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: NormalRLora
+    num_bytes: 5932
+    num_examples: 17
+  - name: FocalLossRLora
+    num_bytes: 5933
+    num_examples: 17
+  - name: ClassBalancedRLora
+    num_bytes: 5934
+    num_examples: 17
+  - name: ResampleRLora
+    num_bytes: 5931
+    num_examples: 17
+  - name: CostSensitiveRLora
+    num_bytes: 5934
+    num_examples: 17
+  - name: SmoothLabelsR2RLora
+    num_bytes: 5931
+    num_examples: 17
+  download_size: 105735
+  dataset_size: 35595
+configs:
+- config_name: default
+  data_files:
+  - split: NormalRLora
+    path: data/NormalRLora-*
+  - split: FocalLossRLora
+    path: data/FocalLossRLora-*
+  - split: ClassBalancedRLora
+    path: data/ClassBalancedRLora-*
+  - split: ResampleRLora
+    path: data/ResampleRLora-*
+  - split: CostSensitiveRLora
+    path: data/CostSensitiveRLora-*
+  - split: SmoothLabelsR2RLora
+    path: data/SmoothLabelsR2RLora-*
+---

data/ClassBalancedRLora-00000-of-00001.parquet

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+size 17662

data/CostSensitiveRLora-00000-of-00001.parquet

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data/FocalLossRLora-00000-of-00001.parquet

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data/NormalRLora-00000-of-00001.parquet

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data/ResampleRLora-00000-of-00001.parquet

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data/SmoothLabelsR2RLora-00000-of-00001.parquet

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