README.md

---
dataset_info:
  features:
  - name: Model_name
    dtype: string
  - name: Train_size
    dtype: int64
  - name: Test_size
    dtype: int64
  - name: arg
    struct:
    - name: auto_find_batch_size
      dtype: bool
    - name: gradient_accumulation_steps
      dtype: int64
    - name: learning_rate
      dtype: float64
    - name: logging_steps
      dtype: int64
    - name: lr_scheduler_type
      dtype: string
    - name: num_train_epochs
      dtype: int64
    - name: output_dir
      dtype: string
    - name: report_to
      dtype: string
    - name: save_strategy
      dtype: string
    - name: save_total_limit
      dtype: int64
    - name: seed
      dtype: int64
    - name: warmup_steps
      dtype: int64
    - name: weight_decay
      dtype: float64
  - name: lora
    dtype: 'null'
  - name: Parameters
    dtype: int64
  - name: Trainable_parameters
    dtype: int64
  - name: r
    dtype: 'null'
  - name: Memory Allocation
    dtype: string
  - name: Training Time
    dtype: string
  - name: Performance
    struct:
    - name: accuracy
      dtype: float64
    - name: f1_macro
      dtype: float64
    - name: f1_weighted
      dtype: float64
    - name: precision
      dtype: float64
    - name: recall
      dtype: float64
  splits:
  - name: train
    num_bytes: 1332
    num_examples: 6
  download_size: 12029
  dataset_size: 1332
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---