtype: float64
+    - name: max_steps
+      dtype: int64
+    - name: n_gpu
+      dtype: int64
+    - name: num_train_epochs
+      dtype: int64
+    - name: optim
+      dtype: string
+    - name: optim_args
+      dtype: string
+    - name: per_device_eval_batch_size
+      dtype: int64
+    - name: per_device_train_batch_size
+      dtype: int64
+    - name: warmup_ratio
+      dtype: float64
+    - name: warmup_steps
+      dtype: int64
+    - name: weight_decay
+      dtype: float64
+  - name: lora
+    list: string
+  - name: Parameters
+    dtype: int64
+  - name: Trainable_parameters
+    dtype: int64
+  - name: r
+    dtype: int64
+  - name: Memory Allocation
+    dtype: float64
+  - name: Training Time
+    dtype: string
+  - name: accuracy
+    dtype: float64
+  - name: f1_macro
+    dtype: float64
+  - name: f1_weighted
+    dtype: float64
+  - name: precision
+    dtype: float64
+  - name: recall
+    dtype: float64
+  splits:
+  - name: Normal
+    num_bytes: 5932
+    num_examples: 17
+  - name: FocalLoss
+    num_bytes: 3867
+    num_examples: 11
+  - name: ClassBalanced
+    num_bytes: 5583
+    num_examples: 16
+  - name: Resample
+    num_bytes: 4925
+    num_examples: 14
+  - name: CostSensitive
+    num_bytes: 5570
+    num_examples: 16
+  - name: SmoothLabels
+    num_bytes: 5602
+    num_examples: 16
+  download_size: 104590
+  dataset_size: 31479
+configs:
+- config_name: default
+  data_files:
+  - split: Normal
+    path: data/Normal-*
+  - split: FocalLoss
+    path: data/FocalLoss-*
+  - split: ClassBalanced
+    path: data/ClassBalanced-*
+  - split: Resample
+    path: data/Resample-*
+  - split: CostSensitive
+    path: data/CostSensitive-*
+  - split: SmoothLabels
+    path: data/SmoothLabels-*
+---

data/ClassBalanced-00000-of-00001.parquet

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+size 17486

data/CostSensitive-00000-of-00001.parquet

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+size 17525

data/FocalLoss-00000-of-00001.parquet

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+size 17057

data/Normal-00000-of-00001.parquet

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+size 17676

data/Resample-00000-of-00001.parquet

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+size 17321

data/SmoothLabels-00000-of-00001.parquet

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+size 17525