README.md

---
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: train
    num_bytes: 5934
    num_examples: 17
  download_size: 17674
  dataset_size: 5934
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---