| RetroDataModelArguments: | |
| # DataArguments | |
| max_seq_length: 512 | |
| max_answer_length: 30 | |
| doc_stride: 128 | |
| return_token_type_ids: True | |
| pad_to_max_length: True | |
| preprocessing_num_workers: 5 | |
| overwrite_cache: False | |
| version_2_with_negative: True | |
| null_score_diff_threshold: 0.0 | |
| rear_threshold: 0.0 | |
| n_best_size: 20 | |
| use_choice_logits: False | |
| start_n_top: -1 | |
| end_n_top: -1 | |
| beta1: 1 | |
| beta2: 1 | |
| best_cof: 1 | |
| # SketchModelArguments | |
| sketch_model_name: google/electra-large-discriminator | |
| # sketch_model_mode: transfer | |
| sketch_architectures: ElectraForSequenceClassification | |
| # IntensiveModelArguments | |
| intensive_model_name: google/electra-large-discriminator | |
| intensive_model_mode: transfer | |
| intensive_architectures: ElectraForQuestionAnsweringAVPool | |
| TrainingArguments: | |
| # report_to: wandb | |
| run_name: squadv2-electra-base-sketch,squadv2-electra-base-intensive | |
| output_dir: outputs | |
| overwrite_output_dir: False | |
| learning_rate: 2e-5 | |
| evaluation_strategy: epoch | |
| save_strategy: steps # Save checkpoints every specified number of steps | |
| # save_steps: 5000 # Save model checkpoints every 5000 steps | |
| save_steps: 5000 | |
| save_total_limit: 2 # Maximum number of checkpoints to keep | |
| # load_best_model_at_end: True # Disable to avoid loading the best model at the end | |
| # no need to specify checkpoint_dir, it defaults to output_dir | |
| # no need to specify logging_dir, it defaults to output_dir | |
| per_device_train_batch_size: 512 | |
| per_device_eval_batch_size: 512 | |
| num_train_epochs: 10.0 | |
| # no need to specify metric_for_best_model for resuming from checkpoints | |
| no_cuda: False | |
| fp16: True | |
| warmup_ratio: 0.1 | |
| weight_decay: 0.01 |