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