---
dataset_info:
  features:
  - name: model_load
    struct:
    - name: load_in_4bit
      dtype: bool
    - name: max_seq
      dtype: int64
    - name: model_name
      dtype: string
    - name: num_labels
      dtype: int64
    - name: tunemode
      dtype: string
    - name: use_gradient_checkpointing
      dtype: bool
  - name: dataset
    struct:
    - name: dataname
      dtype: string
    - name: labels_col
      dtype: string
    - name: test_numsamples
      dtype: int64
    - name: texts_col
      dtype: string
    - name: train_numsamples
      dtype: int64
  - name: peft_config
    struct:
    - name: bias
      dtype: string
    - name: lora_alpha
      dtype: int64
    - name: lora_dropout
      dtype: float64
    - name: r
      dtype: int64
    - name: target_modules
      sequence: string
    - name: task_type
      dtype: string
  - name: trainargs
    struct:
    - name: label_smoothing_factor
      dtype: float64
  - name: train_report
    struct:
    - name: FinetuneMemory
      dtype: string
    - name: FinetuneParameters
      dtype: int64
    - name: FinetuneTime
      dtype: string
    - name: PercentFinetuneParameters
      dtype: string
    - name: TotalParameters
      dtype: int64
  - name: evaluation
    struct:
    - name: cm__True_0__Pred_0
      dtype: int64
    - name: cm__True_0__Pred_1
      dtype: int64
    - name: cm__True_1__Pred_0
      dtype: int64
    - name: cm__True_1__Pred_1
      dtype: int64
    - name: cm_norm__True_0__Pred_0
      dtype: float64
    - name: cm_norm__True_0__Pred_1
      dtype: float64
    - name: cm_norm__True_0__Support
      dtype: int64
    - name: cm_norm__True_1__Pred_0
      dtype: float64
    - name: cm_norm__True_1__Pred_1
      dtype: float64
    - name: cm_norm__True_1__Support
      dtype: int64
    - name: metric__Accuracy
      dtype: float64
    - name: metric__Balanced Accuracy
      dtype: float64
    - name: metric__Cohen Kappa
      dtype: float64
    - name: metric__F1-score (Macro)
      dtype: float64
    - name: metric__F1-score (Weighted)
      dtype: float64
    - name: metric__Matthews Corrcoef (MCC)
      dtype: float64
    - name: metric__Precision (Macro)
      dtype: float64
    - name: metric__Precision (Weighted)
      dtype: float64
    - name: metric__Recall (Macro)
      dtype: float64
    - name: metric__Recall (Weighted)
      dtype: float64
    - name: prob__Brier Score
      dtype: float64
    - name: prob__Confidence Std
      dtype: float64
    - name: prob__Entropy Std
      dtype: float64
    - name: prob__Log Loss
      dtype: float64
    - name: prob__Mean Confidence
      dtype: float64
    - name: prob__Mean Entropy
      dtype: float64
    - name: prob__Median Confidence
      dtype: float64
    - name: prob__PR-AUC
      dtype: float64
    - name: prob__ROC-AUC
      dtype: float64
    - name: prob__Top-1 Accuracy
      dtype: float64
    - name: report__0__f1-score
      dtype: float64
    - name: report__0__precision
      dtype: float64
    - name: report__0__recall
      dtype: float64
    - name: report__0__support
      dtype: float64
    - name: report__1__f1-score
      dtype: float64
    - name: report__1__precision
      dtype: float64
    - name: report__1__recall
      dtype: float64
    - name: report__1__support
      dtype: float64
    - name: report__accuracy__f1-score
      dtype: float64
    - name: report__accuracy__precision
      dtype: float64
    - name: report__accuracy__recall
      dtype: float64
    - name: report__accuracy__support
      dtype: float64
    - name: report__macro avg__f1-score
      dtype: float64
    - name: report__macro avg__precision
      dtype: float64
    - name: report__macro avg__recall
      dtype: float64
    - name: report__macro avg__support
      dtype: float64
    - name: report__weighted avg__f1-score
      dtype: float64
    - name: report__weighted avg__precision
      dtype: float64
    - name: report__weighted avg__recall
      dtype: float64
    - name: report__weighted avg__support
      dtype: float64
  - name: timestamp
    struct:
    - name: date
      dtype: string
    - name: hour
      dtype: int64
    - name: minute
      dtype: int64
    - name: second
      dtype: int64
    - name: time
      dtype: string
  splits:
  - name: train
    num_bytes: 4412
    num_examples: 6
  download_size: 38764
  dataset_size: 4412
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---