metadata
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-*