ainewtrend07/DecoderLora

1---2dataset_info:3  features:4  - name: Model_name5    dtype: string6  - name: Train_size7    dtype: int648  - name: Test_size9    dtype: int6410  - name: arg11    struct:12    - name: auto_find_batch_size13      dtype: bool14    - name: gradient_accumulation_steps15      dtype: int6416    - name: learning_rate17      dtype: float6418    - name: logging_steps19      dtype: int6420    - name: lr_scheduler_type21      dtype: string22    - name: num_train_epochs23      dtype: int6424    - name: optim25      dtype: string26    - name: output_dir27      dtype: string28    - name: report_to29      dtype: string30    - name: save_strategy31      dtype: string32    - name: save_total_limit33      dtype: int6434    - name: seed35      dtype: int6436    - name: warmup_steps37      dtype: int6438    - name: weight_decay39      dtype: float6440  - name: lora41    sequence: string42  - name: Parameters43    dtype: int6444  - name: Trainable_parameters45    dtype: int6446  - name: r47    dtype: int6448  - name: Memory Allocation49    dtype: string50  - name: Training Time51    dtype: string52  - name: Performance53    struct:54    - name: accuracy55      dtype: float6456    - name: f1_macro57      dtype: float6458    - name: f1_weighted59      dtype: float6460    - name: precision61      dtype: float6462    - name: recall63      dtype: float6464  splits:65  - name: train66    num_bytes: 200067    num_examples: 668  download_size: 1281869  dataset_size: 200070configs:71- config_name: default72  data_files:73  - split: train74    path: data/train-*75---76