| --- |
| 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: 435 |
| num_examples: 2 |
| download_size: 11648 |
| dataset_size: 435 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
